scholarly journals Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors—Italian Alps (Corvara)

2018 ◽  
Vol 10 (3) ◽  
pp. 409 ◽  
Author(s):  
Mehdi Darvishi ◽  
Romy Schlögel ◽  
Lorenzo Bruzzone ◽  
Giovanni Cuozzo
2019 ◽  
Vol 11 (3) ◽  
pp. 369 ◽  
Author(s):  
Donato Amitrano ◽  
Raffaella Guida ◽  
Domenico Dell’Aglio ◽  
Gerardo Di Martino ◽  
Diego Di Martire ◽  
...  

Kinematic characterization of a landslide at large, small, and detailed scale is today still rare and challenging, especially for long periods, due to the difficulty in implementing demanding ground surveys with adequate spatiotemporal coverage. In this work, the suitability of space-borne synthetic aperture radar sub-pixel offset tracking for the long-term monitoring of the Slumgullion landslide in Colorado (US) is investigated. This landslide is classified as a debris slide and has so far been monitored through ground surveys and, more recently, airborne remote sensing, while satellite images are scarcely exploited. The peculiarity of this landslide is that it is subject to displacements of several meters per year. Therefore, it cannot be monitored with traditional synthetic aperture radar differential interferometry, as this technique has limitations related to the loss of interferometric coherence and to the maximum observable displacement gradient/rate. In order to overcome these limitations, space-borne synthetic aperture radar sub-pixel offset tracking is applied to pairs of images acquired with a time span of one year between August 2011 and August 2013. The obtained results are compared with those available in the literature, both at landslide scale, retrieved through field surveys, and at point scale, using airborne synthetic aperture radar imaging and GPS. The comparison showed full congruence with the past literature. A consistency check covering the full observation period is also implemented to confirm the reliability of the technique, which results in a cheap and effective methodology for the long-term monitoring of large landslide-induced movements.


2014 ◽  
Vol 63 ◽  
pp. 96-105 ◽  
Author(s):  
Simone Frigerio ◽  
Luca Schenato ◽  
Giulia Bossi ◽  
Marco Cavalli ◽  
Matteo Mantovani ◽  
...  

Author(s):  
P. Lal ◽  
D. S. Vaka ◽  
Y. S. Rao

<p><strong>Abstract.</strong> Glaciers are melting at an alarming rate due to global warming. Two major glaciers of India viz. Gangotri and the Siachen are chosen for the velocity mapping. The line-of-sight (LOS) velocity fields are derived using X-band TerraSAR-X and C-band Sentinel-1A datasets. An intensity-based offset tracking method is used to generate LOS velocities of the glaciers. The single look complex (SLC) images of the TerraSAR-X are converted into intensity before applying the offset tracking method, whereas the ground range detected (GRD) products from Sentinel-1A are directly used to estimate the glacier velocities. The Siachen glacier velocity is mapped using three X-band images from 2011 to 2017 and a C-band image between 2017 and 2018. The X-band images in the case of Siachen are available with the long-time interval between the master and slave images. The velocity of the glacier is observed to be around 30&amp;ndash;40<span class="thinspace"></span>cm<span class="thinspace"></span>day<sup>&amp;minus;1</sup> from X-band and around 45&amp;ndash;50<span class="thinspace"></span>cm day<sup>&amp;minus;1</sup> from C-band. Three X-band images in the year 2012 and a C-band image in the year 2018 are used for the Gangotri glacier velocity estimation. These images are very closely separated in time, and the velocity of the glacier is found to be 15&amp;ndash;20<span class="thinspace"></span>cm<span class="thinspace"></span>day<sup>&amp;minus;1</sup>. A dataset with a temporal gap of approximately three years is also used for the Gangotri glacier velocity estimation and observed a large difference in velocity (&amp;sim;10<span class="thinspace"></span>cm<span class="thinspace"></span>day<sup>&amp;minus;1</sup>) from that of shorter interval data. Therefore, for a slow-moving glacier like Gangotri, a dataset with a high temporal gap may not give a reliable result. It is also observed that X-band TerraSAR-X results are more accurate than the C-band Sentinel-1A results. The penetration depth of X-band is less compared to C-band, which might result in accurate estimation of glacier surface flow. According to the results, the velocity of the Siachen glacier is increasing at a very high rate.</p>


2018 ◽  
Vol 10 (7) ◽  
pp. 1055 ◽  
Author(s):  
Depin Ou ◽  
Kun Tan ◽  
Qian Du ◽  
Yu Chen ◽  
Jianwei Ding

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 118787-118798
Author(s):  
Jilei Huang ◽  
Yang Bai ◽  
Shaogang Lei ◽  
Kazhong Deng

Sign in / Sign up

Export Citation Format

Share Document