Learn how to perform a flood impact assessment using Google Earth Engine (GEE) in this stepbystep tutorial. Gain valuable insights into the extent and impact of a flood event on factors like land cover, cropland, builtup areas, and population by analyzing satellite imagery and data. This tutorial specifically utilizes Sentinel1 imagery, known for its allweather and dayandnight imaging capabilities.

Discover why Sentinel1 is preferred for flood analysis, including its weather independence, high temporal resolution, dual polarization capabilities, and global coverage. Follow the provided code divided into two chapters to prepare for the flood impact assessment. In the first chapter, define the region of interest (ROI) using the FAO/GAUL dataset and select relevant datasets. Next, calculate the flood extent and visualize it on the map.

Performing flood extent analysis involves applying a speckle filter to enhance flood signals, setting a threshold to classify flooded and nonflooded areas, and masking out permanent water bodies and areas with steep slopes. Remove isolated pixels caused by noise or errors to refine the flood extent. Visualize the flood extent on the map and calculate the flood area.

By following this tutorial, you'll establish a strong foundation for conducting a comprehensive flood impact assessment. Gain insights into flood extent and severity for effective disaster management, risk assessment, and mitigation planning. Stay tuned for the next video tutorial and blog post, where we'll explore damage assessment and the visualization of flood impact results.

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