/************************************************************************************************
/*
/*&r Isocluster.txt	
/*
/*By Glen Stichbury
/*g.stichbury@gmail.com
/*
/*
/************************************************************************************************
/*
/*
/*This AML script uses an Iterative Self Organizing clustering algorythm to determine natural
/*groupings of cells in multidimentional-attribute space. The output ASCII signature file is then
/*used for a maximum-likelihood classification on a stack. The output grid is then classified
/*into two classes, class 1 = snow and ice, class 0 = bare rock. An overall average (Part 2) is 
/*then taken.	
/*
/*Created Aug 2008
/* 												
/*
/************************************************************************************************														
/*
/*Notes:
/*
/*Variables required for this script to function include .nclass (number of classes), .niterations
/*(number of iterations), .minsize (minimum class size), and .interval (sample interval size) all 
/*required in the isocluster command. The final variable values for the original project are 
/*currently set, however user response options have been commented out and can be used in place
/*of the final variables.
/*The variable .iso set at 2005261 has been set to be used in each mlclassify command as this data
/*was chosen to be used as the signature file for all mlclassifications. However an Isocluster has
/*been run on each image and could be edited into the mlclassify command in place of the .iso 
/*variable.
/*Using the set variables and input images used in this project classes 1 and 2 = bare rock.
/*
/************************************************************************************************
/*

&if [show program] ne GRID &then &do																			
&if [show program] ne ARC &then quit																			
grid																			
&end																			
																			
&sv .nclass = 10 /*[response 'Please Enter nclass value for analysis (2+)']																			
&sv .niterations = 5 /*[response 'Please Enter niterations value for analysis (# = 20)']																			
&sv .minsize = 10 /*[response 'Please Enter min_class_size value for analysis (# = 20)']																			
&sv .interval = 10 /*[response 'Please Enter sample_interval value for analysis (# = 10)']																			
&sv .iso = 2005261																			
&type +++Isocluster = %.iso%+++																			
&type 																			
&type +++Rock = 1-2+++																			
&type																			


&if [exists E:\Glen\Masters\Workstation\Imagestats\Clusters -workspace] &then																			
&type +++Workspace Exists+++																			
&else arc cw E:\Glen\Masters\Workstation\Imagestats\Clusters																			
&sv .output2 E:\Glen\Masters\Workstation\Imagestats\Clusters																			

&if [exists %.output2%\Classified -workspace] &then																			
&type +++Workspace Exists+++																			
&else arc cw %.output2%\Classified



																			
&call Part1																			
&call Part2																			
&call Part3																			
																			
																			
&type +++AML Script Complete+++																			
&if [show program] ne ARC &then quit																			
&return																			
/************************************************************************************************																			
&routine Part1																			
																			
																																					
																			
&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.iso%																		
&if [exist %.output2%\%.iso%clust.gsg -FILE] &then &sys erase %.output2%\%.iso%clust.gsg																			
%.output2%\%.iso%clust = isocluster(%.input%\%.iso%, %.nclass%, %.niterations%, %.minsize%, %.interval%)																			
																			
																			
	&sv .image	2004356	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -FILE] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2004358	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005003	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005011	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005015	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005017	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005018	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005022	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005029	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005031	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005033	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005035	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005041	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005043	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005045	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005046	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005058	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005063	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005067	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005069	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005072	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005074	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005261	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005263	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005265	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005267	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005269	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005273	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005278	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005282	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005288	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005290	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005295	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005299	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005301	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005302	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005303	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005308	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005314	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005322	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005331	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005333	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005337	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005339	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005340	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005348	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005349	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005362	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2005363	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006006	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006007	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006008	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006017	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006034	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006039	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006040	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006042	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006045	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006046	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006053	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006065	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006068	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006271	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006274	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006280	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006281	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006282	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006296	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006301	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006302	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006304	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006306	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006307	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006311	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006313	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006315	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006316	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006317	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006325	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006326	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006331	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006332	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006333	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006338	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006339	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006340	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006342	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006350	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006358	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2006365	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007003	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007007	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007009	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007010	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007011	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007012	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007013	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007014	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007018	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007024	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007026	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007027	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007029	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007038	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007042	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007043	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007054	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007059	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007061	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007062	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007064	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007067	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007068	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007069	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007070	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007075	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007076	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007077	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007078	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007079	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007087	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007258	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007263	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007265	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007267	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007268	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007270	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007278	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007282	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007285	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007292	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007299	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007304	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007305	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007309	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007316	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007320	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007328	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007338	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007343	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007346	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007347	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007350	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007352	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007354	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007357	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007358	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2007359	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008003	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008013	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008014	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008015	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008018	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008021	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008026	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008028	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008029	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008030	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008037	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008046	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008047	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008048	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008051	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008058	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008085	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008087	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
	&sv .image	2008088	;	&sv .input	E:\Glen\Masters\workstation\NDSI\grids\%.image%	;	&sv .output	E:\Glen\Masters\Workstation\Imagestats\sumgrids	;	&if [exist %.output2%\%.image%clust.gsg -file] &then &sys erase %.output2%\%.image%clust.gsg	;	&if [exist %.output2%\%.image%clust -grid] &then kill %.output2%\%.image%clust all	;	%.output2%\%.image%clust = isocluster(%.input%\%.image%, %.nclass%, %.niterations%, %.minsize%, %.interval%) 	;	%.output2%\%.image%clust = mlclassify(%.input%\%.image%, %.output2%\%.iso%clust.gsg)	;	&if [exist %.output2%\Classified\%.image%class -grid] &then kill %.output2%\Classified\%.image%class all  ;	%.output2%\Classified\%.image%class = con(%.output2%\%.image%clust > 2, 1, 0)
																			
