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Monthly Archive for December, 2021

You are interested in contributing to research and development to support decision making in the field of sustainability, mobility and humanitarian aid? You want to achieve a better society and environment by improving open geoinformation and geoinformation technology? Help us to accomplish this through open geoinformation, open methods, open software and close collaboration with our [...]

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Welcome back to our blog post series How to become ohsome, where you get short and simple explanations on how you can become ohsome yourself!
This time, it’s all about our new endpoints, which enable you to track which contributions have been made with respect to a pre-defined region and time period. To explain the usage of the [...]

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While 2021 hasn’t been an easy year, we still managed to accomplish a lot! Thank you for your continued support, your contributions, and your interest in our work. The team at HeiGIT and GIScience Heidelberg wishes you and your friends and family a Merry Christmas and restful holidays!
Despite the circumstances, we hope that you get [...]

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Just a couple of days ago, on December 16th, large area of the Philippines were hit by Typhoon Rai (local name Odette). The typhoon not only caused vast destruction but also hit many of the communities that already suffered most since the outbreak of COVID-19 (also see Emergency Appeal IFRC).
In order to provide [...]

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Du willst Deine Machine Learning Kompetenz zum Wohle der Gesellschaft und Umwelt einsetzen? Du willst die Verfügbarkeit und Qualität von Geodaten verbessern und geoinformatische Methoden weiterentwickeln, die für offene, gemeinnützige Anwendungen im Bereich Nachhaltigkeit, Mobilität und humanitäre Hilfe eingesetzt werden? Das ist auch unsere Mission!
Die HeiGIT gGmbH ist ein forschungsorientiertes, gemeinnütziges Start-up mit den Zielen [...]

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Check out our new paper presenting a novel approach (correspondence-driven plane-based M3C2) to lower the uncertainty in 3D topographic change quantification (get free access here until 2 February 2022)
Zahs, V., Winiwarter, L., Anders, K., Williams, J.G., Rutzinger, M. & Höfle, B. (2022): Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS Journal [...]

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In the context of the United Nations World Data Forum 2021 organised by the United Nations Statistics Division and UN member states a series of blogposts has been published by UNSTATS. Among them is one by Alexander Zipf about improving access to healthcare facilities through geoinformation and crowdsourcing. He introduces the Open Healthcare Access Map [...]

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The 3DGeo research group is part of the AGU Fall Meeting from 13 - 17 December 2021 with the following topics and contributions:
1) Hypersurface Observation Network (Hyperon) — What it is and why we need it (Monday, 13 December 2021 16:00 - 18:00 CST)
In the terrestrial domain, large biogeochemical and energetic uncertainties surround the soil-plant-atmosphere [...]

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Under pressure from the decision of the Federal Constitutional Court in spring 2021, the German government has amended its climate targets. The new coalition also wants to stick to these and pursue the goal of greenhouse gas neutrality by 2045. Emissions are to be reduced by 65 percent by 2030 compared to 1990 (Presse- und [...]

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Einladung Vortrag Online:
Dienstag, 14. Dezember 2021, 19:15 Uhr
Melanie Eckle-Elze, Benjamin Herfort, Dr. Carolin Klonner
Digitale Geographie im Katastrophenmanagement
Klimawandel, Bevölkerungswachstum, Verstädterung und weitere zunehmende Landnutzungsveränderungen führen dazu, dass immer mehr Menschen in Risikogebieten leben. Um die vorhandenen Risiken zu verstehen und angepasste (Vorsorge-) Maßnahmen zu ergreifen, bedarf es der Zusammenführung von Expertenwissen als auch der Vor-Ort-Kenntnisse [...]

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