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 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.

The increasing number and intensity of natural disasters in the past few years have had severe consequences in terms of human lives that were impacted, but also in terms of structural damage and economic losses. In years to come, extreme events will no longer be exceptions.

The Volta River basin, with a population of over 24 million shared between six countries, is highly vulnerable to meteorological and hydrological hazards. Over the past two decades, almost two million people have been affected by floods.

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: