Persistent Scatterer Interferometry Using Sentinel-1 Data

Crosetto, M.; Monserrat, O.; Devanthéry, N.; Cuevas-González, M.; Barra, Anna; Crippa, B.

doi:10.5194/isprsarchives-xli-b7-835-2016

Cited by 16 publications

(7 citation statements)

References 10 publications

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“…Interferometry (Crosetto et al, 2016;Ferretti et al, 2001) would allow to derive slow surface motion precisely, but the processing load is much more significant, and special attention has to be paid to the long-lasting snow-cover and the atmospheric stratification at high altitudes (Barboux et al, 2015;Osmanoğlu et al, 2016).…”

Section: Dependencies Related To Moving Area Inventoriesmentioning

confidence: 99%

Incorporating kinematic attributes into rock glacier inventories exploiting InSAR data: preliminary results in eleven regions worldwide

Bertone

Barboux

Bodin

et al. 2022

Preprint

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Abstract. The dependence of rock glaciers on permafrost and thus their sensitivity to climatic parameters makes the spatial distribution of these landforms very important for hydrological and climate changes reasons. Inventories of rock glaciers have been produced for decades worldwide, often without an assessment of their kinematics; the availability of remote sensing data makes the inclusion of kinematic information potentially feasible, but the absence of a common methodology makes it challenging to create homogeneous inventories. In this context, the IPA Action Group on rock glacier inventories and kinematics (2018–2023), with the support of the ESA Permafrost_CCI project, is promoting the definition of standard guidelines for the inclusion of kinematic information within inventories. Here, we test the feasibility of applying common rules proposed by the Action Group in eleven regions worldwide. Satellite interferometry is used to characterize identifiable areas with slope movements related to rock glaciers; subsequently, these areas are used to assign kinematic information to rock glaciers in existing or newly compiled inventories. More than 5,000 slope movements and more than 3,600 rock glaciers are classified according to their kinematics. The analyzes conducted on the method and on the preliminary results show small irregularities related to the detection capacity of interferometry and to lack of rock glaciers without detectable movements in some regions investigated. This is the first internationally coordinated effort of rock glacier inventories. We demonstrate the feasibility of applying common rules to implement kinematic attributes within inventories at a global scale, despite the various regions and intensive manual effort.

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Section: Dependencies Related To Moving Area Inventoriesmentioning

confidence: 99%

Incorporating kinematic attributes into rock glacier inventories exploiting InSAR data: preliminary results in eleven regions worldwide

Bertone

Barboux

Bodin

et al. 2022

Preprint

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“…It is efficient in urban areas where stable and permanent scatterers (PS) are abundant. It is a cost-effective technique to extract information from a complex multiplication of two or more radar phase images acquired in the same area but at different times, which makes up an interferometric pair (Crosetto et al, 2016;Navarro-Sanchez et al, 2014). Among numerous applications of InSAR techniques are subsidence monitoring (Ruiz-Constán et al, 2018) and landslide monitoring in urban areas (Dai et al, 2016).…”

Section: Permanent Scatterer Interferometric Synthetic Aperture Radar (Ps-insar)mentioning

confidence: 99%

Monitoring of the ground deformation in Penang Island, Malaysia using Permanent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR) and Ground-Penetrating Radar (GPR) techniques

Rauff¹

2021

Acta Geodynamica Et Geomaterialia

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Ground deformations (e.g., landslide and subsidence) have substantially risen recently around Penang Island, Malaysia. The development of hillslopes for rapid urbanisation and heavy rainfall has detrimental impacts on Penang Island soil layers. Modelling, simulation, and the development of susceptibility maps were past methods used to predict potential ground deformations of Penang Island. There is no published work on the Interferometry Synthetic Aperture Radar (InSAR) technique, where ground deformation of the region has been holistically studied. This work integrates the Persistent Scatterer InSAR (PS-InSAR) technique with Ground Penetrating Radar (GPR) to monitor the deformation on the island and identify possible subsurface causes for the disturbance. Twenty-four descending Sentinel-1A datasets acquired between 14th July 2017 and 13th October 2018 were processed to monitor and map ground deformation areas with a focus on three selected regions-Batu Feringghi (BF), Paya Terubong (PT), and Tanjung Bungah (TB), where multiple landslides occurred between 2017 and 2018. InSAR results were later analysed using the Statistical Package for the Social Sciences (SPSS) tool and validated by the available Global Positioning System (GPS) analysis. InSAR analyses reveal the mean deformation values of -3.13 mm/yr, -2.76 mm/yr and -4.77 mm/yr for the BF, PT, and TB areas. GPR surveys were conducted with a 300/800 MHz dual-frequency antenna at the three selected study areas. Anomalies (wall cracks, road fissures, cavities, drains, and pipes) detected using GPR profiles correlated well with the permanent scatterer points calculated using the InSAR technique.

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“…Satellite-based InSAR has been used to construct landslide inventories using ERS [4] and TSX [5] data. In addition, long term landslide monitoring using ERS, Envisat, and Sentinel-1 data was performed by [6][7][8] including analysis and modeling using large SAR dataset archives [9][10][11]. In recent years, there are different sensors available with better spatial and temporal resolutions, such as Sentinel-1, compared to the early ERS mission.…”

Section: Introductionmentioning

confidence: 99%

Ground Deformation in The Ciloto Landslides Area Revealed by Multi-Temporal InSAR

2020

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Landslides are one of the natural hazards that occur annually in Indonesia. A continuous geodetic observation in the landslide prone area is essential to support the precautionary measures. Because of its hilly topography, torrential rainfall and landslide history, the Ciloto district in Indonesia has been affected by ground deformation for an extended period of time. The purpose of our study is to detect significant movement and quantify the kinematics of its motion using the Interferometric synthetic aperture radar (InSAR) time series analysis and multi-band SAR images. We utilized the small baseline SDFP technique for processing multi-temporal SAR data, comprising ERS1/2 (1998–1999), ALOS PALSAR (2007–2009), and Sentinel-1 (2014–2018). Based on the detected deformation signal in the Ciloto area, the displacement rates are categorized as very slow movements. Two active main landslide zones; the Puncak Pass and the Puncak Highway area, which show the trend of slow movement progressively increasing or descreasing, were detected. The integration of the velocity rate between InSAR results and ground observations (e.g., terrestrial and GPS) was conducted at the Puncak Highway area from the temporal perspective. Using the polynomial model, we estimated that the area had cumulatively displaced up to −42 cm for 25 years and the type of movements varied from single compound to multiple rotational and compound.

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Persistent Scatterer Interferometry Using Sentinel-1 Data

Cited by 16 publications

References 10 publications

Incorporating kinematic attributes into rock glacier inventories exploiting InSAR data: preliminary results in eleven regions worldwide

Incorporating kinematic attributes into rock glacier inventories exploiting InSAR data: preliminary results in eleven regions worldwide

Monitoring of the ground deformation in Penang Island, Malaysia using Permanent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR) and Ground-Penetrating Radar (GPR) techniques

Ground Deformation in The Ciloto Landslides Area Revealed by Multi-Temporal InSAR

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