&return																			
/************************************************************************************************																			
&routine Part2																			
																			
																			
&if [exists %.output2%\Classified\mean -workspace] &then																			
&type +++Workspace Exists+++																			
&else arc cw %.output2%\Classified\mean																			
&sv .output %.output2%\Classified\mean																			
																			
	&sv .image1	2004356class	;	&sv .input1	%.output2%\Classified	;												
	&sv .image2	2004358class	;	&sv .input2	%.output2%\Classified	;												
	&sv .image3	2005003class	;	&sv .input3	%.output2%\Classified	;												
	&sv .image4	2005011class	;	&sv .input4	%.output2%\Classified	;												
	&sv .image5	2005015class	;	&sv .input5	%.output2%\Classified	;												
	&sv .image6	2005017class	;	&sv .input6	%.output2%\Classified	;												
	&sv .image7	2005018class	;	&sv .input7	%.output2%\Classified	;												
	&sv .image8	2005022class	;	&sv .input8	%.output2%\Classified	;												
	&sv .image9	2005029class	;	&sv .input9	%.output2%\Classified	;												
	&sv .image10	2005031class	;	&sv .input10	%.output2%\Classified	;												
	&sv .image11	2005033class	;	&sv .input11	%.output2%\Classified	;												
	&sv .image12	2005035class	;	&sv .input12	%.output2%\Classified	;												
	&sv .image13	2005041class	;	&sv .input13	%.output2%\Classified	;												
	&sv .image14	2005043class	;	&sv .input14	%.output2%\Classified	;												
	&sv .image15	2005045class	;	&sv .input15	%.output2%\Classified	;												
	&sv .image16	2005046class	;	&sv .input16	%.output2%\Classified	;												
	&sv .image17	2005058class	;	&sv .input17	%.output2%\Classified	;												
	&sv .image18	2005063class	;	&sv .input18	%.output2%\Classified	;												
	&sv .image19	2005067class	;	&sv .input19	%.output2%\Classified	;												
	&sv .image20	2005069class	;	&sv .input20	%.output2%\Classified	;												
	&sv .image21	2005072class	;	&sv .input21	%.output2%\Classified	;												
	&sv .image22	2005074class	;	&sv .input22	%.output2%\Classified	;												
	&sv .image23	2005261class	;	&sv .input23	%.output2%\Classified	;												
	&sv .image24	2005263class	;	&sv .input24	%.output2%\Classified	;												
	&sv .image25	2005265class	;	&sv .input25	%.output2%\Classified	;												
	&sv .image26	2005267class	;	&sv .input26	%.output2%\Classified	;												
	&sv .image27	2005269class	;	&sv .input27	%.output2%\Classified	;												
	&sv .image28	2005273class	;	&sv .input28	%.output2%\Classified	;												
	&sv .image29	2005278class	;	&sv .input29	%.output2%\Classified	;												
	&sv .image30	2005282class	;	&sv .input30	%.output2%\Classified	;												
	&sv .image31	2005288class	;	&sv .input31	%.output2%\Classified	;												
	&sv .image32	2005290class	;	&sv .input32	%.output2%\Classified	;												
	&sv .image33	2005295class	;	&sv .input33	%.output2%\Classified	;												
	&sv .image34	2005299class	;	&sv .input34	%.output2%\Classified	;												
	&sv .image35	2005301class	;	&sv .input35	%.output2%\Classified	;												
	&sv .image36	2005302class	;	&sv .input36	%.output2%\Classified	;												
	&sv .image37	2005303class	;	&sv .input37	%.output2%\Classified	;												
	&sv .image38	2005308class	;	&sv .input38	%.output2%\Classified	;												
	&sv .image39	2005314class	;	&sv .input39	%.output2%\Classified	;												
	&sv .image40	2005322class	;	&sv .input40	%.output2%\Classified	;												
	&sv .image41	2005331class	;	&sv .input41	%.output2%\Classified	;												
	&sv .image42	2005333class	;	&sv .input42	%.output2%\Classified	;												
	&sv .image43	2005337class	;	&sv .input43	%.output2%\Classified	;												
	&sv .image44	2005339class	;	&sv .input44	%.output2%\Classified	;												
	&sv .image45	2005340class	;	&sv .input45	%.output2%\Classified	;												
	&sv .image46	2005348class	;	&sv .input46	%.output2%\Classified	;												
	&sv .image47	2005349class	;	&sv .input47	%.output2%\Classified	;												
	&sv .image48	2005362class	;	&sv .input48	%.output2%\Classified	;												
	&sv .image49	2005363class	;	&sv .input49	%.output2%\Classified	;												
																			
