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The effect of vegetation type and density on X-band SAR backscatter after forest fires

Bernhard, Eva-Maria and Twele, André and Martinis, Sandro (2014) The effect of vegetation type and density on X-band SAR backscatter after forest fires. Photogrammetrie, Fernerkundung, Geoinformation, 4/2014, pp. 275-285. E. Schweizerbartsche Verlagsbuchhandlung. ISSN 1432-8364

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Official URL: http://www.schweizerbart.de/journals/pfg


Various frequencies (e.g. visible light, infrared, microwaves) from remote sensing sensors can be used for active fire mapping, forest fire detection and fire emission assessment. However, little is known about the applicability of X-band SAR data for burned area detection. This paper presents a detailed SAR backscatter coefficient analysis and accuracy assessment with respect to CORINE 2006 land cover data. For this purpose five forest fires have been analyzed. Dry as well as wet acquisition conditions have been taken into account. The analysis demonstrated that largest differences in backscatter coefficients between pre- and post-fire conditions were linked to tall and dense vegetation types. Contrarily, scant vegetation was marked by lowest signal differences. High correlation coefficients have been obtained from regression analysis between vegetation indices and SAR backscatter changes. Moreover, a burned area classification algorithm with different thresholds for each vegetation type has been applied. The classification result illustrated that areas abundantly covered with vegetation showed classification accuracies of ~91 %, whereas sparse vegetation achieved ~5 % accuracies.

Item URL in elib:https://elib.dlr.de/90096/
Document Type:Article
Title:The effect of vegetation type and density on X-band SAR backscatter after forest fires
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bernhard, Eva-MariaEva-Maria.Bernhard (at) dlr.deUNSPECIFIED
Twele, Andréandre.twele (at) dlr.deUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.deUNSPECIFIED
Date:August 2014
Journal or Publication Title:Photogrammetrie, Fernerkundung, Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 275-285
Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und, Geoinformationmail@schweizerbart.de
Publisher:E. Schweizerbartsche Verlagsbuchhandlung
Keywords:forest fire, TerraSAR-X, backscatter analysis, change detection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Fuchs, Eva-Maria
Deposited On:07 Aug 2014 10:49
Last Modified:06 Sep 2019 15:29

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