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Flood modeling and prediction using Earth Observation data

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/
Document Type:Article
Title:Flood modeling and prediction using Earth Observation data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schumann, GuyRSS-HyrdoUNSPECIFIEDUNSPECIFIED
Giustarini, LauraRSS-HyrdoUNSPECIFIEDUNSPECIFIED
Tarpanelli, AngelicaNational Research CouncilUNSPECIFIEDUNSPECIFIED
Jarihani, BenUniversity of the Sunshine CoastUNSPECIFIEDUNSPECIFIED
Martinis, SandroUNSPECIFIEDhttps://orcid.org/0000-0002-6400-361XUNSPECIFIED
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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