&if [exist %.output%\mean1 -grid] &then kill %.output%\mean1 all																			
&if [exist %.output%\mean1a -grid] &then kill %.output%\mean1a all																			
&if [exist %.output%\mean1b -grid] &then kill %.output%\mean1b all																			
&if [exist %.output%\mean1c -grid] &then kill %.output%\mean1c all																			
&if [exist %.output%\mean1d -grid] &then kill %.output%\mean1d all																			
&if [exist %.output%\mean1e -grid] &then kill %.output%\mean1e all																			
%.output%\mean1a = mean(%.input1%\%.image1%, %.input2%\%.image2%, %.input3%\%.image3%, %.input4%\%.image4%, %.input5%\%.image5%, %.input6%\%.image6%, %.input7%\%.image7%, %.input8%\%.image8%, %.input9%\%.image9%, %.input10%\%.image10%)																			
%.output%\mean1b = mean(%.input11%\%.image11%, %.input12%\%.image12%, %.input13%\%.image13%, %.input14%\%.image14%, %.input15%\%.image15%, %.input16%\%.image16%, %.input17%\%.image17%, %.input18%\%.image18%, %.input19%\%.image19%, %.input20%\%.image20%)																			
%.output%\mean1c = mean(%.input21%\%.image21%, %.input22%\%.image22%, %.input23%\%.image23%, %.input24%\%.image24%, %.input25%\%.image25%, %.input26%\%.image26%, %.input27%\%.image27%, %.input28%\%.image28%, %.input29%\%.image29%, %.input30%\%.image30%)																			
%.output%\mean1d = mean(%.input31%\%.image31%, %.input32%\%.image32%, %.input33%\%.image33%, %.input34%\%.image34%, %.input35%\%.image35%, %.input36%\%.image36%, %.input37%\%.image37%, %.input38%\%.image38%, %.input39%\%.image39%, %.input40%\%.image40%)																			
%.output%\mean1e = mean(%.input41%\%.image41%, %.input42%\%.image42%, %.input43%\%.image43%, %.input44%\%.image44%, %.input45%\%.image45%, %.input46%\%.image46%, %.input47%\%.image47%, %.input48%\%.image48%, %.input49%\%.image49%)																			
%.output%\mean1 = mean(%.output%\mean1a, %.output%\mean1b, %.output%\mean1c, %.output%\mean1d, %.output%\mean1e)																			
																			
