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Office
Bettina Knorr
Im Neuenheimer Feld 368
Room 108, 1. OG
69120 Heidelberg
knorr@uni-heidelberg.de
Tel: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
 
Address
Heidelberg Institute for Geoinformation Technology
Berliner Str. 45 (Mathematikon)
D-69120 Heidelberg
 
Funded by
KTS - Klaus Tschira Stiftung gemeinnützige GmbH
 

Disaster Mapping and Management

Support of Humanitarian Activities for Disaster Management by means of Innovative Technologies and Services

User-generated geodata originating from OpenStreetMap or Social Media in combination with official geographical information from public administrations has become an important asset for disaster management purposes. Processing and aggregating these different kind of data sources enables humanitarian aid organisations and emergeny responders to obtain a comprehensive view of the specific catastrophe on site. Furthermore this aggregated data has great value to help determine the risks and potential impact in regards to the aftermath of such an event. To utilize the potential of this information we develop innovative services based on close collaboration woth relevant stakeholders and users.

Services

  • Development and deployment of Disaster Maps and services to support disaster management teams and humanitarian operations
  • Development of tools and services for monitoring and quality assurance of Volunteered Geographic Information
  • Improving Collaboration of volunteers and professional humanitarian organisations by providing innovative tools and services

Cooperations and Partners

Selected References GIScience Heidelberg


Further Projects - Publications - PhD Thesis

Further Information

News
24.05.2018 23:40
BuFaTa Mapathon HD – Spreading the Word about OpenStreetMap and Missing Maps

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 [...]

25.04.2018 15:48
Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists

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 [...]

02.04.2018 19:43
Towards Using the Potential of OpenStreetMap History for Disaster Activation Monitoring

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 [...]

28.03.2018 09:59
Workshop with Wikimedia on Disaster Management: Connecting Humanitarian Actors, Research and Digital Volunteer Communities

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 [...]

21.03.2018 10:52
FOSSGIS.de Talk on Near Real Time OSM Data Extraction Service for Openrouteservice

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 [...]

07.03.2018 15:19
Openrouteservice for Disaster Management: Supporting Humanitarian Logistics with Hourly Updates

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 [...]

07.02.2018 08:38
Abteilung Geoinformatik: Studentische Hilfskräfte GIS gesucht (auch Praktika)

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 [...]

23.01.2018 09:42
Open Position: Software Developer Geoinformation Technology
, Heidelberg

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 [...]

12.01.2018 15:00
New Real-time OSM service provides custom up-to-date Extracts of OpenStreetMap Data

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 [...]

10.01.2018 18:11
Deep Learning with Satellite Images and Volunteered Geographic Information

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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Latest Revision: 2017-09-26
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