Satellite interferometry for mapping surface deformation time series in one, two and three dimensions: A new method illustrated on a slow-moving landslide

Самсонов, С. В.; Dille, Antoine; Dewitte, Olivier; Kervyn, F.; d’Oreye, Nicolas

doi:10.1016/j.enggeo.2019.105471

Cited by 82 publications

(56 citation statements)

References 58 publications

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“…This assumption is also used in the theoretical modelling of mining subsidence displacement fields [56]. Moreover, a similar solution is used in gravity-driven phenomena such as landslides or ice velocity, where the first derivative of the land surface elevation is utilised [57,58]. The proposed method is entirely based on the interpretation of InSAR LOS movements.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

et al. 2021

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Horizontal strains related to mining-induced subsidence may endanger infrastructure and surface users’ safety. While directional horizontal strains should be well determined, appropriate solutions for a complete assessment of the terrain surface deformation field are still required. As a result, the presented study examined a new method for calculating horizontal strain tensor based on the decomposition of satellite radar interferometry (InSAR) observations into vertical and azimuth look direction (ALD) displacements. Based on a geometric integral model, we tested our method on experimental data before applying it to an underground copper ore mine in Poland. In the case study, the displacement field was determined using the Multi-Temporal InSAR method on Sentinel-1 data. The model data relative error did not exceed 0.02 at σ = ±0.003. For the case study, land subsidence of up to −167 mm and ALD displacements ranging from −110 mm to +62 mm was obtained, whereas the extreme values of horizontal strains ranged from −0.52 mm/m to +0.36 mm/m at σ = ±0.050 mm/m. Our results demonstrate the high accuracy of the method in determining the horizontal strain tensor. As a result, the approach can broaden the assessment of the environmental impact of land subsidence worldwide.

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Section: Introductionmentioning

confidence: 99%

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

et al. 2021

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“…To derive reliable results, optical images acquired during larger solar angles should be prioritized to minimize the influence of mountain shadows. Fortunately, there are algorithms that have been developed to restore information in mountain shadows in optical images (Shahtahmassebi et al, 2013), which may promote the efficacy of optical image correlation methods.…”

Section: Comparison Of Image Matching and Insar Methodsmentioning

confidence: 99%

Detecting precursors of an imminent landslide along the Jinsha River

Yang

Liu

Shi

2020

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides are major hazards that may pose serious threats to mountain communities. Even landslides in remote mountains could have non-negligible impacts on populous regions by blocking large rivers and forming dam-breached mega floods. Usually, there are slope deformations before major landslides occur, and detecting precursors such as slope movement before major landslides is important for preventing possible disasters. In this work, we applied multi-temporal optical remote sensing images (Landsat 7 and Sentinel-2) and an image correlation method to detect subpixel slope deformations of a slope near the town of Mindu in the Tibet Autonomous Region. This slope is located on the right bank of the Jinsha River, ∼80 km downstream from the famous Baige landslide. We used a DEM-derived aspect to restrain background noise in image correlation results. We found the slope remained stable from November 2015 to November 2018 and moved significantly from November 2018. We used more data to analyse slope movement in 2019 and found retrogressive slope movements with increasingly large deformations near the riverbank. We also analysed spatial–temporal patterns of the slope deformation from October 2018 to February 2020 and found seasonal variations in slope deformations. Only the foot of the slope moved in dry seasons, whereas the entire slope was activated in rainy seasons. Until 24 August 2019, the size of the slope with displacements larger than 3 m was similar to that of the Baige landslide. However, the river width at the foot of this slope is much narrower than the river width at the foot of the Baige landslide. We speculate it may continue to slide down and threaten the Jinsha River. Further modelling works should be carried out to check if the imminent landslide could dam the Jinsha River and measures should be taken to mitigate possible dam breach flood disasters. This work illustrates the potential of using optical remote sensing to monitor slope deformations over remote mountain regions.

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“…The original MSBAS methodology, developed for DInSAR data, combines multiple data sets acquired at different times and in various observational geometries. The 2D (east and vertical) method was described in (Samsonov andd'Oreye, 2012, 2017) and the surface-parallel-flow constrained 3D (north, east, vertical) method in (Samsonov, 2019;Samsonov et al, 2020). The novel unconstrained 3D method presented here uses both range and azimuth measurements for computing 3D displacements.…”

Section: Data and Modelmentioning

confidence: 99%

Measuring the state and temporal evolution of glaciers using SAR-derived 3D time series of glacier surface flow

Samsonov¹,

Tiampo²,

Cassotto³

2020

Preprint

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Abstract. The direction and intensity of glacier surface flow adjust in response to a warming climate, causing sea level rise, seasonal flooding and droughts, changing landscapes and habitats. However, until recently no single technique could consistently measure the evolution of surface flow for an entire glaciated region in three-dimensions with high temporal and spatial resolutions. We have developed such a technique and use it to map, in unprecedented detail, the temporal evolution of five glaciers in southeastern Alaska (Agassiz, Seward, Malaspina, Klutlan and Walsh) during 2016–2020. We observe seasonal and interannual variations and the maximum horizontal and vertical flow velocity in excess of 1000 and 200 m/year, respectfully. We also observe culminating phases of surging at Klutlan and Walsh glaciers and confirm that Agassiz, Seward and Malaspina glaciers continue to adjust to a warming climate. On a broader scale, this technique can be used for reconstructing the response of worldwide glaciers to the warming climate using nearly 30 years of archived SAR data and for near real-time monitoring of these glaciers using rapid revisit SAR data from satellites, such as Sentinel-1 (6 days revisit period) and forthcoming NISAR (12 days revisit period).

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Satellite interferometry for mapping surface deformation time series in one, two and three dimensions: A new method illustrated on a slow-moving landslide

Cited by 82 publications

References 58 publications

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

Detecting precursors of an imminent landslide along the Jinsha River

Measuring the state and temporal evolution of glaciers using SAR-derived 3D time series of glacier surface flow

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