Am 16. und 17. August öffnet das Auswärtige Amt in Berlin die Tore für die Öffentlichkeit. An diesen Tagen kann nicht nur das Auswärtige Amt selbst besichtigt werden, verschiedene Diplomaten, Vertreter verschiedener Ministerien, Einrichtungen und Organisationen werden vor Ort sein, … Read More
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Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning
Our new paper on Machine Learning and Humanitarian Mapping Nowadays, Machine Learning and Deep Learning approaches are steadily gaining popularity within the humanitarian (mapping) community. New tools such as the ML Enabler or the rapId editor might change the way … Read More
Disaster Risk Reduction, OpenStreetMap and Missing Maps at Global Platform 2019
Global Platform 2019 in Geneva Creating maps helps humanity. Drawing maps together with communities is crucial for effective risk reduction interventions, ensuring no one is left behind. The progress of the implementation of the targets set by the Sendai … Read More
HeiGIT/GIScience at Global Platform for Disaster Risk Reduction and Multi Hazard Early Warning Conference
Middle of May, Geneva becomes the gathering place for citizens, political leaders, government institutions, private sector, civil society, and scientific and technical institutions, that all jointly work towards a big objective – to manage disaster risk. In line with the … Read More
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 … Read More
Empower Humanitarian Mapping with Deep Neural Networks to Detect Human Settlements
Recently, earth observation by satellites has shown great capability in supporting a range of challenges such as disaster assessment, agriculture monitoring, and humanitarian mapping. MapSwipe, as a humanitarian mapping app, provides a crowdsourcing platform to collect volunteered geographical information (VGI), … Read More
Put the world’s most vulnerable people on the map with MapSwipe
Humanitarian organizations can’t help people if they can’t find them. This was the simple reason to create MapSwipe back in 2016 and it is still as pressing as in the very beginning. In the last 2,5 years volunteers have contributed … Read More
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 … Read More
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 … Read More
MapSwipe Analytics: Map each Swipe and Tap
Since the launch of the MapSwipe Analytics webpage three month ago we were able to improve our service and offer more detailed information on each project in MapSwipe. MapSwipe is a mobile App for crowdsourcing geographic information needed by humanitarian … Read More