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Flood Inundation Mapping with ML Techniques by gokul thakare is a document available to read on EtoBox.
1) The document presents a study that develops a hybrid machine learning model using Sentinel-1 microwave data to map flood inundation and estimate floodwater depth in the Kosi River basin in India. 2) The hybrid model combines binarization techniques and random forest and K-nearest neighbor classifiers to automatically map flooded and non-flooded areas with an accuracy of 0.9% to 19% compared to published results. 3) A floodwater depth analysis model is also developed using the inundation maps and a digit
- Author
- gokul thakare
- Language
- EN