Best Kappa Classification Python Script
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Citation
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Identification
Title: | Main Title: Best Kappa Classification Python Script |
Description: | 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. |
Identifier: | 10.5880/TR32DB.15 (DOI) |
Responsible Party
Creator: | Christoph Hütt (Author) |
Contributor: | University of Cologne (Institute of Geography) (Producer) |
Publisher: | CRC/TR32 Database (TR32DB) |
Publication Year: | 2015 |
Topic
Subjects: | Keywords: Remote Sensing Methods, Remote Sensing, GIS, Land Use, Land Cover, Land Cover Mapping, Classification |
Geogr. Information Topic: | Geoscientific Information |
File Details
Filename: | bestkappascript.zip |
Data Type: | Software - Software |
File Size: | 6 KB |
Date: | Created: 13.11.2015 |
Mime Type: | application/zip |
Language: | English |
Archive Content
Constraints
Download Permission: | Free |
Licence: | [Open Data Commons] Attribution License (ODC-By) |
Geographic
Metadata Details
Metadata Creator: | Christoph Hütt |
Metadata Created: | 13.11.2015 |
Metadata Last Updated: | 13.11.2015 |
Subproject: | Z1 |
Funding Phase: | 3 |
Metadata Language: | English |
Metadata Version: | V50 |
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Dataset Statistics
Page Visits: | 773 |
Metadata Downloads: | 0 |
Dataset Downloads: | 17 |
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By downloading this dataset you accept the license terms of [Open Data Commons] Attribution License (ODC-By) and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.