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Tag Archive 'humanitarian'

Last weekend Heidelberg was the host city of this semesters geography “BuFaTa” (Bundesfachschaftentagung). During this four day event student associations from Germany, Austria and Switzerland and their members came together to discuss, learn and spend time together. The event was organized by an excellent student team from Heidelberg.
The disastermappers Heidelberg contributed to the BuFaTa by organising a Missing [...]

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Among semi-automated methods and pre-processed data products, crowdsourcing is another tool which can help to collect information on human settlements and complement existing data, yet it’s accuracy is debated. Whereas the potential of crowdsourced datasets for training of machine learning algorithms has been explored recently, only few work has been done towards utilizing machine learning [...]

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Open Position:
Software Developer (Web) Geoinformation Technology
 (OSM)
Heidelberg Institute for Geoinformation Technology (HeiGIT) and GIScience Research Group
In the context of research projects at HeiGIT and the GIScience Research Group we offer the position of a Software Developer Geoinformation Technology in Heidelberg (full-time or part-time).
Depending on your experience the tasks are related to at least one of [...]

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Recently, deep learning has been widely applied in pattern recognition with satellite images. Deep learning techniques like Convolutional Neural Network and Deep Belief Network have shown outstanding performance in detecting ground objects like buildings and roads, and the learnt deep features are further applied in some prediction tasks like poverty and population mapping. On the [...]

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Happy Birthday MapSwipe!

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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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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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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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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Keynote at GEOINFO 2016 Brazil

This week Alexander Zipf was giving an invited keynote presentation at the 18th Geoinfo Conference in Campos do Jordão, São Paulo, Brazil.
The GEOINFO conferences aim to bring together leading GIScience and spatial database researchers, to present to the local community a perspective of the state-of-the-art in the area. Past speakers have included Max [...]

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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 [...]

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