2024-03-29T10:01:27Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:10502018-01-23T14:09:56ZDOIDBDOIDB.TR32DB
10.5880/TR32DB.1
Waldhoff, Guido
Enhanced Land Use Classification of 2008 for the Rur catchment
TR32DB
2012
CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere
Systems: monitoring, modelling and data assimilation"
Land Use, Land Cover, Remote Sensing, Agriculture, ASTER,
RapidEye, Landsat, ATKIS, Rur Catchment
Waldhoff, Guido
CRC/Transregio 32, Sub-Project Z1/INF
University of Cologne, Regional Computing Centre (RRZK)
2012-10-17
eng
10.1117/12.813171
10.5194/isprsannals-I-7-177-2012
6727 kb
application/zip
1.0
This data set contains the enhanced land use
classification of 2008 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
land use classification is derived from supervised, multi temporal remote sensing data
analysis using "Advanced Spaceborne Thermal Emission and Reflection
Radiometer" (ASTER), Resourcesat-1 (IRS-P6), Landsat 5 TM (L5) and Landsat 7 ETM+
(L7). For the land use analysis datasets of the following acquisition dates were used: ASTER
(VNIR): May 05, 2008; IRS-P6 (LISS III): June 10, 2008; L7: July 15, 2008; L5: September 09,
2008. The incorporated sensors have different spatial resolutions of 15 m (ASTER, VNIR), 23.5
m (IRS-P6) and 30 m (Landsat TM & ETM+). For the land use analysis all datasets were
resampled to 15 m spatial resolution. 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 used 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 classification is provided
in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone
32N.
TR32DB data policy agreement
Deutsche Forschungsgemeinschaft
http://dx.doi.org/10.13039/501100001659
CRC/TR 32
Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data
Assimilation
--RurCatchment--
5.1763672
7.3736328
50.0831012
51.4723629