Data Description of DOI 10.5880/TR32DB.15

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Citation:Hütt, Christoph (2015): Best Kappa Classification Python Script. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.15
Title(s):Main Title: Best Kappa Classification Python Script
Description(s):Abstract: This dataset contains a python script that can be used to automatically find the best combination of raster bands for a land use classification. The zip-file contains two python scripts, one for Python version 2.7 and ArcGIS 10.3 and one for Python version 3.4 and ArcGIS Pro.
Contributor(s):Producer: University of Cologne, Institute of Geography
Subject(s):CRC/TR32 Keywords: Remote Sensing Methods, Remote Sensing, GIS, Land Use, Land Cover, Land Cover Mapping, Classification
ISO Topic Category: GeoScientificInformation
Date(s):Created: 2015-11-13
Resource Type:Software
Licence:Open Data Commons Attribution License (ODC-By)
North:-no map data
Measurement Location:-
Contact:Christoph Hütt

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