11 documents found in 138ms
# 1
Hütt, Christoph
Abstract: This dataset contains the crop classification of 2017 for the German area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation." The crop classification is derived from multitemporal remote sensing data analysis using Sentinel-1. In total 70 acquisitions, each covering the whole AOI were used. External data from open.NRW was used. The DGM1 and the ALKIS cadastre data. Accuracy assessment revealed a high overall accuracy of about 97% for the eleven crop classes. Only the German part of the TR32 is included in the data.
# 2
Hütt, Christoph
Abstract: Sentinel-1 is an imaging radar mission providing continuous all-weather, day-and-night imagery at C-band. This is a multitemporal composite of 70 images acquired in 2017 over the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation." Only the German part of the TR32 is included in the data.
# 3
Hütt, Christoph
Abstract: This file contains al parcels of the ALKIS over the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation" having the attribute agricultural field as their primary purpose. Only the German part of the TR32 is included in the data.
# 4
Hütt, Christoph
Abstract: This is a reduced spatial resolution height model (5m) derived from the DGM1 from open.NRW in the coordinate system WGS 84, which makes it compatible with the software SNAP, and well suited to aid the preprocessing of Sentinel-1 images. Only the German part of the TR32 is included in the data.
# 5
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
# 6
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
# 7
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.
# 8
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.
# 9
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.
# 10
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.
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