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Automatic near-real time flood extent and duration mapping based on multi-sensor Earth Observation data

Martinis, Sandro and Wieland, Marc and Rättich, Michaela and Böhnke, Christian and Riedlinger, Torsten (2020) Automatic near-real time flood extent and duration mapping based on multi-sensor Earth Observation data. In: IEEE International Geoscience and Remote Sensing Sypmposium 2020, pp. 3243-3246. International Geoscience and Remote Sensing Symposium (IGARSS), 26. Sep. - 02. Okt. 2020, Hawaii, USA.

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Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9324295

Abstract

In order to support disaster management activities related to flood situations, an automatic system for near-real time mapping of flood extent and duration using multi-sensor satellite data is developed. The system is based on four fully automatic processing chains for the derivation of the inundation extent from Sentinel-1 and TerraSAR-X radar as well as from optical Sentinel-2 and Landsat data. While the systematic acquisition plan of the Sentinel-1/2 and Landsat satellites allows a continuous monitoring of inundated areas at an interval of a few days, the TerraSAR-X processing chain has to be triggered on-demand over the disaster-affected areas. Beside flood extent masks, flood duration products are generated to indicate the temporal stability and evolution of flood events. The flood monitoring system is demonstrated on a severe flood situation in Mozambique related to cyclone Idai in 2019.

Item URL in elib:https://elib.dlr.de/136400/
Document Type:Conference or Workshop Item (Speech)
Title:Automatic near-real time flood extent and duration mapping based on multi-sensor Earth Observation data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Martinis, Sandrosandro.martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361X
Wieland, MarcMarc.Wieland (at) dlr.deUNSPECIFIED
Rättich, Michaelamichaela.raettich (at) dlr.deUNSPECIFIED
Böhnke, ChristianChristian.Boehnke (at) dlr.deUNSPECIFIED
Riedlinger, TorstenTorsten.Riedlinger (at) dlr.deUNSPECIFIED
Date:2020
Journal or Publication Title:IEEE International Geoscience and Remote Sensing Sypmposium 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 3243-3246
Status:Published
Keywords:Flood extent, flood duration, Sentinel-1, Sentinel-2, TerraSAR-X, Landsat, CNN
Event Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Hawaii, USA
Event Type:international Conference
Event Dates:26. Sep. - 02. Okt. 2020
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:19 Nov 2020 11:22
Last Modified:01 Mar 2021 13:27

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