Schumann, Guy and Giustarini, Laura and Tarpanelli, Angelica and Jarihani, Ben and Martinis, Sandro (2022) Flood modeling and prediction using Earth Observation data. Surveys in Geophysics, pp. 1-26. Springer. doi: 10.1007/s10712-022-09751-y. ISSN 0169-3298.
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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 limita- tions are discussed throughput, and the article concludes by looking at new developments.
Item URL in elib: | https://elib.dlr.de/194168/ | ||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||
Title: | Flood modeling and prediction using Earth Observation data | ||||||||||||||||||||||||
Authors: |
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Date: | 15 December 2022 | ||||||||||||||||||||||||
Journal or Publication Title: | Surveys in Geophysics | ||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||
DOI: | 10.1007/s10712-022-09751-y | ||||||||||||||||||||||||
Page Range: | pp. 1-26 | ||||||||||||||||||||||||
Publisher: | Springer | ||||||||||||||||||||||||
ISSN: | 0169-3298 | ||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||
Keywords: | Floods, Flood mapping, Data assimilation, Flood modeling | ||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||
DLR - Research theme (Project): | R - Remote Sensing and Geo Research | ||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Geo Risks and Civil Security | ||||||||||||||||||||||||
Deposited By: | Martinis, Sandro | ||||||||||||||||||||||||
Deposited On: | 13 Mar 2023 09:38 | ||||||||||||||||||||||||
Last Modified: | 19 Oct 2023 15:12 |
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