A Robust SAR Speckle Tracking Workflow for Measuring and Interpreting the 3D Surface Displacement of Landslides

Remote Sensing

Jeanine Engelbrecht¹  Davide Donati²  Mirko Francioni³  John Clague⁴  Doug Stead⁴  Bernhard Rabus⁵ 

[1] BGC Engineering, Vancouver, BC V6Z 0C8, Canada;Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Alma Mater Studiorum—Università di Bologna, 40136 Bologna, Italy;Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino Carlo Bo, 61029 Urbino, Italy;Earth Sciences Department, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;School of Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;

关键词: SAR;    speckle tracking;    airborne laser scanning;    GIS;    landslides;    Fels landslide;   

DOI  :  10.3390/rs13153048

来源: DOAJ

【 摘 要 】

We present a workflow for investigating large, slow-moving landslides which combines the synthetic aperture radar (SAR) technique, GIS post-processing, and airborne laser scanning (ALS), and apply it to Fels landslide in Alaska, US. First, we exploit a speckle tracking (ST) approach to derive the easting, northing, and vertical components of the displacement vectors across the rock slope for two five-year windows, 2010–2015 and 2015–2020. Then, we perform post-processing in a GIS environment to derive displacement magnitude, trend, and plunge maps of the landslide area. Finally, we compare the ST-derived displacement data with structural lineament maps and profiles extracted from the ALS dataset. Relying on remotely sensed data, we estimate that the thickness of the slide mass is more than 100 m and displacements occur through a combination of slumping at the toe and planar sliding in the central and upper slope. Our approach provides information and interpretations that can assist in optimizing and planning fieldwork activities and site investigations at landslides in remote locations.

【 授权许可】

Unknown