	&sv .image1	2006006class	;	&sv .input1	%.output2%\Classified	;												
	&sv .image2	2006007class	;	&sv .input2	%.output2%\Classified	;												
	&sv .image3	2006008class	;	&sv .input3	%.output2%\Classified	;												
	&sv .image4	2006017class	;	&sv .input4	%.output2%\Classified	;												
	&sv .image5	2006034class	;	&sv .input5	%.output2%\Classified	;												
	&sv .image6	2006039class	;	&sv .input6	%.output2%\Classified	;												
	&sv .image7	2006040class	;	&sv .input7	%.output2%\Classified	;												
	&sv .image8	2006042class	;	&sv .input8	%.output2%\Classified	;												
	&sv .image9	2006045class	;	&sv .input9	%.output2%\Classified	;												
	&sv .image10	2006046class	;	&sv .input10	%.output2%\Classified	;												
	&sv .image11	2006053class	;	&sv .input11	%.output2%\Classified	;												
	&sv .image12	2006065class	;	&sv .input12	%.output2%\Classified	;												
	&sv .image13	2006068class	;	&sv .input13	%.output2%\Classified	;												
	&sv .image14	2006271class	;	&sv .input14	%.output2%\Classified	;												
	&sv .image15	2006274class	;	&sv .input15	%.output2%\Classified	;												
	&sv .image16	2006280class	;	&sv .input16	%.output2%\Classified	;												
	&sv .image17	2006281class	;	&sv .input17	%.output2%\Classified	;												
	&sv .image18	2006282class	;	&sv .input18	%.output2%\Classified	;												
	&sv .image19	2006296class	;	&sv .input19	%.output2%\Classified	;												
	&sv .image20	2006301class	;	&sv .input20	%.output2%\Classified	;												
	&sv .image21	2006302class	;	&sv .input21	%.output2%\Classified	;												
	&sv .image22	2006304class	;	&sv .input22	%.output2%\Classified	;												
	&sv .image23	2006306class	;	&sv .input23	%.output2%\Classified	;												
	&sv .image24	2006307class	;	&sv .input24	%.output2%\Classified	;												
	&sv .image25	2006311class	;	&sv .input25	%.output2%\Classified	;												
	&sv .image26	2006313class	;	&sv .input26	%.output2%\Classified	;												
	&sv .image27	2006315class	;	&sv .input27	%.output2%\Classified	;												
	&sv .image28	2006316class	;	&sv .input28	%.output2%\Classified	;												
	&sv .image29	2006317class	;	&sv .input29	%.output2%\Classified	;												
	&sv .image30	2006325class	;	&sv .input30	%.output2%\Classified	;												
	&sv .image31	2006326class	;	&sv .input31	%.output2%\Classified	;												
	&sv .image32	2006331class	;	&sv .input32	%.output2%\Classified	;												
	&sv .image33	2006332class	;	&sv .input33	%.output2%\Classified	;												
	&sv .image34	2006333class	;	&sv .input34	%.output2%\Classified	;												
	&sv .image35	2006338class	;	&sv .input35	%.output2%\Classified	;												
	&sv .image36	2006339class	;	&sv .input36	%.output2%\Classified	;												
	&sv .image37	2006340class	;	&sv .input37	%.output2%\Classified	;												
	&sv .image38	2006342class	;	&sv .input38	%.output2%\Classified	;												
	&sv .image39	2006350class	;	&sv .input39	%.output2%\Classified	;												
	&sv .image40	2006358class	;	&sv .input40	%.output2%\Classified	;												
	&sv .image41	2006365class	;	&sv .input41	%.output2%\Classified	;												
	&sv .image42	2007003class	;	&sv .input42	%.output2%\Classified	;												
	&sv .image43	2007007class	;	&sv .input43	%.output2%\Classified	;												
	&sv .image44	2007009class	;	&sv .input44	%.output2%\Classified	;												
	&sv .image45	2007010class	;	&sv .input45	%.output2%\Classified	;												
	&sv .image46	2007011class	;	&sv .input46	%.output2%\Classified	;												
	&sv .image47	2007012class	;	&sv .input47	%.output2%\Classified	;												
	&sv .image48	2007013class	;	&sv .input48	%.output2%\Classified	;												
	&sv .image49	2007014class	;	&sv .input49	%.output2%\Classified	;												
																			
