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31 to 40 of 66 Results
Gully detection with Inverse Morphological Reconstruction Algorithm [data]
Dec 13, 2023 - 3D Spatial Data Processing
Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf, 2023, "Gully detection with Inverse Morphological Reconstruction Algorithm [data]", https://doi.org/10.11588/data/PXDR4M, heiDATA, V1
Characterization of micro-terrain features has been explored to detect gully objects in the terrain. An adaptation to the morphological reconstruction operator is implemented to detect gullies instead of buildings or other man-made structures. This operator can be configured to d...
HELIOS full-waveform laser scanning simulation framework. Source code, precompiled version, example files for study of understory tree height scanning and respective output.
May 22, 2017 - 3D Spatial Data Processing
Hämmerle, Martin; Lukač, Niko; Chen, Kuei-Chia; Koma, Zsófia; Wang, Chi-Kuei; Anders, Katharina; Höfle, Bernhard, 2017, "HELIOS full-waveform laser scanning simulation framework. Source code, precompiled version, example files for study of understory tree height scanning and respective output.", https://doi.org/10.11588/data/10101, heiDATA, V1
This data collection enables any user to reproduce the study Hämmerle et al. (2017). It provides the source code to compile the applied simulation framework. Furthermore, a precompiled version of the software including the necessary files are provided so that a direct start of th...
Hells Bells project - results of sampling campaign in February 2020
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...
Hydrogeochemie und Hydrogeologie(Heidelberg University - Institute of Earth sciences)
Sep 18, 2020
This Dataverse contains research data of the research group Hydrogeochemistry and Hydrogeology of the Institute of Earth sciences. The research group Hydrogeochemistry and Hydrogeology of the Institute of Earth sciences Heidelberg is mainly focused on studies on the groundwater q...
Hydrology and Climatology(Heidelberg University - Institute of Geography)
Oct 23, 2020
Data publications from the Department for Hydrology and Climatology at the Institute of Geography of Heidelberg University.
Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]
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...
Institut für Politische Wissenschaft - AG Tosun(Universität Heidelberg)
Aug 12, 2021
Institut für Umweltphysik(Heidelberg University)
Sep 28, 2023
Integrating VGI contributions for gully mapping using Kalman filter and machine learning
Feb 19, 2024 - 3D Spatial Data Processing
Vallejo Orti, Miguel; Anders, Katharina; Ajali, Oliubikum; Bubenzer, Olaf; Höfle, Bernhard, 2024, "Integrating VGI contributions for gully mapping using Kalman filter and machine learning", https://doi.org/10.11588/data/UHSQG0, heiDATA, V1, UNF:6:dbfZe/C8CmWXcBEZJg2RPw== [fileUNF]
The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of input lines. Three approaches are included: i) Kalman filtering integration to investigate the role of...
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...
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