Search results for: “humanitarian”
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HeiGIT and German Red Cross representation at DLR Humanitarian Technology Days 2019
Last week, Michael Schultz (GIScience Research Group) attended the Humanitarian Technology Days 2019 that was organized by the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt, DLR) as a representative of the GIScience Research Group/ HeiGIT and of our collaboration with German Red Cross. For two days, around 80 scientists, humanitarian actors and funding…
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The potential of OSM for landuse, health and humanitarian applications
Recently, Michael Schulz from GIScience Heidelberg gave a talk at the colloquium of Prof. Carl Baierkuhnlein at the University of Bayreuth. During his talk he presented the results on OpenStreetMap usage targeting humanitarian applications, healthy and green routing based on openrouteservice and ecological analysis or the global climate protection map. OSM is harnessed for an abundance…
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Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping
Our paper about Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping is available online now. Satellite images are widely applied in humanitarian mapping which labels buildings, roads and so on for humanitarian aid and economic development. However, the labeling now is mostly done by volunteers. In a recently accepted study, we utilize deep…
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Making sense of humanitarian geospatial data- Reassessing current approaches to improve the impact on humanitarian interventions
Last week, Benjamin Herfort and Melanie Eckle of the HeiGIT team were invited to the MSF office in London to join a workshop around “Making sense of humanitarian geospatial data: assessing data, methods and governance practices to improve the impact of humanitarian interventions on health and wellbeing”, organized by the Centre for Interdisciplinary Methodologies, University…
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Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping
Satellite images are widely applied in humanitarian mapping which labels buildings, roads and so on for humanitarian aid and economic development. However, the labeling now is mostly done by volunteers. In a recently accepted study, we utilize deep learning to solve humanitarian mapping tasks of a mobile software named MapSwipe. The current deep learning techniques…
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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…
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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…
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disastermappers heidelberg/GIScience support for MAnnheimer MAPAthons (MAMAPA)- Integration and humanitarian contribution
The first mapathon in the MAMAPA framework was held on January 23, 2018 at the Abendakademie in the city center of Mannheim. Project organizer Robert Danziger, Board member at CartONG and member of the disastermappers heidelberg, presented the project in several different locations in Mannheim in the weeks leading to the event. Immigrant language and…
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HeiGIT/GIScience Heidelberg partnership with Humanitarian OpenStreetMap Team (HOT)
We are happy to hereby announce the official partnership of the HeiGIT/GIScience Research Group Heidelberg and the Humanitarian OpenStreetMap Team (HOT)! The GIScience Research Group at Heidelberg University has been supporting the use of OpenStreetMap for humanitarian and disaster management purposes already since 2008 when the first instance of the Disaster and Emergency OpenRouteService was…
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New Disaster OpenRouteService for Africa, South America and Indonesia released, supporting humanitarian logistics with OSM more sustainably
Recently HeiGIT @ GIScience Heidelberg released a dedicated stable disaster version of OpenRouteService (ORS) to support humanitarian logistics within specific regions of catastrophes with data from OSM in a more sustainable way. Since his start in 2008 OpenRouteServivce had been spontaneously applied for specific real world disaster cases already numerous times, for instance during the earthquakes in…
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GIScience Research Group support for Humanitarian OpenStreetMap team Fundraising Campaign
One main focus of the GIScience Research Group is the research and education with respect to advancing methods, technologies and applications of Volunteered Geographic Information – in particular OpenStreetMap – for applications from logistics to humanitarian aid. In this vein, the group has been also been supporting the work of the Humanitarian OpenStreetMap (HOT) team…
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The Tasks of the Crowd: A Typology of Tasks in Geographic Information Crowdsourcing and a Case Study in Humanitarian Mapping
In the past few years, volunteers have produced geographic information of different kinds, using a variety of different crowdsourcing platforms, within a broad range of contexts. However, there is still a lack of clarity about the specific types of tasks that volunteers can perform for deriving geographic information from remotely sensed imagery, and how the…