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Flood & Damage Assessment$39

Flood Damage Assessment

Flood Damage Assessment framed as a research-led flood & damage assessment study.

Category

Flood & Damage Assessment

Format

PDF Report

Delivery

Digital download after purchase

Price

$39

Summary

Flood events constitute one of the most destructive natural hazards worldwide, yet rapid and accurate assessment of flood extent and building-level damage remains a significant challenge, particularly in data-sparse regions and across diverse geographic and climatic contexts. This study presents a systematic, reproducible framework for satellite-based flood damage assessment that leverages Sentinel-1 C-band Synthetic Aperture Radar (SAR) change detection and OpenStreetMap (OSM) building footprints to quantify both inundation extent and structural exposure across six major flood events spanning four continents: Emilia Romagna, Italy (May 2023); Derna, Libya (September 2023); Thessaly, Greece (September 2023); Sindh, Pakistan (August–September 2022); Porto Alegre, Brazil (May 2024); and Vermont, USA (July 2023).

What the report covers

Flood events constitute one of the most destructive natural hazards worldwide, yet rapid and accurate assessment of flood extent and building-level damage remains a significant challenge, particularly in data-sparse regions and across diverse geographic and climatic contexts.
This study presents a systematic, reproducible framework for satellite-based flood damage assessment that leverages Sentinel-1 C-band Synthetic Aperture Radar (SAR) change detection and OpenStreetMap (OSM) building footprints to quantify both inundation extent and structural exposure across six major flood events spanning four continents: Emilia Romagna, Italy (May 2023); Derna, Libya (September 2023); Thessaly, Greece (September 2023); Sindh, Pakistan (August–September 2022); Porto Alegre, Brazil (May 2024); and Vermont, USA (July 2023).
The methodology employs calibrated backscatter differencing on Ground Range Detected (GRD) imagery, Lee speckle filtering with a 7 × 7 kernel, Otsu automatic thresholding on ∆σdB maps, and permanent water masking derived from Sentinel Normalized Difference Water Index (NDWI) and Modified NDWI composites.

Why it matters

Rapid geospatial flood assessment helps organizations understand disruption, triage response, and scope follow-on recovery or underwriting work.

Intended sectors and users

InsuranceDisaster resilienceGovernmentInfrastructure

Methodology framing

The report is framed around Sentinel-1, SAR, change detection, using the methods described in the source abstract and paper title.

Preview figures

Fig01 preview from flood damage assessment sar change detection
Fig01 preview from flood damage assessment sar change detection
Fig02 preview from flood damage assessment sar change detection
Fig02 preview from flood damage assessment sar change detection

Applications and use cases

Post-event damage screening
Resilience planning
Hazard intelligence

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