Rättich, Michaela und Martinis, Sandro und Wieland, Marc (2020) Automatic flood duration estimation based on multi-sensor satellite data. Remote Sensing, 12 (643), Seiten 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs12040643. ISSN 2072-4292.
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Offizielle URL: https://www.mdpi.com/2072-4292/12/4/643/pdf
Kurzfassung
Flood duration is a crucial parameter for disaster impact assessment as it can directly influence the degree of economic losses and damage to structures. It also provides an indication of the spatio-temporal persistence and the evolution of inundation events. Thus, it helps gain a better understanding of hydrological conditions and surface water availability and provides valuable insights for land-use planning. The objective of this work is to develop an automatic procedure to estimate flood duration and the uncertainty associated with the use of multi-temporal flood extent masks upon which the procedure is based. To ensure sufficiently high observation frequencies, data from multiple satellites, namely Sentinel-1, Sentinel-2, Landsat-8 and TerraSAR-X, are analyzed. Satellite image processing and analysis is carried out in near real-time with an integrated system of dedicated processing chains for the delineation of flood extents from the range of aforementioned sensors. The skill of the proposed method to support satellite-based emergency mapping activities is demonstrated on two cases, namely the 2019 flood in Sofala, Mozambique and the 2017 flood in Bihar, India.
elib-URL des Eintrags: | https://elib.dlr.de/134179/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Automatic flood duration estimation based on multi-sensor satellite data | ||||||||||||||||
Autoren: |
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Datum: | 2020 | ||||||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 12 | ||||||||||||||||
DOI: | 10.3390/rs12040643 | ||||||||||||||||
Seitenbereich: | Seiten 1-19 | ||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | flood monitoring; flood duration; Sentinel-1; Sentinel-2; Landsat-8; TerraSAR-X | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit | ||||||||||||||||
Hinterlegt von: | Martinis, Sandro | ||||||||||||||||
Hinterlegt am: | 16 Mär 2020 09:34 | ||||||||||||||||
Letzte Änderung: | 25 Okt 2023 08:28 |
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