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Author

C. Panagiotakis

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Open access Aug 2026

Unsupervised Estimation of Post-Event Standing Urban Floodwater Depth Using Aerial Imagery and Digital Terrain Models

This study proposes a fully unsupervised, training-free framework for rapid depth estimation of standing or slowly receding residual floodwater using post-event remote sensing imagery and DTMs, and offers a scalable, rapidly deployable solution for first-order flood mapping and depth estimation.

Georgios Simantiris, Konstantinos Bacharidis, C. Panagiotakis · 0 citations

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