Data Description of DOI 10.5880/TR32DB.33

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Citation:Hütt, Christoph (2018): Crop Classification 2017 of the Rur Catchement using Sentinel-1 and data from open.NRW. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.33
Title(s):Main Title: Crop Classification 2017 of the Rur Catchement using Sentinel-1 and data from open.NRW
Description(s):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.
Subject(s):CRC/TR32 Keywords: Classification, Land Use, Land Cover, Remote Sensing, Radar
ISO Topic Category: Farming
Date(s):Available: 2018-12-18
Related Identifier(s):Is Derived From: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1845, related data type: Dataset
Is Derived From: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1818, related data type: Dataset
Is Derived From: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1850, related data type: Dataset
Language:English
Resource Type:Dataset
Format:application/zip
Licence:Open Data Commons Attribution License (ODC-By)
Geographic:
North:51.16390
East:6.74794
South:50.38231
West:5.94594
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Contact:Christoph Hütt

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