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 developed [...]
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Posted in Events on Jul 13th, 2017
Already one year ago that MapSwipe was officially launched!
A big thank you to our contributors for your support - one year of tapping, swiping and putting families on the map!
In just one year thousands of users contributed more than 10 million taps and thereby provided crucial information on unmapped places.
In projects like shown below settlement [...]
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Posted in Services, VGI Group on Jun 30th, 2017
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 organisations like Red Cross and Doctors without Borders (MSF) introduced earlier. In particular the data can be used for priorizing areas [...]
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Posted in Events on May 23rd, 2017
MSF Scientific Days is a conference organised by Doctors Without Borders (MSF) with a focus on research and innovation towards improving humanitarian actions. This years conference was held from May 19-20 at the Royal Society of Medicine in London and brought together more than 200 people. The presentations covered different aspects of medical treatment, but [...]
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Posted in Events on May 15th, 2017
This year AGILE celebrated its 20th birthday and conference from May 10 - 12 at Wageningen University, Netherlands. The conference organizers chose “societal geo-information” to be the main theme of the research presented. The GIScience Research Group Heidelberg was represented by its members Tessio Novack, Franz-Benjamin Mocnik and Benjamin Herfort.
On Tuesday, the day before the [...]
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Posted in Research, Services on Mar 28th, 2017
The MapSwipe App is widely used by many volunteers who donate their time and brain capacity to find buildings or roads on satellite imagery. Just recently we counted the 10,000,000th contribution! After only 6 months since MapSwipe was launched!
The outcome of these efforts are mainly used by humanitarian organisations like MSF, Netherlands Red Cross or [...]
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Posted in Events on Mar 26th, 2017
Last week saw the Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2017) at the 15th IEEE International Conference on Pervasive Computing and Communications. Here you find some impressions from the event. Alexander Zipf participated as invited panelist at the panel session of CASPer 2017. The panel discusses processing unstructured Big Data and [...]
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Posted in Events, Publications, Research on Mar 24th, 2017
Geographic information crowdsourcing is an increasingly popular approach to derive geographic data about human settlements from remotely sensed imagery. However, crowdsourcing approaches are frequently associated with uncertainty about the quality of the information produced. Although previous studies have found acceptable quality of crowdsourced information in some application domains, there is still lack of research about [...]
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Posted in Events on Mar 10th, 2017
Crowd assisted sensing and crowdsourcing, as well as their underlying pervasive systems and communications are a fast growing research area and one of the enabling technologies of smart cities and smart infrastructures, as well as important building blocks in healthcare monitoring and vehicular technologies. Crowd assisted sensing (often called participatory sensing) opens new ways for [...]
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Posted in OSM, VGI Group on Jan 26th, 2017
Deep learning techniques, esp. Convolutional Neural Networks (CNNs), are now widely studied for predictive analytics with remote sensing images, which can be further applied in different domains for ground object detection, population mapping, etc. These methods usually train predicting models with the supervision of a large set of training examples. However, finding ground truths especially [...]
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