Crop Classification 2017 of the Rur Catchement using Sentinel-1 and data from open.NRW
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Feature
Citation
Citation Options
Identification
| 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
| TR32 Topic: | Land Use |
| Related Subproject: | Z1 |
| 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 |
| Data Format: | GeoTIFF |
| Language: | English |
| Status: | Completed |
Archive Content
Constraints
| Download Permission: | Free |
| Download Information: | All datasets to produce this data can be downloaded from the TR32DB. |
| General Access and Use Conditions: | This dataset is produced with data from Bezirksregierung Köln. By downloading this dataset you accept adequate reference in case this data will be discussed or used in any publication or presentation. Please consider the conditions mentioned in the Data licence Germany – attribution – version 2.0 (https://www.govdata.de/dl-de/by-2-0). Contains modified Copernicus Sentinel data [2017]. |
| Access Limitations: | This dataset is produced with data from Bezirksregierung Köln. By downloading this dataset you accept adequate reference in case this data will be discussed or used in any publication or presentation. Please consider the conditions mentioned in the Data licence Germany – attribution – version 2.0 (https://www.govdata.de/dl-de/by-2-0). Contains modified Copernicus Sentinel data [2017]. |
| Licence: | [Open Data Commons] Attribution License (ODC-By) |
Geographic
Specific Information - Data
| Temporal Extent: | 01.01.2017, 11:58:00 - 31.08.2017, 11:59:00 |
| Lineage: | Supervised classification (RandomForest) using a R Script, based on the multitemporal Sentinel-1 acquisitions the crop distribution mapping, and the ALKIS cadastre data. All external datasets are also available in the TR32DB. |
| Subtype: | Natural Science Data |
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 |
Metadata Export
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Dataset Statistics
| Page Visits: | 896 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 43 |
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.
