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

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 5 of 5 Results
Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data]
Apr 17, 2023
Knoblauch, Steffen; Li, Hao; Lautenbach, Sven; Elshiaty, Yara; Rocha, Antônio A. de A.; Resch, Bernd; Arifi, Dorian; Jänisch, Thomas; Ivonne Morales; Zipf, Alexander, 2023, "Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegpyti [Research Data]", https://doi.org/10.11588/data/7LLXFP, heiDATA, V1
WATER TANK DETECTION MODEL OF JOURNAL PAPER (Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti) The disease transmitting mosquito Aedes Aegypti is an increasing global threat. It breeds in small artificial...
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
Oct 12, 2021
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...
Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Mapping Public Urban Green Spaces based on OpenStreetMap and Sentinel-2 imagery using Belief Functions: Data and Source Code
Dec 15, 2020
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
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...
MapSwipe: global dataset of crowdsourced classifications on human settlements and reference datasets
Apr 16, 2018
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...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.