21 to 30 of 50 Results
Oct 15, 2020 - GIScience / Geoinformatics Research Group
Geldsetzer, Pascal; Reinmuth, Marcel; Ouma, Paul O.; Lautenbach, Sven; Okiro, Emelda A.; Bärnighausen, Till; Zipf, Alexander, 2020, "Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]", https://doi.org/10.11588/data/RGM2AW, heiDATA, V2
This repository contains data, figures and tables created for the paper "Mapping physical access to healthcare for older adults in sub-Saharan Africa: A cross-sectional analysis with implications for the COVID-19 response", which is currently under review and available as preprin... |
Jan 18, 2024 - 3D Spatial Data Processing
Weiser, Hannah; Ulrich, Veit; Winiwarter, Lukas; Esmorís, Alberto M.; Höfle, Bernhard, 2024, "Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation", https://doi.org/10.11588/data/UUMEDI, heiDATA, V1, UNF:6:9U7BGTgjjsWd1GduT1qXjA== [fileUNF]
This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have a... |
Apr 25, 2022 - Biogeochemistry
Schroll, Moritz; Lenhart, Katharina; Greiner, Steffen; Keppler, Frank, 2022, "Making plant methane formation visible – insights from application of 13C-labelled dimethyl sulfoxide [Research Data]", https://doi.org/10.11588/data/VJFIBD, heiDATA, V1, UNF:6:1Pzn25XuesxTt+Ygdeo4vg== [fileUNF]
Methane (CH4) formation by vegetation has been studied intensively over the last 15 years. However, reported CH4 emissions vary by several orders of magnitude, thus making global estimates difficult. Moreover, the mechanism(s) for CH4 formation by plants is (are) largely unknown.... |
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... |
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... |
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... |
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... |
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... |
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... |
Jun 5, 2023 - PhD related material - Geosciences
Schneider, Marcus, 2023, "Gesteinsgebundene Gase in den Salzlagerstätten des Werra-Fulda-Kalireviers: Relevanz für die Lagerstättensicherheit und Einblick in die Bildung von Klimagasen und ozonzerstörenden Verbindungen bei Intraplattenvulkanismus [Forschungsdaten]", https://doi.org/10.11588/data/G6P9MK, heiDATA, V1, UNF:6:enOdBCCWPLeEEV7xTfiiGQ== [fileUNF]
The long mining history of the Werra-Fulda potash district is characterized by highly frequent gas-induced rocks burst during the extraction of potassium and magnesium salts. The gas was trapped by magmatic alterations of the Permian salt deposit during the Miocene Rhön volcanism... |
