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Improving the extraction of crisis information in the context of flood, fire, and landslide rapid mapping using SAR and optical remote sensing data

Martinis, Sandro und Clandillon, Stephen und Twele, André und Huber, Claire und Plank, Simon und Maxant, Jérôme und Cao, Wenxi und Caspard, Mathilde und May, Stephane (2016) Improving the extraction of crisis information in the context of flood, fire, and landslide rapid mapping using SAR and optical remote sensing data. In: EGU General Assembly. EGU, 2016-04-17 - 2016-04-22, Wien, Österreich.

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Kurzfassung

Optical and radar satellite remote sensing have proven to provide essential crisis information in case of natural disasters, humanitarian relief activities and civil security issues in a growing number of cases through mechanisms such as the Copernicus Emergency Management Service (EMS) of the European Commission or the International Charter ‘Space and Major Disasters’. The aforementioned programs and initiatives make use of satellite-based rapid mapping services aimed at delivering reliable and accurate crisis information after natural hazards. Although these services are increasingly operational, they need to be continuously updated and improved through research and development (R&D) activities. The principal objective of ASAPTERRA (Advancing SAR and Optical Methods for Rapid Mapping), the ESA-funded R&D project being described here, is to improve, automate and, hence, speed-up geo-information extraction procedures in the context of natural hazards response. This is performed through the development, implementation, testing and validation of novel image processing methods using optical and Synthetic Aperture Radar (SAR) data. The methods are mainly developed based on data of the German radar satellites TerraSAR-X and TanDEM-X, the French satellite missions Pléiades-1A/1B as well as the ESA missions Sentinel-1/2 with the aim to better characterize the potential and limitations of these sensors and their synergy. The resulting algorithms and techniques are evaluated in real case applications during rapid mapping activities. The project is focussed on three types of natural hazards: floods, landslides and fires. Within this presentation an overview of the main methodological developments in each topic is given and demonstrated in selected test areas. The following developments are presented in the context of flood mapping: a fully automated Sentinel-1 based processing chain for detecting open flood surfaces, a method for the improved detection of flooded vegetation in Sentinel-1data using Entropy/Alpha decomposition, unsupervised Wishart Classification, and object-based post-classification as well as semi-automatic approaches for extracting inundated areas and flood traces in rural and urban areas from VHR and HR optical imagery using machine learning techniques. Methodological developments related to fires are the implementation of fast and robust methods for mapping burnt scars using change detection procedures using SAR (Sentinel-1, TerraSAR-X) and HR optical (e.g. SPOT, Sentinel-2) data as well as the extraction of 3D surface and volume change information from Pléiades stereo-pairs. In the context of landslides, fast and transferable change detection procedures based on SAR (TerraSAR-X) and optical (SPOT) data as well methods for extracting the extent of landslides only based on polarimetric VHR SAR (TerraSAR-X) data are presented.

elib-URL des Eintrags:https://elib.dlr.de/104418/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Improving the extraction of crisis information in the context of flood, fire, and landslide rapid mapping using SAR and optical remote sensing data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Martinis, Sandrosandro.martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361XNICHT SPEZIFIZIERT
Clandillon, StephenSERTITNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Twele, Andréandre.twele (at) dlr.dehttps://orcid.org/0000-0002-8035-2625NICHT SPEZIFIZIERT
Huber, ClaireSERTITNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Plank, Simonsimon.plank (at) dlr.dehttps://orcid.org/0000-0002-5793-052XNICHT SPEZIFIZIERT
Maxant, JérômeSERTITNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Cao, Wenxiwenxi.cao (at) dlr.dehttps://orcid.org/0000-0001-9567-3053NICHT SPEZIFIZIERT
Caspard, MathildeSERTITNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
May, StephaneCNESNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:April 2016
Erschienen in:EGU General Assembly
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:SAR, PolSAR, Flood, Landslide, Fire, Sentinel-1, TerraSAR-X
Veranstaltungstitel:EGU
Veranstaltungsort:Wien, Österreich
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:17 April 2016
Veranstaltungsende:22 April 2016
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 - Vorhaben Zivile Kriseninformation und Georisiken (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit
Hinterlegt von: Martinis, Sandro
Hinterlegt am:31 Mai 2016 08:54
Letzte Änderung:24 Apr 2024 20:09

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