Month: February 2023
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Sketch Map Tool Launch
We are excited to invite you to the official launch of the Sketch Map Tool! The Sketch Map Tool is an easy-to-use, open-source and free-of-charge tool which facilitates community mapping. You can use it to collect local spatial knowledge with pen and paper with an OpenStreetMap in the background. With the Sketch Map Tool, you…
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Cooperation between HeiGIT, the German Red Cross and the German Aerospace Center
Welche Gebäude sind nach einem Erdbeben am schwersten beschädigt? Welche Gegenden haben keinen Zugang zu Gesundheitseinrichtungen? Wie verändert sich die Routenplanung und somit die Notfallversorgung, wenn bestimmte Straßen und Brücken nicht nutzbar sind? Das Heidelberg Institute for Geoinformation Technology gGmbH (HeiGIT) arbeitet seit einigen Jahren mit dem Deutschen Roten Kreuz (DRK) und mit dem Deutschen Zentrum für…
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Disaster openrouteservice to support the current response efforts to the Türkiye/Syria earthquake
On February 6, a 7.7 magnitude earthquake struck southern Türkiye at 4:17 a.m. This is Türkiye’s most powerful earthquake recorded since 1939. The Government of Türkiye has since issued a Level 4 alarm, calling for international assistance. The quake also heavily impacted north-west Syria, a region where 4.1 million people depend on humanitarian assistance already…
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High Resolution Data Insights from OpenStreetMap Element Vectorisation
One of the contributions showcased by the HeiGIT/GeoScience team in last year’s Free and Open Source Software for Geospatial (FOSS4G) 2022 conference in Florence (Italy) was Moritz Schott, Sven Lautenbach, Leonie Großchen, and Alexander Zipf’s novel paper “OpenStreetMap Element Vectorisation: A Tool for High Resolution Data Insights and its Usability in the Land-use and Land-cover…
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Data publication: Point clouds of snow-on and snow-off forest site
A new dataset of UAV and terrestrial laser scanning point clouds of snow-on and snow-off conditions at a Black Forest site (Hundseck, 48.643°N, 8.228°E) was published open access: Winiwarter, L., Anders, K., Battuvshin, G., Menzel, L. & Höfle, B. (2023): UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of…
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Job Offer: Deep Learning Engineer (m/f/d, up to 100%)
Are you a highly motivated individual who loves designing and developing machine learning and deep learning systems? Do you want to use your machine learning expertise for the benefit of society and the environment? Do you want to improve the availability and quality of geospatial data and further develop geoinformatics methods used for open, non-profit…