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High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks

High-resolution flood monitoring can be achieved relying on multi-temporal analysis of remote sensing SAR data, through the implementation of semi-automated systems. Exploiting a Bayesian inference framework, conditioned probabilities can be estimated for the presence of floodwater at each image loc...

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Автори: Rosa Colacicco, Alberto Refice, Raffaele Nutricato, Fabio Bovenga, Giacomo Caporusso, Annarita D’Addabbo, Marco La Salandra, Francesco Paolo Lovergine, Davide Oscar Nitti, Domenico Capolongo
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2024-01-01
Серія:Remote Sensing
Предмети:
flood monitoring
flood mapping
remote sensing
satellite imagery
Sentinel-1
Bayesian framework
Онлайн доступ:https://www.mdpi.com/2072-4292/16/2/294
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