Flood Risk Analysis through Computer Vision and Geometric Correction Approach

One of natural calamities is flooding. Research in the creation of flood forecasting models has aided in lowering risk, suggesting an appropriate course of action, minimizing fatalities, and lowering flood-related property damage. The European Space Agency (ESA) sent Sentinel-1 satellite photos that are being used to examine the flood. A variety of filtering and segmentation techniques are used to define the aquifer. This paper provides analysis for explaining flood mapping using image processing methods like calibration; Speckle filtering, binarization and geometric correction using sentinel data 1. After the image processing the output images are analyzed as before and after flood. Sentinel Application Platform can be used for flood mapping.