Martinis, Sandro and Wieland, Marc and Rättich, Michaela (2021) An automatic system for near-real time flood extent and duration mapping based on multi-sensor satellite data. In: Earth Observation for Flood Applications Elsevier. pp. 7-37. doi: 10.1016/C2019-0-00067-2. ISBN 978-0-12-819412-6.
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Official URL: https://www.sciencedirect.com/book/9780128194126/earth-observation-for-flood-applications
Abstract
This chapter presents an automatic and operational system for near real-time mapping of flood extent and duration using multi-sensor satellite data. The system is based on four processing chains for the derivation of the flood extent from Sentinel-1 and TerraSAR-X radar as well as from optical Sentinel-2 and Landsat satellite data. While the systematic acquisition of Sentinel-1 and optical data allows a continuous monitoring of inundated areas at an interval of a few days, the TerraSAR-X flood service can be activated on-demand in case of emergency situations. All processing chains contain the following generic steps: data ingestion, preprocessing of satellite data, computation and adaption of global auxiliary data, classification, and dissemination of the crisis information via web-services. Flood duration layers are generated to indicate the temporal stability and evolution of inundation events. The flood mapping system is demonstrated on a flood situation in Mozambique caused by cyclone Idai in 2019.
Item URL in elib: | https://elib.dlr.de/142595/ | ||||||||||||||||
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Document Type: | Book Section | ||||||||||||||||
Title: | An automatic system for near-real time flood extent and duration mapping based on multi-sensor satellite data | ||||||||||||||||
Authors: |
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Date: | 2021 | ||||||||||||||||
Journal or Publication Title: | Earth Observation for Flood Applications | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | No | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | No | ||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||
DOI: | 10.1016/C2019-0-00067-2 | ||||||||||||||||
Page Range: | pp. 7-37 | ||||||||||||||||
Editors: |
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Publisher: | Elsevier | ||||||||||||||||
ISBN: | 978-0-12-819412-6 | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | Flood extent, flood duration, Sentinel-1, Sentinel-2, TerraSAR-X, Landsat | ||||||||||||||||
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: | 12 Jul 2021 09:59 | ||||||||||||||||
Last Modified: | 28 Mar 2023 23:59 |
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