Search results for: “Missing Maps”
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OpenStreetMap and Mapsurfer.NET help to search for missing people
We know many examples when VGI data (e.g., OpenStreetMap, Wikimapia, etc.) help to cope with effects of various humanitarian disasters all over the world. The reason of using open crowd-sourced data is clear. The geographic data are available for free. If, for some reason, data are missing for a specific region, it is not a…
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London – Washington D.C. – Jakarta – San Francisco – Heidelberg?! MissingMaps Project
Putting the world’s most vulnerable people on a map and thereby reduce the vulnerability of disaster prone regions before they can even cause serious harm – that is the objective of the MissingMaps Project. A great idea put together by Doctors Without Borders (MSF), British and American Red Cross and the Humanitarian OpenStreetMap team (HOT).…
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Improving OpenStreetMap missing building detection using few-shot transfer learning in sub- Saharan Africa
OpenStreetMap (OSM) has been intensively used to support humanitarian aid activities, especially in the Global South. Its data availability in the Global South has been greatly improved via recent humanitarian mapping campaigns. However, large rural areas are still incompletely mapped. The timely provision of map data is often essential for the work of humanitarian actors…
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FOSS4G 2021 Videos with HeiGIT contributions online – OSM data quality and MapSwipe
Recently videos with our contributions by HeiGIT to the FOSS4G conference were put online. Did you miss the event? Now you can watch whenever you like đ Benni by HeiGIT explains who to use the ohsome.org framework to develop an OSM Confidence Index to support humanitarian mapping https://www.youtube.com/watch?v=DWkISL4qbME FOSS4G 2021 Using the ohsome framework to…
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MapSwipe is App of the Day in Apple AppStore
MapSwipe has ben announced as ‘App of the Day‘ in the Apple AppStore! (27.08.2021) Thank you to all our volunteers for the continued help and support which keeps the app going. Read the blogpost here: https://apps.apple.com/ca/story/id1559236909 The team at the Heidelberg Institute for Geoinformation Technology (HeiGIT) and the GIScience Research Group at Heidelberg University has shaped MapSwipeâs…
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OSM Missing Areas Identification paper is featured in August by ISPRS Journal of Photogrammetry and Remote Sensing
We are pleased that our article has been selected by the editors of ISPRS Journal of Photogrammetry and Remote Sensing as the featured Article in August 2020. This means it will be available open access for 1 year. Get your copy here and enjoy a nice summer reading: Li, H., B. Herfort, W. Huang, M. Zia,…
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Openrouteservice Maps â Alternative routes, roundtrips and more âŚ
While naturally all of our features are already accessible via the openrouteservice API, we have now made some of the newer routing features accessible in our Maps Client on maps.openrouteservice.org. Alternative routes We all know that getting second opinions or suggestions for things can give you a better sense of security and allow for a…
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MapSwipe wins Global Mobile Award for the Best Mobile Innovation Supporting Emergency or Humanitarian Situations
This week, at the prestigious GSMA MWC series (formally known as Mobile World Congress)Â MapSwipe was awarded the top prize in the Global Mobile Awardsâ category for the Best Mobile Innovation Supporting Emergency or Humanitarian Situations. The award recognizes how mobile connectivity can provide a lifeline in major humanitarian disasters, providing access to critical information and…
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MapSwipe 2.0: Reimagining how a mobile app can support humanitarian response worldwide
In 2015, MapSwipe began as a solution to a complex question: how do we better identify where communities and populations are, allowing mapping to be more efficient and effective? Using a simple mobile app, volunteers are able to swipe through a series of satellite images, tapping in areas where they find features. MapSwipe can be…
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Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks
Recently a new paper about Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks (DNNs) has been presented at the AGILE GIScience conference 2019 in Cyprus. Although built-up areas cover only a small proportion of the earth’s surface, these areas are closely tied to most of the world’s population and the economic output, which makes…
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MapSwipe for Change Detection Analysis
The Humanitarian OpenStreetMap Team (HOT) , the Heidelberg Institute of Geoinformation Technology (HeiGIT) , and the wider MapSwipe Community started working on an MapSwipe extension to monitor changes in satellite imagery. The goal of the two-month project is to extend the app with new functionalities that would allow the users to compare two satellite images…