Flooding is a natural disaster that often occurs and has a significant impact on society and the environment.This can result in economic loss, infrastructure damage, disruption to daily life, and even loss of life.To mitigate the negative impacts of flooding, an in-depth understanding of the potential for flooding in an area is very important.One effective approach is to use spatial modeling to create flood vulnerability models, based on topographic data such as slope maps and contour maps.ALOS PALSAR DEM data, with a spatial resolution of 12.5 meters, offers important advantages in creating slope maps and contour maps for flood potential analysis.As a synthetic aperture radar technology, ALOS PALSAR collects topographic data with high accuracy and wide coverage, even in adverse weather conditions or areas with high cloud cover.Its ability to penetrate clouds makes ALOS PALSAR data more reliable and consistent than optical data, which may be limited by weather conditions.Slope maps show varying degrees of terrain steepness across the study area.Contour lines are successfully created, illustrating elevation changes in the landscape.GIS analysis highlights areas with high slope values and the potential to become flood-prone zones.DEM-derived maps serve as valuable tools for flood vulnerability modeling and risk assessment.Integration of DEM imagery with GIS techniques has proven effective in creating accurate and detailed slope and contour maps.These maps provide important information for identifying flood-prone areas and formulating effective disaster management strategies.This study underscores the importance of terrain analysis in flood vulnerability assessment and emphasizes the usefulness of DEM-derived data for spatial modeling.
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Nizar et al. (2024) studied this question.
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