Best Kappa Classification Python Script
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Feature
Citation
Citation Options
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
| TR32 Topic: | Land Use |
| Related Subproject: | Z1 |
| 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 |
| Data Format: | ZIP |
| Language: | English |
| Status: | Completed |
Archive Content
Constraints
| Download Permission: | Free |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [Open Data Commons] Attribution License (ODC-By) |
Geographic
Specific Information - Data
| Temporal Extent: | 11.03.1958 - 11.03.2058 |
| Subtype: | Natural Science Data |
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 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 775 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 17 |
Dataset Activity
Feature
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.