&if [exist %.output%\mean2 -grid] &then kill %.output%\mean2 all																			
&if [exist %.output%\mean2a -grid] &then kill %.output%\mean2a all																			
&if [exist %.output%\mean2b -grid] &then kill %.output%\mean2b all																			
&if [exist %.output%\mean2c -grid] &then kill %.output%\mean2c all																			
&if [exist %.output%\mean2d -grid] &then kill %.output%\mean2d all																			
&if [exist %.output%\mean2e -grid] &then kill %.output%\mean2e all																			
%.output%\mean2a = mean(%.input1%\%.image1%, %.input2%\%.image2%, %.input3%\%.image3%, %.input4%\%.image4%, %.input5%\%.image5%, %.input6%\%.image6%, %.input7%\%.image7%, %.input8%\%.image8%, %.input9%\%.image9%, %.input10%\%.image10%)																			
%.output%\mean2b = mean(%.input11%\%.image11%, %.input12%\%.image12%, %.input13%\%.image13%, %.input14%\%.image14%, %.input15%\%.image15%, %.input16%\%.image16%, %.input17%\%.image17%, %.input18%\%.image18%, %.input19%\%.image19%, %.input20%\%.image20%)																			
%.output%\mean2c = mean(%.input21%\%.image21%, %.input22%\%.image22%, %.input23%\%.image23%, %.input24%\%.image24%, %.input25%\%.image25%, %.input26%\%.image26%, %.input27%\%.image27%, %.input28%\%.image28%, %.input29%\%.image29%, %.input30%\%.image30%)																			
%.output%\mean2d = mean(%.input31%\%.image31%, %.input32%\%.image32%, %.input33%\%.image33%, %.input34%\%.image34%, %.input35%\%.image35%, %.input36%\%.image36%, %.input37%\%.image37%, %.input38%\%.image38%, %.input39%\%.image39%, %.input40%\%.image40%)																			
%.output%\mean2e = mean(%.input41%\%.image41%, %.input42%\%.image42%, %.input43%\%.image43%, %.input44%\%.image44%, %.input45%\%.image45%, %.input46%\%.image46%, %.input47%\%.image47%, %.input48%\%.image48%, %.input49%\%.image49%)																			
%.output%\mean2 = mean(%.output%\mean2a, %.output%\mean2b, %.output%\mean2c, %.output%\mean2d, %.output%\mean2e)																			
																			
	&sv .image1	2007018class	;	&sv .input1	%.output2%\Classified	;												
	&sv .image2	2007024class	;	&sv .input2	%.output2%\Classified	;												
	&sv .image3	2007026class	;	&sv .input3	%.output2%\Classified	;												
	&sv .image4	2007027class	;	&sv .input4	%.output2%\Classified	;												
	&sv .image5	2007029class	;	&sv .input5	%.output2%\Classified	;												
	&sv .image6	2007038class	;	&sv .input6	%.output2%\Classified	;												
	&sv .image7	2007042class	;	&sv .input7	%.output2%\Classified	;												
	&sv .image8	2007043class	;	&sv .input8	%.output2%\Classified	;												
	&sv .image9	2007054class	;	&sv .input9	%.output2%\Classified	;												
	&sv .image10	2007059class	;	&sv .input10	%.output2%\Classified	;												
	&sv .image11	2007061class	;	&sv .input11	%.output2%\Classified	;												
	&sv .image12	2007062class	;	&sv .input12	%.output2%\Classified	;												
	&sv .image13	2007064class	;	&sv .input13	%.output2%\Classified	;												
	&sv .image14	2007067class	;	&sv .input14	%.output2%\Classified	;												
	&sv .image15	2007068class	;	&sv .input15	%.output2%\Classified	;												
	&sv .image16	2007069class	;	&sv .input16	%.output2%\Classified	;												
	&sv .image17	2007070class	;	&sv .input17	%.output2%\Classified	;												
	&sv .image18	2007075class	;	&sv .input18	%.output2%\Classified	;												
	&sv .image19	2007076class	;	&sv .input19	%.output2%\Classified	;												
	&sv .image20	2007077class	;	&sv .input20	%.output2%\Classified	;												
	&sv .image21	2007078class	;	&sv .input21	%.output2%\Classified	;												
	&sv .image22	2007079class	;	&sv .input22	%.output2%\Classified	;												
	&sv .image23	2007087class	;	&sv .input23	%.output2%\Classified	;												
	&sv .image24	2007258class	;	&sv .input24	%.output2%\Classified	;												
	&sv .image25	2007263class	;	&sv .input25	%.output2%\Classified	;												
	&sv .image26	2007265class	;	&sv .input26	%.output2%\Classified	;												
	&sv .image27	2007267class	;	&sv .input27	%.output2%\Classified	;												
	&sv .image28	2007268class	;	&sv .input28	%.output2%\Classified	;												
	&sv .image29	2007270class	;	&sv .input29	%.output2%\Classified	;												
	&sv .image30	2007278class	;	&sv .input30	%.output2%\Classified	;												
	&sv .image31	2007282class	;	&sv .input31	%.output2%\Classified	;												
	&sv .image32	2007285class	;	&sv .input32	%.output2%\Classified	;												
	&sv .image33	2007292class	;	&sv .input33	%.output2%\Classified	;												
	&sv .image34	2007299class	;	&sv .input34	%.output2%\Classified	;												
	&sv .image35	2007304class	;	&sv .input35	%.output2%\Classified	;												
	&sv .image36	2007305class	;	&sv .input36	%.output2%\Classified	;												
	&sv .image37	2007309class	;	&sv .input37	%.output2%\Classified	;												
	&sv .image38	2007316class	;	&sv .input38	%.output2%\Classified	;												
	&sv .image39	2007320class	;	&sv .input39	%.output2%\Classified	;												
	&sv .image40	2007328class	;	&sv .input40	%.output2%\Classified	;												
	&sv .image41	2007338class	;	&sv .input41	%.output2%\Classified	;												
	&sv .image42	2007343class	;	&sv .input42	%.output2%\Classified	;												
	&sv .image43	2007346class	;	&sv .input43	%.output2%\Classified	;												
	&sv .image44	2007347class	;	&sv .input44	%.output2%\Classified	;												
	&sv .image45	2007350class	;	&sv .input45	%.output2%\Classified	;												
	&sv .image46	2007352class	;	&sv .input46	%.output2%\Classified	;												
	&sv .image47	2007354class	;	&sv .input47	%.output2%\Classified	;												
	&sv .image48	2007357class	;	&sv .input48	%.output2%\Classified	;												
	&sv .image49	2007358class	;	&sv .input49	%.output2%\Classified	;												
																			
