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Code, Trained Models and Result Files for Probabilistic GRU-Based Post-War Urban Damage Screening from Sentinel-1 InSAR Coherence in Khartoum, Omdurman and Bahri

Nagi Eltieb (26140194)
Figshare · Datasets · License: CC BY 4.0
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This item contains the code, trained models and summary results supporting a study on post-war urban damage screening in Khartoum, Omdurman and Bahri (Sudan). The study learns normal coherence behavior from pre-war Sentinel-1 data (2020-2021) with a Probabilistic GRU and flags deviation
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