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Flood Modeling and Prediction Using Earth Observation Data

Articolo
Data di Pubblicazione:
2022
Abstract:
The ability to map floods from satellites has been known for over 40 years. Early images of floods were rather difficult to obtain, and flood mapping from satellites was thus rather opportunistic and limited to only a few case studies. However, over the last decade, with a proliferation of open-access EO data, there has been much progress in the development of Earth Observation products and services tailored to various end-user needs, as well as its integration with flood modeling and prediction efforts. This article provides an overview of the use of satellite remote sensing of floods and outlines recent advances in its application for flood mapping, monitoring and its integration with flood models. Strengths and limitations are discussed throughput, and the article concludes by looking at new developments.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Earth Observation; Floods; Flood mapping; Data assimilation; Flood Modeling
Elenco autori:
Tarpanelli, Angelica
Autori di Ateneo:
TARPANELLI ANGELICA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/457513
Pubblicato in:
SURVEYS IN GEOPHYSICS
Journal
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