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1 to 10 of 36 Results
Jan 25, 2022 - 3D Spatial Data Processing
Zahs, Vivien; Winiwarter, Lukas; Anders, Katharina; Williams, Jack G.; Rutzinger, Martin; Bremer, Magnus; Höfle, Bernhard, 2021, "Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]", https://doi.org/10.11588/data/TGSVUI, heiDATA, V2
The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform point cloud-based topographic change analysis have used the multi-scale-model-to-model-cloudcomparison...
Jan 7, 2022 - Institut für Politische Wissenschaft - AG Tosun
Tosun, Jale; Rinscheid, Adrian, 2022, "What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]", https://doi.org/10.11588/data/PVQVWW, heiDATA, V1, UNF:6:QwjNtOHS1nnVsCIBHgxPMg== [fileUNF]
This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean ene...
Dec 9, 2021 - 3D Spatial Data Processing
Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1
This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...
Oct 12, 2021 - GIScience / Geoinformatics Research Group
Li, Hao; Zech, Johannes; Ludwig, Christina; Fendrich, Sascha; Shapiro, Aurelie; Schultz, Michael; Zipf, Alexander, 2021, "Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]", https://doi.org/10.11588/data/AAKAF9, heiDATA, V1
Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are importa...
Aug 18, 2021 - 3D Spatial Data Processing
Weiser, Hannah; Winiwarter, Lukas; Anders, Katharina; Fassnacht, Fabian Ewald; Höfle, Bernhard, 2021, "Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]", https://doi.org/10.11588/data/MZBO7T, heiDATA, V1
Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key...
Aug 12, 2021
Jun 15, 2021 - 3D Spatial Data Processing
Winiwarter, Lukas; Anders, Katharina; Zahs, Vivien; Hämmerle, Martin; Höfle, Bernhard, 2021, "M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]", https://doi.org/10.11588/data/XHYB10, heiDATA, V1
The analysis of topographic time series is often based on bitemporal change detection and quantification. For 3D point clouds, acquired using laser scanning or photogrammetry, random and systematic noise has to be separated from the signal of surface change by determining the mini...
Apr 26, 2021 - Hydrogeochemie und Hydrogeologie
Ritter, Simon; Leberecht, Kerstin; Eschenröder, Julian; Scholz, Christian, 2021, "Hells Bells project - results of sampling campaign in February 2020", https://doi.org/10.11588/data/GYLDH5, heiDATA, V2, UNF:6:1Ua7KESTWxO3lRrcac/mWQ== [fileUNF]
This data set compiles the results of water chemical analyses as well as bulk chemical analyses of the particles suspended in the water columns of cenotes (sinkholes) obtained during a sampling campaign in Mexico in February 2020. Three stratified cenotes from North-Eastern Yucat...
Mar 2, 2021 - Hydrology and Climatology
Tijdeman, Erik; Menzel, Lucas, 2021, "Daily gridded soil moisture simulations on a 1 km resolution grid covering Baden-Württemberg", https://doi.org/10.11588/data/PRXZAS, heiDATA, V1
The dataset contains gridded daily soil moisture simulations for Baden-Württemberg. The simulations were caried out with the hydroloigcal model TRAIN. The TRAIN model was set up for a 1 km resolution grid over the study region, which encompasses a variety of different soil, land...
Feb 23, 2021 - Geomorphology, Soil Geography and Geoarchaeology
Henselowsky, Felix; Rölkens, Julian; Kelterbaum, Daniel; Bubenzer, Olaf, 2021, "Digital Elevation Model "Ville" from 1893", https://doi.org/10.11588/data/LSG8TN, heiDATA, V1
The area of the Ville in western Germany is of particular importance for studying anthropogenic induced relief changes, as it belongs to the largest and oldest historic lignite mining areas worldwide. Comparison of topographic data from the first geodetic mapping in 1893 to 2015...
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