Crop Classification 2017 of the Rur Catchement using Sentinel-1 and data from open.NRW

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Title:Main Title: Crop Classification 2017 of the Rur Catchement using Sentinel-1 and data from open.NRW
Description:Abstract: This dataset contains the crop classification of 2017 for the German area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation." The crop classification is derived from multitemporal remote sensing data analysis using Sentinel-1. In total 70 acquisitions, each covering the whole AOI were used. External data from open.NRW was used. The DGM1 and the ALKIS cadastre data. Accuracy assessment revealed a high overall accuracy of about 97% for the eleven crop classes. Only the German part of the TR32 is included in the data.
Identifier:10.5880/TR32DB.33 (DOI)
Related Resources:Is Derived From Dataset http://www.tr32db.uni-koeln.de/data.php?dataID=1845 (URL)
Is Derived From Dataset http://www.tr32db.uni-koeln.de/data.php?dataID=1818 (URL)
Is Derived From Dataset http://www.tr32db.uni-koeln.de/data.php?dataID=1850 (URL)
Responsible Party
Creator:Christoph Hütt (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2018
Topic
Subjects:Keywords: Classification, Land Use, Land Cover, Remote Sensing, Radar
Geogr. Information Topic:Farming
File Details
Filename:crop_classification_2017.zip
Data Type:Dataset - Dataset
File Size:3.6 MB
Date:Available: 18.12.2018
Mime Type:application/zip
Language:English
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Download Permission:Free
Licence:[Open Data Commons] Attribution License (ODC-By)
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Metadata Details
Metadata Creator:Christoph Hütt
Metadata Created:18.12.2018
Metadata Last Updated:18.12.2018
Subproject:Z1
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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Dataset Downloads:42
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