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Adaptive Residual-Informed Deep Transfer Learning for Accurate Flood Depth Estimation Using Spatiotemporal Feature Learning

2026-02-09

Abstract excerpt

<title>Abstract</title> <p>Prediction of the depth of floods is crucial in minimizing the devastating impact of floods on human settlement, structures and environment based on timely risk assessment and competent management of the calamity. Despite all these advances, many models face issues in an accurate pixel based flood depth estimation, particularly in the urban and coastal complexes and there is need to dev...

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Literature Corpus work
3f664c46-f19a-57b5-80eb-42ea83e04b1d
DOI
10.21203/rs.3.rs-8713985/v1
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Adaptive Residual-Informed Deep Transfer Learning for Accurate Flood Depth Estimation Using Spatiotemporal Feature LearningDOI 10.21203/rs.3.rs-8713985/v1
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