106 documents found in 138ms
# 1
Hütt, Christoph
Abstract: The file is an XML Graph file, which can be used to process Sentinel-1 satellite images in the Sentinel Application Platform (SNAP). Using this file enables batch processing of Sentinel-1 (IW, GRDH) images. The preprocessing is optimized for land use classification. The following tools are executed: Read Subset (TR32) Apply Orbit File Calibration Terrain Flattening (using DGM1) Speckle Filter (Gamma Map 3x3) Range-Doppler Terrain Correction using DGM1 Conversion to dB Conversion of datatype
# 2
Hütt, Christoph
Abstract: The file is an XML Graph file, which can be used to process Sentinel-1 satellite images in the Sentinel Application Platform (SNAP). Using this file enables batch processing of Sentinel-1 (IW, GRDH) images. The preprocessing is optimized for land use classification. The following tools are executed: Read Subset (TR32) Apply Orbit File Calibration Terrain Flattening Speckle Filter (Gamma Map 3x3) Range-Doppler Terrain Correction
# 3
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.
# 4
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.
# 5
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.
# 6
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.
# 7
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.
# 8
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.
# 9
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.
# 10
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.
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