UNOSAT S-1 FloodAI Monitoring Dashboard
This map illustrates AI based satellite-detected surface waters as observed from Sentinel-1 images. All statistics are computed based on WorldPop and cover only over Mozambique.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Disclaimer:
- Flood analysis from SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built-up and/or densely vegetated areas due to backscattering of the radar.
- Flood extraction was calculated using a deep learning model. Details about the model and training set can be found here:
https://www.mdpi.com/791202
- WorldPop calculation may significantly overestimate the population affected by floods in urban areas.
- Landcover data: © ESA WorldCover project 2021
- The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
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