Land use classification 2012 of the Rur Catchment

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*Title:*	Main Title: Land use classification 2012 of the Rur Catchment
*Description:*	Abstract: This data set contains the land use classification of 2012 for 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.9 (DOI)
*Citation Advice:*	Lussem, Ulrike; Waldhoff, Guido (2013): Land use classification 2012 of the Rur Catchment. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.9

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
*General Access and Use Conditions:*	According to the TR32DB data policy agreement.
*Access Limitations:*	According to the TR32DB data policy agreement.
*Licence:*	[TR32DB] Data policy agreement

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Specific Information - Data

*Temporal Extent:*	01.01.2012, 08:00:00 - 31.12.2012, 00:00:00
*Lineage:*	The land use classification is derived from supervised, multi temporal remote sensing data analysis using RapidEye and ASTER. For the land use analysis datasets of the following acquisition dates were employed: May 14 (ASTER), May 25, July 23, August 01 (RapidEye) and August 18 (ASTER). Full coverage of the study area was not available for all acquisition dates. 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. The methodology of the MDA is described in more detail in Waldhoff & Bareth (2008) and in Waldhoff et al. (2012). References: Waldhoff, G. & Bareth, G. (2008): GIS- and RS-based land use and land cover analysis: case study Rur-Watershed, Germany. - Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 714626 (November 10, 2008); doi:10.1117/12.813171. Waldhoff, G., Curdt, C., Hoffmeister, D. & Bareth, G. (2012): Analysis of multitemporal and multisensor remote sensing data for crop rotation mapping. - ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-7, 177-182, doi:10.5194/isprsannals-I-7-177-2012.
*Subtype:*	Natural Science Data

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