Category: Research
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Introducing ohsome2label tool to generate training samples from OpenStreetMap for geospatial deep learning
After more than a decade of rapid development of volunteered geographic information (VGI), VGI has already become one of the most important research topics in the GIScience community. Almost in the meantime, we have witnessed the ever-fast growth of geospatial deep learning technologies to develop smart GIServices and to address remote sensing tasks, for instance,…
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Quiet route planning for pedestrians in traffic noise polluted environments
#Noise #pollution is one of the main stressors in urban environments, having negative impacts on people’s quality of life and health. For some groups of citizens, such as school children, patients, and elders, there is a need to support them in finding pedestrian routes in noise polluted areas of cities. In a new paper, we…
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Disaggregating surface change mechanisms of a rock glacier
How can multiple processes related to the deformation of an active rock glacier operating over different timescales be separated from each other? A preprint on the disaggregation of surface change mechanisms of a rock glacier has recently been published on Earth Surface Dynamics Discussions, an interactive open access journal of the European Geosciences Union. It…
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Wo mehr Grün wirklich helfen könnte: Interview mit Kathrin Foshag
Welchen Einfluss haben steigende Temperaturen und die zunehmende Zahl heißer Tage auf Städte, insbesondere auf die Hitzebelastung öffentlicher Plätze? Mit dieser Frage beschäftigte sich das Dissertationsprojekt von Dr. Kathrin Foshag an der Heidelberg School of Education. Nachdem die Ergebnisse kürzlich unter dem Titel “Viability of public spaces in cities under increasing heat: A transdisciplinary approach”…
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How to become ohsome part 6: Introducing the magical filter parameter
We are back again with a fresh part of the How to become ohsome blog series. In case this 6th part of the series is your first one, or you have not heard from our awesome OpenStreetMap History Data Analytics Platform before (short form: ohsome platform), don’t worry. We’ve added some context, as well as…
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Einführung in OpenStreetMap und humanitäres Mapping bei der AGIT 2020
HeiGIT unterstützt Workshops zu OpenStreetMap und humanitärem Mapping auf der AGIT 2020 In dieser Woche findet die jährliche AGIT-Konferenz und das parallele GI Forum statt. Während die Konferenz bereits seit mehr als 30 Jahren erfolgreich Vertreter aus Wissenschaft, angewandter Forschung und Wirtschaft nach Salzburg brachte, musste aufgrund der Corona Situation zum ersten Mal auf eine…
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Kick off of the 25 Mapathon project
We are proud to announce the successful Kickoff of the 25 Mapathons project. On June, 22th a joint team of HeiGIT and the German Red Cross (GRC) carried out the first mapathon of the 25 Mapathons series. The mapathon was conducted with the local GRC groups from Witten and Lünen, which is part of the…
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A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks
Multi-sensor remote sensing image classification has been considerably improved by deep learning feature extraction and classification networks. In this recent paper, we propose a novel multi-sensor fusion framework (CResNet-AUX) for the fusion of diverse remote sensing data sources. The novelty of this paper is grounded in three important design innovations: A unique adaptation of the…
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Transdisciplinary study on climate change adaptation featured in Heidelberg University Newsroom
No place for climate change: A recent transdisciplinary study on the viability of public spaces in cities under increasing heat was featured in the official Heidelberg University Newsroom (English version here). The study has been conducted by a Heidelberg research team led by Dr. Kathrin Foshag and investigated the heat stress in selected urban squares…
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Humanitarian OpenStreetMap Team has been selected by the Audacious Project
The Humanitarian OpenStreetMap Team (HOT) has announced major financial support from the Audacious Project, which will be provided over the next five years. HOT aims to use this funding to grow OpenStreetMap (OSM) communities in 94 countries. By engaging one million volunteers the goal is to map an area home to one billion people living…
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Exploring OSM for healthcare access analysis in Sub-Saharan Africa
[tl;dr] Using hospital locations and the ORS Isochrone service, we have created a method for comparing physical access to healthcare in Sub-Saharan Africa. Hospital locations were derived from OpenStreetMap and compared against another free available dataset. Results indicate strong similarity in both hospital datasets, however the uncertainty of our method requires further evaluation. Figure 1…
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Going green with MeinGrün – Today App launch in Heidelberg and Dresden
Today the time has come: The “meinGrün” web app for Dresden and Heidelberg is officially launched. With the mobile application you can (re-)discover known and unknown green spaces and find a pleasant route to those. Users can learn about the functions of the app via virtual scavenger hunt. The app is the result of the…