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Landslide monitoring using multi-temporal SAR interferometry with advanced persistent scatterers identification methods and super high-spatial resolution terraSAR-X Images

Author
Zhao, F.; Mallorqui, J.J.; Iglesias, R.; Gili, J.; Corominas, J.
Type of activity
Journal article
Journal
Remote sensing
Date of publication
2018-06-01
Volume
10
Number
6
First page
921-1
Last page
921-23
DOI
https://doi.org/10.3390/rs10060921 Open in new window
Repository
http://hdl.handle.net/2117/120374 Open in new window
URL
http://www.mdpi.com/2072-4292/10/6/921 Open in new window
Abstract
Landslides are one of the most common and dangerous threats in the world that generate considerable damage and economic losses. An efficient landslide monitoring tool is the Differential Synthetic Aperture Radar Interferometry (DInSAR) or Persistent Scatter Interferometry (PSI). However, landslides are usually located in mountainous areas and the area of interest can be partially or even heavily vegetated. The inherent temporal decorrelation that dramatically reduces the number of Persistent Sca...
Citation
Zhao, F., Mallorqui, J.J., Iglesias, R., Gili, J., Corominas, J. Landslide monitoring using multi-temporal SAR interferometry with advanced persistent scatterers identification methods and super high-spatial resolution terraSAR-X Images. "Remote sensing", 1 Juny 2018, vol. 10, núm. 6, p. 921-1-921-23.
Keywords
DInSAR, Landslide monitoring, Measurement pixels’ density, PSI, Pixel selection, Super high-spatial resolution, TerraSAR-X images
Group of research
EGEO - Geomatics Engineering
EnGeoModels - Monitoring and Modelling in Engineering Geology
RSLAB - Remote Sensing Lab

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