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Publication Year: 2021 Subject: Earth and Environmental Sciences

1 to 10 of 12 Results

Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results] Jan 13, 2021 - 3D Spatial Data Processing Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1 This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...
Geomorphology, Soil Geography and Geoarchaeology(Heidelberg University - Institute of Geography) Feb 23, 2021 Open research data from the research group "Geomorphology, Soil Geography and Geoarchaeology" at the Institute of Geography of Heidelberg University.
Digital Elevation Model "Ville" from 1893 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...
Daily gridded soil moisture simulations on a 1 km resolution grid covering Baden-Württemberg 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...
Hells Bells project - results of sampling campaign in February 2020 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...
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code] 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...
Institut für Politische Wissenschaft - AG Tosun(Universität Heidelberg) Aug 12, 2021
Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code] 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...
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data] 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 DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) 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...
GIScience / Geoinformatics Research Group(Heidelberg University - Institute of Geography) Oct 12, 2021 Data publications of the GIScience Group at the Institute of Geography at Heidelberg University.

Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]

Jan 13, 2021 - 3D Spatial Data Processing

Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1

This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...

Geomorphology, Soil Geography and Geoarchaeology(Heidelberg University - Institute of Geography)

Feb 23, 2021

Open research data from the research group "Geomorphology, Soil Geography and Geoarchaeology" at the Institute of Geography of Heidelberg University.

Digital Elevation Model "Ville" from 1893

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...

Daily gridded soil moisture simulations on a 1 km resolution grid covering Baden-Württemberg

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...

Hells Bells project - results of sampling campaign in February 2020

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...

M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]

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...

Institut für Politische Wissenschaft - AG Tosun(Universität Heidelberg)

Aug 12, 2021

Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]

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...

Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]

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

DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) 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...

GIScience / Geoinformatics Research Group(Heidelberg University - Institute of Geography)

Oct 12, 2021

Data publications of the GIScience Group at the Institute of Geography at Heidelberg University.

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