Tag: humanitarian
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GeOnG Conference 2018: Workshop Materials and Slides
After the successful GeOnG conference 2018 in chambery we want to thank the organizers and all participants. We contributed in several ways, as already highlighed in our previous blogpost. Now, we also want to share our slides and workshop material with everyone interested. Round table discussion: Machine Learning, AI & satellite imagery: what impact on…
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HeiGIT at Sustainable Development in Action
HeiGIT ran a workshop on geodata for sustainable development at the Sustainable Development in Action conference organized by the Heidelberg Center for Environment and Momentum Novum at Heidelberg University. Our workshop provided an overview about the importance of geodata to tackle the sustainable development goals (SDG) of the United Nations, highlighted the importance of bridging…
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Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping
Our paper about Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping is available online now. 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…
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Mamapa goes Ludwigshafen – join us today
Heute Abend stellen Robert Danziger (Mamapa) und Melanie Eckle (disastermappers heidelberg/ HeiGIT) in Ludwigshafen das Mamapa Projekt vor. Zudem erläutern sie die Potenziale von OpenStreetMap (OSM) und illustrieren, wie OSM eingesetzt und wie zu OSM beigetragen werden kann. Donnerstag, 20. September 2018, 18.00 Uhr Zentralbibliothek Schulungsraum Weitere Informationen hier und unter 0621 504-3533, der Eintritt ist frei. Wer…
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Missing Maps Gathering, FOSS4G and HOT Summit 2018 in Dar es Salaam
As previously announced, Sabrina Marx and Melanie Eckle recently visited Dar es Salaam to attend the Missing Maps Members Gathering and to join the FOSS4G and HOT Summit community for their joint annual gatherings. The Missing Maps Members Gathering was the first side event of the conference week. Likewise to previous years, the Missing Maps…
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Keynote on VGI and AI for Disaster Management by Prof. Zipf at 10 Years HAUS New York
Heidelberg Alumni USA (HAUS) is the alumni initiative for all former students, lecturers, professors or staff of Heidelberg University who live or work in the US. HAUS was born in New York City, and that’s where we will celebrate the tenth anniversary the weekend of September 14-16, 2018. We hope you will be there for…
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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 solve humanitarian mapping tasks of a mobile software named MapSwipe. The current deep learning techniques…
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BuFaTa Mapathon HD – Spreading the Word about OpenStreetMap and Missing Maps
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…
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Enhancing Crowdsourced Classification on Human Settlements Utilizing Logistic Regression Aggregation and Intrinsic Context Factors
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 Geoinformation Technology , Heidelberg
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…
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Deep Learning with Satellite Images and Volunteered Geographic Information
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…