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Tag Archive 'disaster'

Last weekend Heidelberg was the host city of this semesters geography “BuFaTa” (Bundesfachschaftentagung). During this four day event student associations from Germany, Austria and Switzerland and their members came together to discuss, learn and spend time together. The event was organized by an excellent student team from Heidelberg.
The disastermappers Heidelberg contributed to the BuFaTa by organising a Missing [...]

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Modeling the geographic distribution of tourists at a tourist destination is crucial when it comes to enhancing the destination’s resilience to disasters and crises, as it enables the efficient allocation of limited resources to precise geographic locations. Seldom have existing studies explored the geographic distribution of tourists through understanding the mechanisms behind it. A recently [...]

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Over the last years, the growing OpenStreetMap (OSM) database repeatedly proved its potential for various use cases, including disaster management. Disaster mapping activations show increasing contributions, but oftentimes raise questions related to the quality of the provided Volunteered Geographic Information (VGI).
In order to better monitor and understand OSM mapping and data quality, HeiGIT developed a [...]

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Over the last couple of years a new group of actors has become increasingly important to support disaster management - digital volunteers. They support disaster responses and humanitarian activities from all over the world. Crowdsourced Wikipedia articles are oftentimes the first source of information people read to learn more about a disaster. Likewise, the OpenStreetMap [...]

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Are you at the FOSSGIS.de conference in Bonn this week? Don’t miss the lightning talk by Stefan Eberlein on OpenStreetMap Extracts as a Service in near “Real-Time”.
Date: 22.03., 9:4 am.
Room: Alfred-Philippson-Hörsaal
Lightning Talk: OpenStreetMap-Extrakte als Service in nahezu “Real-Time”
Track: Freie Daten
The Real-time OSM data extraction service provides individual OSM extracts in near real-time. The software was [...]

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The Humanitarian OpenStreetMap Team (HOT) provides immediate support for disaster or humanitarian responses by coordinating and activating a global network of mappers that contribute up-to-date geodata to the OSM database. For example, after the Nepal earthquake 2015 volunteers added up to 800 km to the OSM street network per hour! This information could successfully support [...]

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Die Abteilung Geoinformatik sucht Studentische Hilfskräfte zur Unterstützung in mehreren hoch aktuellen Forschungsbereichen in einem interdisziplinären dynamischen Team, u.a. z.B. für:

Big Spatial Data Analytics z.B. OpenStreetMap History Analysen, Social Media Analytics etc. z.B.  http://ohsome.org
Landnutzungsklassifikation auf Basis von OpenStreetMap, Satellitenbildern, etc. z.B. http://OSMlanduse.org

Disaster-Management für [...]

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Open Position:
Software Developer (Web) Geoinformation Technology
 (OSM)
Heidelberg Institute for Geoinformation Technology (HeiGIT) and GIScience Research Group
In the context of research projects at HeiGIT and the GIScience Research Group we offer the position of a Software Developer Geoinformation Technology in Heidelberg (full-time or part-time).
Depending on your experience the tasks are related to at least one of [...]

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Disaster events damage human infrastructure and its surroundings within seconds. To support humanitarian logistics, the Disaster OpenRouteService needs the latest, most accurate data available. While crowd-sourcing OSM updates during disasters proved very successful, there is not yet a convenient way of automatically accessing up-to-date OSM data for specific regions of interest. Addressing this need, HeiGIT [...]

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Recently, deep learning has been widely applied in pattern recognition with satellite images. Deep learning techniques like Convolutional Neural Network and Deep Belief Network have shown outstanding performance in detecting ground objects like buildings and roads, and the learnt deep features are further applied in some prediction tasks like poverty and population mapping. On the [...]

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