Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking

Sun, Luyi; Müller, Jan-Peter; Chen, Jinsong

doi:10.3390/rs9121314

Cited by 20 publications

(19 citation statements)

References 41 publications

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“…they can be applied also in presence of vegetation) if compared with DInSAR. This is due to the lack of the phase information, which also allows for avoiding unwrapping procedures, often leading to the failure of DInSAR because of the low density of valid pixels [37].…”

Section: Discussionmentioning

confidence: 99%

Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking

Amitrano

Guida

Dell'Aglio³

et al. 2019

Remote Sensing

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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.

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Section: Discussionmentioning

confidence: 99%

Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking

Amitrano

Guida

Dell'Aglio³

et al. 2019

Remote Sensing

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“…Although, earthquake of MW >8 occurred at the depth below 200 km which does not conclude Tsunami eventually. In future work, subsidence and upliftment of earth's surface due to earthquake generated Tsunami using SAR offset tracking (Lal et al, 2018;Sun et al, 2017) or interferometry approach (Fornaro and Pascazio, 2014;Massonnet et al, 1993) may be considered for better understanding of deformation occurred during 2004 earthquake and Tsunami.…”

Section: Resultsmentioning

confidence: 99%

SPATIO-TEMPORAL EVALUATION OF LONG-TERM EARTHQUAKE EVENTS AND ITS CONTRIBUTION IN GENESIS OF TSUNAMI IN THE INDIAN OCEAN

Khan

Kumar

Lal

2019

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. A very high magnitude earthquake (9.1 MW) triggered a devastating Tsunami in the Indian Ocean on 26th December 2004. The epicentre was located at 3.3° N, 95.8° E with a focal depth of ~30 km. The impacts of Tsunami were felt as far away in Somalia, Tanzania and Kenya along the east coast of Africa. Considering the role of earthquake, in the present study the spatio-temporal analysis of long term (1901 to 2019) earthquake events was performed, which recorded by USGS to understand the genesis of Tsunami (2004) in the Indian Ocean. The study exhibited that the maximum frequency of earthquake was observed between the ranges of 4 MW to 6 MW on the Richter scale during 2001–2010. There was only one earthquake event > 8 MW on the Richter scale (26th December 2004 having depth 30 km) in the Indian Ocean recorded during 1901–2019. The study exhibited that the maximum earthquake was observed between 30–40 km below the surface, and primarily of moderate to low magnitudes. The proximity analysis along the major fault line indicates that the maximum earthquakes were in the buffer of 200 km from fault line in Bay of Bengal. The decadal variation of earthquake exhibits that the maximum number of earthquake events (8427 events) were triggered during the year 2001–2010, whereas during the year 2004, the total 902 earthquake events > 4 MW was recorded. The study indicates that the earthquakes > 7 MW (on Richter scale) and depth below 30 km (shallow earthquake) are primarily responsible to major Tsunami events in the Indian Ocean. The very high magnitude (> 9 MW on the Richter scale) and shallow depth (~30 km) are the major cause of 2004 Tsunami and its high level of damage. There were very low frequency (10–15 events) of earthquake occurred having magnitude > 7 and depth < 30 km.

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“…OT methods, using a pair of SAR images, can detect movements of several meters with a good degree of approximation [31]. The accuracy of the estimated displacements depends on many factors including the resolution of input images, the magnitude of real displacements, the acquisition geometry and the correlation coefficient between the considered image patches [58]. These parameters are interconnected.…”

Section: Discussionmentioning

confidence: 99%

Glacier Monitoring Using Frequency Domain Offset Tracking Applied to Sentinel-1 Images: A Product Performance Comparison

Amitrano

Guida

Martino³

et al. 2019

Remote Sensing

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The Sentinel-1 mission has now reached its maturity, and is acquiring high-quality images with a high revisit time, allowing for effective continuous monitoring of our rapidly changing planet. The purpose of this work is to assess the performance of the different synthetic aperture radar products made available by the European Space Agency through the Sentinels Data Hub against glacier displacement monitoring with offset tracking methodology. In particular, four classes of products have been tested: the medium resolution ground range detected, the high-resolution ground range detected, acquired in both interferometric wide and extra-wide swath, and the single look complex. The first are detected pre-processed images with about 40, 25, and 10-m pixel spacing, respectively. The last category, the most commonly adopted for the application at issue, represents the standard coherent synthetic aperture radar product, delivered in unprocessed focused complex format with pixel spacing ranging from 14 to 20 m in azimuth and from approximately 2 to 6 m in range, depending on the acquisition area and mode. Tests have been performed on data acquired over four glaciers, i.e., the Petermann Glacier, the Nioghalvfjerdsfjorden, the Jackobshavn Isbræ and the Thwaites Glacier. They revealed that the displacements estimated using interferometric wide swath single look complex and high-resolution ground range detected products are fully comparable, even at computational level. As a result, considering the differences in memory consumption and pre-processing requirements presented by these two kinds of product, detected formats should be preferred for facing the application.

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Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking

Cited by 20 publications

References 41 publications

Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking

Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking

SPATIO-TEMPORAL EVALUATION OF LONG-TERM EARTHQUAKE EVENTS AND ITS CONTRIBUTION IN GENESIS OF TSUNAMI IN THE INDIAN OCEAN

Glacier Monitoring Using Frequency Domain Offset Tracking Applied to Sentinel-1 Images: A Product Performance Comparison

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