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Burn scar detection using polarimetric ALOS-2 data

Plank, Simon and Karg, Susanne and Martinis, Sandro (2018) Burn scar detection using polarimetric ALOS-2 data. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22.-27. Jul. 2018, Valencia, Spanien.

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Fire is both a natural disturbance regime and a threat to infrastructure, forestry and human lives. Satellite remote sensing offers a fast and efficient way to reliably estimate the burnt area. In most cases, optical satellite data are used for burn scar detection. Nevertheless, smoke, clouds or rain can decrease the quality of classification. In these cases, SAR data can be a good alternative. Using quad-polarized SAR data, the backscatter can be decomposed into different scattering mechanisms, describing the scatterer more precisely. Here, we will present the possibilities and limitations of using quad-polarimetric ALOS-2 data for burnt area mapping using an object-based image analysis approach based on change-detection. As a case study the big fire event which affected Fort McMurray, Alberta, Canada in May/June 2016 was investigated.

Item URL in elib:https://elib.dlr.de/121238/
Document Type:Conference or Workshop Item (Poster)
Title:Burn scar detection using polarimetric ALOS-2 data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Plank, Simonsimon.plank (at) dlr.deUNSPECIFIED
Karg, Susannesusanne.karg (at) dlr.deUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.deUNSPECIFIED
Date:25 July 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:ALOS-2, SAR polarimetry, burn scar, change detection
Event Title:2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Valencia, Spanien
Event Type:international Conference
Event Dates:22.-27. Jul. 2018
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Plank, Simon Manuel
Deposited On:01 Aug 2018 13:54
Last Modified:01 Aug 2018 13:54

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