Next Article in Journal
Nowcasting Surface Solar Irradiance with AMESIS via Motion Vector Fields of MSG-SEVIRI Data
Next Article in Special Issue
Internal Solitary Waves in the Andaman Sea: New Insights from SAR Imagery
Previous Article in Journal
Radar Target Recognition Using Salient Keypoint Descriptors and Multitask Sparse Representation
Previous Article in Special Issue
Combining TerraSAR-X and Landsat Images for Emergency Response in Urban Environments
Open AccessArticle

Staring Spotlight TerraSAR-X SAR Interferometry for Identification and Monitoring of Small-Scale Landslide Deformation

School of Engineering Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 844; https://doi.org/10.3390/rs10060844
Received: 1 May 2018 / Revised: 14 May 2018 / Accepted: 23 May 2018 / Published: 28 May 2018
(This article belongs to the Special Issue Ten Years of TerraSAR-X—Scientific Results)
We discuss enhanced processing methods for high resolution Synthetic Aperture Radar
(SAR) interferometry (InSAR) to monitor small landslides with difficult spatial characteristics,
such as very steep and rugged terrain, strong spatially heterogeneous surface motion,
and coherence-compromising factors, including vegetation and seasonal snow cover. The enhanced
methods mitigate phase bias induced by atmospheric effects, as well as topographic phase errors
in coherent regions of layover, and due to inaccurate blending of high resolution discontinuous
with lower resolution background Digital Surface Models (DSM). We demonstrate the proposed
methods using TerraSAR-X (TSX) Staring Spotlight InSAR data for three test sites reflecting diverse
challenging landslide-prone mountain terrains in British Columbia, Canada. Comparisons with
corresponding standard processing methods show significant improvements with resulting
displacement residuals that reveal additional movement hotspots and unprecedented spatial detail
for active landslides/rockfalls at the investigated sites.

View Full-Text
Keywords: TSX Staring spotlight; high resolution InSAR; small-scale movements; atmospheric phase; layover; DSM blending TSX Staring spotlight; high resolution InSAR; small-scale movements; atmospheric phase; layover; DSM blending
Show Figures

Figure 1

MDPI and ACS Style

Hosseini, F.; Pichierri, M.; Eppler, J.; Rabus, B. Staring Spotlight TerraSAR-X SAR Interferometry for Identification and Monitoring of Small-Scale Landslide Deformation. Remote Sens. 2018, 10, 844.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop