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Improving rapid flood impact assessment: An enhanced multi-sensor approach including a new flood mapping method based
Fabio Cian1, José Manuel Delgado Blasco1, Clara Ivanescu1
1The World Bank Group, Washington, DC, 20433, USA.
This study introduces an enhanced satellite multi-sensor approach for rapid flood mapping and impact assessment. The method improves accuracy and provides more reliable data for disaster risk management, outperforming single-sensor approaches.
Area of Science:
- Remote Sensing and Geospatial Analysis
- Disaster Risk Management
- Environmental Monitoring
Background:
- Accurate flood maps are crucial for effective disaster risk management, including emergency response and recovery planning.
- Existing rapid flood impact assessment methods require complete and precise flood mapping for reliable information.
- There is a need for improved methodologies to enhance the characterization of flood hazards.
Purpose of the Study:
- To develop and present a novel, enhanced satellite multi-sensor approach for rapid flood mapping.
- To improve the accuracy and completeness of flood maps for better disaster risk management.
- To assess flood impacts on buildings, roads, and cropland using multi-source satellite data.
Main Methods:
- Utilized a novel multi-temporal Modified Normalized Difference Water Index (MNDWI) derived from Sentinel-2 time-series data.
- Employed a thresholding technique on multi-temporal statistics to delineate temporary flooded areas for precise flood mapping.
- Integrated Sentinel-1, Sentinel-2, and PlanetScope satellite imagery within a cloud-based environment (Google Earth Engine) for rapid processing.
Main Results:
- The multi-sensor approach provided a more comprehensive flood impact assessment, estimating 57.4 million USD in damages for the 2020 South Sudan flood.
- This multi-sensor estimation was significantly higher than assessments using only Sentinel-1 (24%) or Sentinel-2 (78%) data.
- The methodology proved computationally light and robust, enabling rapid flood map derivation for large areas.
Conclusions:
- Multi-source satellite data integration is highly effective for improving flood mapping accuracy and completeness.
- The enhanced method provides superior flood impact assessment compared to single-sensor approaches.
- This approach significantly enhances disaster risk management by informing better response, recovery, and reconstruction plans.
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