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Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

Plank, Simon and Twele, André and Martinis, Sandro (2016) Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data. Remote Sensing, 8, pp. 1-20. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs8040307 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/8/4/307

Abstract

Mapping of landslides, quickly providing information about the extent of the affected area and type and grade of damage, is crucial to enable fast crisis response, i.e., to support rescue and humanitarian operations. Most synthetic aperture radar (SAR) data-based landslide detection approaches reported in the literature use change detection techniques, requiring very high resolution (VHR) SAR imagery acquired shortly before the landslide event, which is commonly not available. Modern VHR SAR missions, e.g., Radarsat-2, TerraSAR-X, or COSMO-SkyMed, do not systematically cover the entire world, due to limitations in onboard disk space and downlink transmission rates. Here, we present a fast and transferable procedure for mapping of landslides, based on change detection between pre-event optical imagery and the polarimetric entropy derived from post-event VHR polarimetric SAR data. Pre-event information is derived from high resolution optical imagery of Landsat-8 or Sentinel-2, which are freely available and systematically acquired over the entire Earth’s landmass. The landslide mapping is refined by slope information from a digital elevation model generated from bi-static TanDEM-X imagery. The methodology was successfully applied to two landslide events of different characteristics: A rotational slide near Charleston, West Virginia, USA and a mining waste earthflow near Bolshaya Talda, Russia.

Item URL in elib:https://elib.dlr.de/103801/
Document Type:Article
Title:Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Plank, Simonsimon.plank (at) dlr.deUNSPECIFIED
Twele, Andréandre.twele (at) dlr.deUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.deUNSPECIFIED
Date:6 April 2016
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:8
DOI :10.3390/rs8040307
Page Range:pp. 1-20
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:landslide; change detection; SAR polarimetry; PolSAR; object-based image analysis; OBIA; TanDEM-X
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: Plank, Simon Manuel
Deposited On:19 Apr 2016 08:05
Last Modified:21 Nov 2019 05:04

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