In March 2019 Cyclone Idai led to devastating flooding in Mozambique, and affected more than one million people.
With Sentinel-1 radar, high temporal and spatial resolution radar data are available for the first time free of charge. This offers a unique potential to monitor and assess flooding dynamics at high temporal scale. You will develop a system to monitor flood dynamics using Sentinel-1 data in Google Earth Engine and assess the dynamics of the 2019 Mozambique flood. You may also integrate optical Sentinel-2 data and validate your results with Planet labs data.
- Assess the potential of dense Sentinel-1 data to map flood dynamics
- Develop a system to map floodings using Sentinel-1 data in Google Earth Engine
- E.g. Shen et al., 2019 Near-real-time non-obstructed flood inundation mapping using synthetic aperture radar
- Advanced Earth Observation
Theme(s): Sensing & measuring, Integrated Land Monitoring