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#         GLAD Landsat ARD Tools, v. 1.1        #
# Global Land Analysis and Discovery (GLAD) Lab #
#            University of Maryland             #
#         https://glad.umd.edu/ard/home         #
#    Peter Potapov (potapov.peter@gmail.com)    #
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Copyright © Global Land Analysis and Discovery Team, University of Maryland 

The package includes the following freeware tools:
MinGW - C++ compiler, GNU C Library (Open source software; Copyright © Free Software Foundation)
gdal - GDAL Core (Open source software; Copyright © Frank Warmerdam and others)
tree.exe – CART model (Open source software; Copyright © B. D. Ripley and J. Ju)
Other utilities – GLAD ARD Tools (Freeware; Copyright © GLAD UMD)
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Installation (Windows 10):
1. Unpack GLAD_1.1.zip to C:\GLAD_1.1
2. Execute Add_PATH_for_GLAD_v1.1.bat
3. Reboot your computer

The GLAD Tools require the following open source software:
PERL			http://strawberryperl.com/
QGIS/OSGeo4W	https://qgis.org/en/site/forusers/download.html
R				https://cloud.r-project.org/
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C:\GLAD_1.1
	Data
		Classification		Empty layers for collecting training data
		Global_tiles		ESRI Shapefile of global ARD tiles
	Documentation			Manual, metric name conversion, 16-day interval IDs, publications
	Examples				Examples of ARD Tools application


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Update log
V.1.1.0 (1/11/2021)		First release
V.1.1.1 (3/18/2021)		Data management codes fixed 
							classification.pl
							build_metrics.pl
V.1.1.2 (8/20/2021)		Data management codes fixed
							classification.pl
						New metric type E (growing season metrics)
							build_metrics_seasonal.pl
						Apply locally calibrated model 
							apply_local_model.pl
						Train and apply classification model using training from multiple years
							multitemporal_class_export.pl
							multitemporal_class_model.pl
							multitemporal_class_apply.pl
						Fix metric generation codes to handle non-standard QA (South America 1997-2004 data)
							make_*.exe files
V.1.1.3 (10/20/2021)	Fixed sample data extraction code
							samples_data.pl
						New sample map data extraction code
							samples_map_data.pl
