An Integrated Framework for Actionable Flood Warnings on Road Structures Using High Resolution Satellite Imagery DOI Creative Commons
Zhouyayan Li, Bekir Zahit Demiray, Marian Muste

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 17, 2024

Floods rank among the most devastating natural hazards globally. Unlike many other calamities, floods typically occur in densely populated regions, resulting immediate and long-term adverse impacts on communities, including fatalities, injuries, health risks, significant economic environmental losses annually. Traditional flood models, while useful, are constrained by simplifying assumptions, numerical approximations, a lack of sufficient data for accurate simulations. Recent advancements data-efficient Digital Elevation Model (DEM) Terrain (DTM) based models show promise overcoming some these limitations. However, models' reliance DEM or DTM renders them sensitive to dynamic nature Earth's surface. This study investigates effectiveness remote sensing imagery inundation mapping, focusing role high-resolution commercial optical PlanetScope images data-limited scenarios. To address early-stage reflectance issues attributed on-board calibration constellations, we introduced novel post-processing workflow, Quantile-based Filling Refining (QFR). Our results indicate that initial extent maps produced using widely adopted Normalized Difference Water Index (NDWI) were inferior manual delineations comparable those generated only Near-Infrared (NIR) band, which also suffers from flaws. NIR band processed with QFR significantly outperformed delineations. research demonstrates potential precise particularly at smaller scales, such as urban areas. Additionally, it underscores workflow's enhancing prediction accuracy, offering streamlined scalable method improving modeling outcomes.

Language: Английский

An Integrated Framework for Actionable Flood Warnings on Road Structures Using High Resolution Satellite Imagery DOI Creative Commons
Zhouyayan Li, Bekir Zahit Demiray, Marian Muste

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 17, 2024

Floods rank among the most devastating natural hazards globally. Unlike many other calamities, floods typically occur in densely populated regions, resulting immediate and long-term adverse impacts on communities, including fatalities, injuries, health risks, significant economic environmental losses annually. Traditional flood models, while useful, are constrained by simplifying assumptions, numerical approximations, a lack of sufficient data for accurate simulations. Recent advancements data-efficient Digital Elevation Model (DEM) Terrain (DTM) based models show promise overcoming some these limitations. However, models' reliance DEM or DTM renders them sensitive to dynamic nature Earth's surface. This study investigates effectiveness remote sensing imagery inundation mapping, focusing role high-resolution commercial optical PlanetScope images data-limited scenarios. To address early-stage reflectance issues attributed on-board calibration constellations, we introduced novel post-processing workflow, Quantile-based Filling Refining (QFR). Our results indicate that initial extent maps produced using widely adopted Normalized Difference Water Index (NDWI) were inferior manual delineations comparable those generated only Near-Infrared (NIR) band, which also suffers from flaws. NIR band processed with QFR significantly outperformed delineations. research demonstrates potential precise particularly at smaller scales, such as urban areas. Additionally, it underscores workflow's enhancing prediction accuracy, offering streamlined scalable method improving modeling outcomes.

Language: Английский

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