&if [exist %.output%\mean3 -grid] &then kill %.output%\mean3 all																			
&if [exist %.output%\mean3a -grid] &then kill %.output%\mean3a all																			
&if [exist %.output%\mean3b -grid] &then kill %.output%\mean3b all																			
&if [exist %.output%\mean3c -grid] &then kill %.output%\mean3c all																			
&if [exist %.output%\mean3d -grid] &then kill %.output%\mean3d all																			
&if [exist %.output%\mean3e -grid] &then kill %.output%\mean3e all																			
%.output%\mean3a = mean(%.input1%\%.image1%, %.input2%\%.image2%, %.input3%\%.image3%, %.input4%\%.image4%, %.input5%\%.image5%, %.input6%\%.image6%, %.input7%\%.image7%, %.input8%\%.image8%, %.input9%\%.image9%, %.input10%\%.image10%)																			
%.output%\mean3b = mean(%.input11%\%.image11%, %.input12%\%.image12%, %.input13%\%.image13%, %.input14%\%.image14%, %.input15%\%.image15%, %.input16%\%.image16%, %.input17%\%.image17%, %.input18%\%.image18%, %.input19%\%.image19%, %.input20%\%.image20%)																			
%.output%\mean3c = mean(%.input21%\%.image21%, %.input22%\%.image22%, %.input23%\%.image23%, %.input24%\%.image24%, %.input25%\%.image25%, %.input26%\%.image26%, %.input27%\%.image27%, %.input28%\%.image28%, %.input29%\%.image29%, %.input30%\%.image30%)																			
%.output%\mean3d = mean(%.input31%\%.image31%, %.input32%\%.image32%, %.input33%\%.image33%, %.input34%\%.image34%, %.input35%\%.image35%, %.input36%\%.image36%, %.input37%\%.image37%, %.input38%\%.image38%, %.input39%\%.image39%, %.input40%\%.image40%)																			
%.output%\mean3e = mean(%.input41%\%.image41%, %.input42%\%.image42%, %.input43%\%.image43%, %.input44%\%.image44%, %.input45%\%.image45%, %.input46%\%.image46%, %.input47%\%.image47%, %.input48%\%.image48%, %.input49%\%.image49%)																			
%.output%\mean3 = mean(%.output%\mean3a, %.output%\mean3b, %.output%\mean3c, %.output%\mean3d, %.output%\mean3e)																			
																			
