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Subject: Earth and Environmental Sciences

21 to 30 of 64 Results

MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets Apr 16, 2018 - GIScience / Geoinformatics Research Group Herfort, Benjamin, 2018, "MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets", https://doi.org/10.11588/data/3GYJUG, heiDATA, V1 MapSwipe is a mobile crowdsourcing application designed for smartphones and tablets to generate geographic information from satellite imagery. Data from 55 projects containing more than nine million tasks and more than 30 million individual classification results contributed by a...
Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code Dec 15, 2020 - GIScience / Geoinformatics Research Group Ludwig, Christina; Hecht, Robert; Lautenbach, Sven; Schorcht, Martin; Zipf, Alexander, 2020, "Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code", https://doi.org/10.11588/data/UYSAA5, heiDATA, V1, UNF:6:+pceldpLQoaQQqPk4/t1VQ== [fileUNF] Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data...
Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data] 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...
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation 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...
Making plant methane formation visible – insights from application of 13C-labelled dimethyl sulfoxide [Research Data] 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....
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...
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...
Institut für Umweltphysik(Heidelberg University) Sep 28, 2023
Institut für Politische Wissenschaft - AG Tosun(Universität Heidelberg) Aug 12, 2021
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...

MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets

Apr 16, 2018 - GIScience / Geoinformatics Research Group

Herfort, Benjamin, 2018, "MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets", https://doi.org/10.11588/data/3GYJUG, heiDATA, V1

MapSwipe is a mobile crowdsourcing application designed for smartphones and tablets to generate geographic information from satellite imagery. Data from 55 projects containing more than nine million tasks and more than 30 million individual classification results contributed by a...

Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code

Dec 15, 2020 - GIScience / Geoinformatics Research Group

Ludwig, Christina; Hecht, Robert; Lautenbach, Sven; Schorcht, Martin; Zipf, Alexander, 2020, "Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code", https://doi.org/10.11588/data/UYSAA5, heiDATA, V1, UNF:6:+pceldpLQoaQQqPk4/t1VQ== [fileUNF]

Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data...

Mapping physical access to healthcare for older adults in sub-Saharan Africa [Data]

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...

Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation

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...

Making plant methane formation visible – insights from application of 13C-labelled dimethyl sulfoxide [Research Data]

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....

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...

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...

Institut für Umweltphysik(Heidelberg University)

Sep 28, 2023

Institut für Politische Wissenschaft - AG Tosun(Universität Heidelberg)

Aug 12, 2021

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...

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