Land use classification 2013 of the CRC/TR32 measurement region Selhausen/Merken, preliminary results

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*Title:*	Main Title: Land use classification 2013 of the CRC/TR32 measurement region Selhausen/Merken, preliminary results
*Description:*	Abstract: This data set contains the preliminary land use classification of 2013 for the measurement region Selhausen/Merken of the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
*Identifier:*	10.5880/TR32DB.6 (DOI)
*Related Resources:*	References 10.1117/12.813171 (DOI) References 10.5194/isprsannals-I-7-177-2012 (DOI)
*Citation Advice:*	Lussem, Ulrike; Waldhoff, Guido (2013): Land use classification 2013 of the CRC/TR32 measurement region Selhausen/Merken, preliminary results. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.6

Responsible Party

*Creators:*	Ulrike Lussem (Author), Guido Waldhoff (Author)
*Contributors:*	University of Cologne (Institute of Geography) (Producer), Guido Waldhoff (Contact Person), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Producer), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution)
*Funding Reference:*	Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
*Publisher:*	CRC/TR32 Database (TR32DB)
*Publication Year:*	2013

Topic

*TR32 Topic:*	Land Use
*Related Subproject:*	Z1
*Subjects:*	Keywords: Agriculture, ATKIS, Land Cover, Land Use, Remote Sensing
*Geogr. Information Topic:*	Geoscientific Information

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*Download Permission:*	Free
*Licence:*	[TR32DB] Data policy agreement

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*Temporal Extent:*	19.05.2013
*Lineage:*	The land use classification is derived from supervised, remote sensing data analysis using ASTER. For the land use analysis a dataset of the following acquisition date was employed: May 19. To enhance the information content of the land use data product, the Multi-Data Approach (MDA) was applied to combine the remote sensing derived land use information with additional data sets like the ‘Authorative Topographic-Cartographic Information System’ (ATKIS Basic-DLM, AAA schema) and ‘Physical Block’ information.
*Subtype:*	Natural Science Data

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