	&sv .image1	2007359class	;	&sv .input1	%.output2%\Classified	;												
	&sv .image2	2008003class	;	&sv .input2	%.output2%\Classified	;												
	&sv .image3	2008013class	;	&sv .input3	%.output2%\Classified	;												
	&sv .image4	2008014class	;	&sv .input4	%.output2%\Classified	;												
	&sv .image5	2008015class	;	&sv .input5	%.output2%\Classified	;												
	&sv .image6	2008018class	;	&sv .input6	%.output2%\Classified	;												
	&sv .image7	2008021class	;	&sv .input7	%.output2%\Classified	;												
	&sv .image8	2008026class	;	&sv .input8	%.output2%\Classified	;												
	&sv .image9	2008028class	;	&sv .input9	%.output2%\Classified	;												
	&sv .image10	2008029class	;	&sv .input10	%.output2%\Classified	;												
	&sv .image11	2008030class	;	&sv .input11	%.output2%\Classified	;												
	&sv .image12	2008037class	;	&sv .input12	%.output2%\Classified	;												
	&sv .image13	2008046class	;	&sv .input13	%.output2%\Classified	;												
	&sv .image14	2008047class	;	&sv .input14	%.output2%\Classified	;												
	&sv .image15	2008048class	;	&sv .input15	%.output2%\Classified	;												
	&sv .image16	2008051class	;	&sv .input16	%.output2%\Classified	;												
	&sv .image17	2008058class	;	&sv .input17	%.output2%\Classified	;												
	&sv .image18	2008085class	;	&sv .input18	%.output2%\Classified	;												
	&sv .image19	2008087class	;	&sv .input19	%.output2%\Classified	;												
	&sv .image20	2008088class	;	&sv .input20	%.output2%\Classified	;												
																			
&if [exist %.output%\mean4 -grid] &then kill %.output%\mean4 all																			
&if [exist %.output%\mean4a -grid] &then kill %.output%\mean4a all																			
&if [exist %.output%\mean4b -grid] &then kill %.output%\mean4b all																			
%.output%\mean4a = mean(%.input1%\%.image1%, %.input2%\%.image2%, %.input3%\%.image3%, %.input4%\%.image4%, %.input5%\%.image5%, %.input6%\%.image6%, %.input7%\%.image7%, %.input8%\%.image8%, %.input9%\%.image9%, %.input10%\%.image10%)																			
%.output%\mean4b = mean(%.input11%\%.image11%, %.input12%\%.image12%, %.input13%\%.image13%, %.input14%\%.image14%, %.input15%\%.image15%, %.input16%\%.image16%, %.input17%\%.image17%, %.input18%\%.image18%, %.input19%\%.image19%, %.input20%\%.image20%)																			
%.output%\mean4 = mean(%.output%\mean4a, %.output%\mean4b)																			
		     																	
&if [exist %.output%\meanall -grid] &then kill %.output%\meanall all																			
%.output%\meanall = mean(%.output%\mean1, %.output%\mean2, %.output%\mean3, %.output%\mean4)																			
																			
																		
																			
																			
																			
																			
																			
&return																			
/************************************************************************************************																			
&routine Part3																			
																			
&if [exist %.output%\mean1a -grid] &then kill %.output%\mean1a all																			
&if [exist %.output%\mean1b -grid] &then kill %.output%\mean1b all																			
&if [exist %.output%\mean1c -grid] &then kill %.output%\mean1c all																			
&if [exist %.output%\mean1d -grid] &then kill %.output%\mean1d all																			
&if [exist %.output%\mean1e -grid] &then kill %.output%\mean1e all																			
&if [exist %.output%\mean2a -grid] &then kill %.output%\mean2a all																			
&if [exist %.output%\mean2b -grid] &then kill %.output%\mean2b all																			
&if [exist %.output%\mean2c -grid] &then kill %.output%\mean2c all																			
&if [exist %.output%\mean2d -grid] &then kill %.output%\mean2d all																			
&if [exist %.output%\mean2e -grid] &then kill %.output%\mean2e all																			
&if [exist %.output%\mean3a -grid] &then kill %.output%\mean3a all																			
&if [exist %.output%\mean3b -grid] &then kill %.output%\mean3b all																			
&if [exist %.output%\mean3c -grid] &then kill %.output%\mean3c all																			
&if [exist %.output%\mean3d -grid] &then kill %.output%\mean3d all																			
&if [exist %.output%\mean3e -grid] &then kill %.output%\mean3e all																			
&if [exist %.output%\mean4a -grid] &then kill %.output%\mean4a all																			
&if [exist %.output%\mean4b -grid] &then kill %.output%\mean4b all																			
																			
&return																			
/************************************************************************************************