Monitoring volcano slope instability with Synthetic Aperture Radar: A review and new data from Pacaya (Guatemala) and Stromboli (Italy) volcanoes

Schaefer, Lauren N.; Traglia, Federico Di; Chaussard, Estelle; Lü, Zhong; Nolesini, Teresa; Casagli, Nicola

doi:10.1016/j.earscirev.2019.03.009

Cited by 79 publications

(60 citation statements)

References 195 publications

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“…Several studies have been carried out on investigating the effectiveness of Differential SAR Interferometry (D-InSAR) on the detection of land movements. D-InSAR has been used successfully for monitoring land subsidence [5][6][7][8][9] and uplift, with particular applications such as landslides [10][11][12] and other ground displacements caused by natural occurring phenomena such as earthquakes [13][14][15], volcano eruptions [16][17][18][19], and also human activities [20,21]. D-InSAR can be used to detect and monitor, under certain conditions, ground deformations on a centimetric scale, offering an effective method for assessing land movements over large areas [22].…”

Section: Introductionmentioning

confidence: 99%

The Use of Sentinel-1 Synthetic Aperture Radar (SAR) Images and Open-Source Software for Cultural Heritage: An Example from Paphos Area in Cyprus for Mapping Landscape Changes after a 5.6 Magnitude Earthquake

Tzouvaras

Kouhartsiouk²,

Αγαπίου

et al. 2019

Remote Sensing

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Active satellite remote sensors have emerged in the last years in the field of archaeology, providing new tools for monitoring extensive cultural heritage landscapes and areas. These active sensors, namely synthetic aperture radar (SAR) satellites, provide systematic datasets for mapping land movements triggered from earthquakes, landslides, and so on. Copernicus, the European program for monitoring the environment, provides continuous radar datasets through the Sentinel-1 mission with an almost worldwide coverage. This paper aims to demonstrate how the use of open-access and freely distributed datasets such as those under the Copernicus umbrella, along with the exploitation of open-source radar processing software, namely the sentinel applications platform (SNAP) and SNAPHU tools, provided respectively by the European Space Agency (ESA) and the University of Stanford, can be used to extract an SAR interferogram in the wider area of Paphos, located in the western part of Cyprus. The city includes various heritage sites and monuments, some of them already included in the UNESCO World Heritage list. The interferogram was prepared to study the effects of an earthquake to the buildings and sites of the area. The earthquake of a 5.6 magnitude on the Richter scale was triggered on 15 April 2015 and was strongly felt throughout the whole island. The interferogram results were based on Differential Synthetic Aperture Radar Interferometry (D-InSAR) methodology, finding a maximum uplift of 74 mm and a maximum subsidence of 31 mm. The overall process and methodology are presented in this paper.

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Section: Introductionmentioning

confidence: 99%

The Use of Sentinel-1 Synthetic Aperture Radar (SAR) Images and Open-Source Software for Cultural Heritage: An Example from Paphos Area in Cyprus for Mapping Landscape Changes after a 5.6 Magnitude Earthquake

Tzouvaras

Kouhartsiouk²,

Αγαπίου

et al. 2019

Remote Sensing

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“…Ongoing long-term flank motion at active volcanoes has been reported globally (e.g., Borgia et al 2000;Di Traglia et al 2014;Poland et al 2017;Schaefer et al 2019). Observations of flank instability at large basaltic volcanoes suggested that a weak substrate beneath the sliding surface should exist to accommodate persistent motion (Poland et al 2017).…”

Section: Possible Mechanism Of the Deformation At Sefmentioning

confidence: 98%

“…The spreading of small horizontal velocity (< 10 mm/year) at the SEF also indicates that the depth of the sliding surface is deep seated. In contrast, surficial flank motions such as remobilization of volcanoclastic material and material erosion are typically localized and much faster (Schaefer et al 2019). Persistent deep-seated flank motion at active volcanoes is less likely to evolve into large-volume landslides, because elastic stress can be relaxed due to the very slow deformation rate (De Vries and Borgia 1996).…”

Section: Possible Mechanism Of the Deformation At Sefmentioning

confidence: 99%

Surface deformation of Asama volcano, Japan, detected by time series InSAR combining persistent and distributed scatterers, 2014‒2018

