Tag: MapSwipe
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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 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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Presentation and Demo Session on MapSwipe Analytics at MSF Scientific Days London
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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10 Million Contributions: It’s time for MapSwipe Analytics!
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…
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Towards evaluating the mobile crowdsourcing of geographic information about human settlements
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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DeepVGI: Deep Learning with Volunteered Geographic Information
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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MapSwipe2HOT_Tasking_Manager is OSM_Wiki “Image of the Week”
This week’s “OSM Wiki “Image of the Week”” shows two maps from our efforts to use MapSwipe data for defining and prioritising OSM Hot Tasking Manager tasks. We appreciate the recognition 🙂 The workflow and respective tools have been introduced recently and are based on the “Heidelberg Process“, that lead to the development of MapSwipe…
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Integrating MapSwipe and HOT Tasking Manager
The MapSwipe app allows you to mark buildings and roads on satellite imagery within just a few seconds by tapping on your smartphone. Thousands of volunteers contributed to MapSwipe so far and it is just incredible how big the areas are that have been scanned (also see : With one swipe or tap you put…
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HOT Summit MapSwipe and Pybossa Video Online
The presentations of this years HOT summit that was held in Brussels (September 22, 2016) were recorded and are now available in the Youtube channel of HOT, the Humanitarian OpenStreetMap Team. If you missed the summit and are interested in what we are doing, have a look at the video of the joint presentation of…