Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.
The United Nations Satellite Centre (UNOSAT) in partnership with UNDP Crisis Bureau is undertaking a joint online training course on satellite imagery analysis for damage assessment.
The Indian Ocean Region (IOR) is sometimes called the “World’s Hazard Belt” as it is prone to disasters, from both natural and man-made hazards. Natural hazard under the group of Climatological (cyclones and droughts), Geological and Tectonic (earthquakes and tsunamis) and Hydrological (floods and tidal surges) origins are very frequent in the region.
In 2021, UNOSAT and NORAD signed a new cooperation framework to sustain and expand their longstanding efforts.
This e-learning course was created as part of the Earth Observation for Sustainable Development: Fragility, Conflict and Security project funded by the European Space Agency and aims to give a short but practical introduction to Geospatial Infomation Technology (GIT) in states affected by fragility, with a focus on remote sensing.
NOTE- How to access the course:
This e-learning course was created as part of the Earth Observation for Sustainable Development: Fragility, Conflict and Security project funded by the European Space Agency and aims to give a short but practical introduction to Geospatial Infomation Technology (GIT) in states affected by fragility, with a focus on remote sensing.
NOTE- How to access the course: