104 documents found in 155ms
# 1
Lussem, Ulrike
Abstract: This data set contains the preliminary land use classification of 2018 for the measurement region Selhausen/Merken/Merzenhausen 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.
# 2
von Hebel, Christian • Matveeva, Maria • Verweij, Elizabeth • Rademske, Patrick • Kaufmann, Manuela Sarah • (et. al.)
Abstract: This data set contains ground-based apparent electrical conductivity (ECa) of eight depth ranges of investigation. These were inverted for a three-layer electrical conductivity model. Five .dat files contain the depth-specific inverted electrical conductivity and respective layer thicknesses. Three dat-files correspond to airborne plant performance data. Additionally, six figures show the linear regressions between soil information (electrical conductivity property) and plant performance and one video shows the quasi-3D EMI inversion results.
# 3
Waldhoff, Guido
Abstract: This data set contains the land use classification of 2016 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 format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
# 4
Waldhoff, Guido • Herbrecht, Marina
Abstract: This data set contains the Enhanced land use classification of 2017 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 format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
# 5
Waldhoff, Guido
Abstract: This data set contains the preliminary land use classification of 2016 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 format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
# 6
Lussem, Ulrike • Waldhoff, Guido
Abstract: This data set contains the land use classification of 2014 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.
# 7
Lussem, Ulrike • Waldhoff, Guido
Abstract: This data set contains the land use classification of 2013 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.
# 8
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2010 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 RapidEye and Landsat 5 TM. For the land use analysis datasets of the following acquisition dates were used from RapidEye: May 23, May 20, July 07, July 08 and July 10. From Landsat 5 a dataset of August 14 was incorporated. 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.
# 9
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2009 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) and RapidEye. For the land use analysis datasets and of the following acquisition dates were used from RapidEye: May 24, June 01, August 15/16, August 31 and September 08. From ASTER a dataset of July 27 was incorporated. 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.
# 10
Waldhoff, Guido
Abstract: 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.
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