Tag: ohsome2label
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GeoAI4Water 2 Applies Deep Learning to Detect Critical Infrastructure for Disaster Planning
Context During natural disasters and other catastrophic events, quickly identifying and distributing resources is essential. Even a brief delay in evacuating residents or sourcing water can significantly hamper relief efforts and prevent effective disaster management. The HeiGIT and GIScience teams have been actively designing tools to assist in disaster preparation and response, from working with partners to build community resilience to activating our disaster…
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HeiGIT/GIScience @ State of the Map 2021
Like in 2020, this year’s State of the Map (SotM) is taking place online this week from tomorrow 2021-07-09 to 2021-07-11, starting at 12:00 (CEST) each day. This year, HeiGIT is a bronze sponsor. In addition, there are a total of 7 contributions from HeiGIT/GIScience: one academic talk by Maxwell Owusu four lightning talks and…
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Automatic building detection with ohsome2label and Tensorflow
Accurate and complete geographic data of human settlement is crucial for humanitarian aid and disaster response. OpenStreetMap (OSM) can serve as a valuable source, especially for global south countries where buildings are largely unmapped. In a previous blog, we introduced our recent work in detecting OpenStreetMap missing buildings, so this time we will show you…