Wang

Aoki

Chen

2019

Earth Planets Space

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Asama volcano is one of the most active volcanoes in Japan. Spatially dense surface deformation at Asama volcano has rarely been documented because of its high topography and snow cover around the summit. This study presents the first interferometric synthetic aperture radar (InSAR) observation of ground deformation at Asama volcano with 120 Sentinel-1 SAR images from both ascending and descending tracks and 20 descending ALOS-2 images acquired between 2014 and 2018. We exploited both persistent and distributed scatterers to overcome decorrelation of SAR signals and applied a three-dimensional unwrapping method to retrieve the displacement time series efficiently. Our observations reveal an asymmetric deformation around the volcano with two main deformation regions on the northeast and southeast flanks, respectively. The northeast flank (NEF) exhibits line-of-sight (LOS) extensions in all the three SAR datasets with maximum velocities of − 14, − 10, and − 12 mm/year for the descending ALOS-2, ascending, and descending Sentinel-1 measurements, respectively. The southeast flank (SEF) shows LOS extensions in the ascending observations and LOS shortening in the descending observations with velocities between − 12 and 9 mm/ year. Decomposition of the LOS displacements reveals nearly pure subsidence at the NEF, while the SEF exhibits a substantial eastward component as well as subsidence. Comparisons of the vertical subsidence at two continuous GNSS stations near the summit crater with our InSAR observations indicate small discrepancies smaller than 4 mm/year. We interpreted that the subsidence at the NEF of Asama is primarily due to the hydrothermal activity, while the deformation at SEF is plausibly due to flank instability. We highlight that efforts should be taken to monitor the slope instability at Asama volcano in the future.

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“…On the other hand, amplitude-based SAR offset-tracking technique can potentially detect and monitor large-gradient deformation, which estimates the azimuth and range offsets using a cross-correlation technique between two amplitude images (Rott et al, 1998). This method has been successfully applied to investigate mining-induced collapse (Yang et al, 2018), volcano eruption (Schaefer et al, 2019), coseismic deformation (Vajedian et al, 2018), and landslide movements (Darvishi et al, 2018;Singleton et al, 2014).…”

Section: 1029/2019gl086142mentioning

confidence: 99%

Deformation of the Baige Landslide, Tibet, China, Revealed Through the Integration of Cross‐Platform ALOS/PALSAR‐1 and ALOS/PALSAR‐2 SAR Observations

Liu

Zhao

Zhang

et al. 2020

Geophysical Research Letters

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Twenty‐eight ALOS/PALSAR‐1 and ALOS/PALSAR‐2 images acquired from January 2007 to August 2018 were exploited to characterize the deformation history and temporal evolution of the Baige landslide, China, which successively occurred on 11 October and 3 November 2018. To mitigate the errors caused by the topographic relief and to conduct offset estimates between the SAR images from different platforms, a novel offset‐tracking method is proposed. The SAR images were ortho‐rectified firstly. Then two‐dimensional deformations were retrieved successfully from SAR images acquired at an identical platform and different platforms. Our results indicate that the maximum cumulative deformation in the line‐of‐sight direction of the Baige landslide reached about −60 m between January 2007 and August 2018. Furthermore, correlation between time series deformation and monthly precipitation and soil moisture derived from SAR intensity images suggests that the failure of the Baige landslide was closely related to the heavy rainfall in the summer of 2018.

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Monitoring volcano slope instability with Synthetic Aperture Radar: A review and new data from Pacaya (Guatemala) and Stromboli (Italy) volcanoes

Cited by 79 publications

References 195 publications

The Use of Sentinel-1 Synthetic Aperture Radar (SAR) Images and Open-Source Software for Cultural Heritage: An Example from Paphos Area in Cyprus for Mapping Landscape Changes after a 5.6 Magnitude Earthquake

The Use of Sentinel-1 Synthetic Aperture Radar (SAR) Images and Open-Source Software for Cultural Heritage: An Example from Paphos Area in Cyprus for Mapping Landscape Changes after a 5.6 Magnitude Earthquake

Surface deformation of Asama volcano, Japan, detected by time series InSAR combining persistent and distributed scatterers, 2014‒2018

Deformation of the Baige Landslide, Tibet, China, Revealed Through the Integration of Cross‐Platform ALOS/PALSAR‐1 and ALOS/PALSAR‐2 SAR Observations

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