Complex surface deformation of Akutan volcano, Alaska revealed from InSAR time series

Wang, Teng; DeGrandpre, K.; Lü, Zhong; Freymueller, J. T.

doi:10.1016/j.jag.2017.09.001

Cited by 37 publications

(24 citation statements)

References 13 publications

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“…Salzer et al, 2014;Stephens et al, 2017) and quantify deformation magnitudes and spatial extents more accurately than previous generations of sensors could (e.g. Prati et al, 2010;Wang et al, 2018).…”

Section: Sar Datamentioning

confidence: 99%

Synthesizing multi-sensor, multi-satellite, multi-decadal datasets for global volcano monitoring

Furtney

Pritchard

Biggs

et al. 2018

Journal of Volcanology and Geothermal Research

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ReuseThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can't change the article in any way or use it commercially. More information and the full terms of the licence here: https://creativecommons.org/licenses/ TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. AbstractOwing to practical limitations less than half of Earth's 1400 subaerial volcanoes have no ground monitoring and few are monitored consistently. Earth-observing satellite missions provide global and frequent measurements of volcanic activity that are closing these gaps in coverage. We compare databases of global, satellite-detections of ground deformation (1992-2016), SO 2 emissions , and thermal features (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) that together include 306 volcanoes. Each database has limitations in terms of spatial and temporal resolution but each technique contributed 45-86 unique detections of activity that were not detected by other techniques.Integration of these three databases shows that satellites detected ~10 2 volcanic activities per year before the year 2000 and ~10 3 activities per year after the year 2000. We find that most of the 54 erupting volcanoes without satellite-detections are associated with low volcano explosivity index eruptions and note that many of these eruptions (71%, 97/135) occurred in the earliest decades of remote sensing (pre-2000) when detection thresholds were high. From 1978-2016 we conduct a preliminary analysis of the timing between the onset of satellite-detections of deformation (N=154 episodes, N=71 volcanoes), thermal features (N=16544 episodes, N=99 volcanoes), and SO 2 emissions (N=1495 episodes, N=116 volcanoes) to eruption start dates. We analyze these data in two ways: first, including all satellite-detected volcanic activities associated ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P Twith an eruption; and second, by considering only the first satellite-detected activity related to eruption. In both scenarios, we find that deformation is dominantly pre-eruptive (47% and 57%) whereas available databases of thermal features and SO 2 emissions utilizing mainly lowresolution sensors are dominantly co-eruptive (88% and 76% for thermal features, 97% and 96% for SO 2 emissions).

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Section: Sar Datamentioning

confidence: 99%

Synthesizing multi-sensor, multi-satellite, multi-decadal datasets for global volcano monitoring

Furtney

Pritchard

Biggs

et al. 2018

Journal of Volcanology and Geothermal Research

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“…Over the past few decades, interferometric synthetic aperture radar (InSAR) has been developed as an effective geodetic surveying technique and used for investigating geophysical phenomena, including seismic deformation [18,19], volcano dynamics [20,21], earthquakes [22,23], landslides [24,25], and other geologic processes. The InSAR technique can also monitor the ground deformation caused by human activities (e.g., mining [26,27], delta sinking [28], and land subsidence [29][30][31][32]).…”

Section: Introductionmentioning

confidence: 99%

Land Subsidence and Ground Fissures in Beijing Capital International Airport (BCIA): Evidence from Quasi-PS InSAR Analysis

Gao

Gong

et al. 2019

Remote Sensing

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Land subsidence is a global environmental geological hazard caused by natural or human activities. The high spatial resolution and continuous time coverage of interferometric synthetic aperture radar (InSAR) time series analysis techniques provide data and a basis for the development of methods for the investigation and evolution mechanism study of regional land subsidence. Beijing, the capital city of China, has suffered from land subsidence for decades since it was first recorded in the 1950s. It was reported that uneven ground subsidence and fractures have seriously affected the normal operation of the Beijing Capital International Airport (BCIA) in recent years before the overhaul of the middle runway in April 2017. In this study, InSAR time series analysis was successfully used to detect the uneven local subsidence and ground fissure activity that has been gradually increasing in BCIA since 2010. A multi-temporal InSAR (MT-InSAR) technique was performed on 63 TerraSAR-X/TanDem-X (TSX/TDX) images acquired between 2010 and 2017, then deformation rate maps and time series for the airport area were generated. Comparisons of deformation rate and displacement time series from InSAR and ground-leveling were carried out in order to evaluate the accuracy of the InSAR-derived measurements. After an integrated analysis of the distribution characteristics of land subsidence, previous research results, and geological data was carried out, we found and located an active ground fissure. Then main cause of the ground fissures was preliminarily discussed. Finally, it can be conducted that InSAR technology can be used to identify and monitor geological processes, such as land subsidence and ground fissure activities, and can provide a scientific approach to better explore and study the cause and formation mechanism of regional subsidence and ground fissures.

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“…And compared with GPS data, the reasons for the land subsidence in Taiyuan Basin were analyzed and discussed. Wang et al (2018) used the ENVISAT ASAR dataset collected from 2003 to 2010 and the TerraSAR-X dataset collected from 2010 to 2016, based on TS-InSAR technology, the land deformation law of Akutan volcano from 2003 to 2016 was analyzed and discussed. Shi et al (2019) used 16 ALOS PALSAR data sets collected from January 1, 2007 to February 27, 2011, based on TS-InSAR technology, the subsidence law of Wink sinkholes is analyzed and discussed.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Subsidence Monitoring of Reclamation Area Based on Ts-Insar Technology

Ren

Shi

Zhou

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This study used the Time Series Interferometric Synthetic Aperture Radar (TS-InSAR) technology and the ENVISAT ASAR dataset obtained between 2007 and 2010 and the Sentinel-1A dataset from 2017 to 2019 to determine the subsidence in the Shenzhen reclamation area, and used ASTER GDEM V2 to remove the phase jump caused by spectral decorrelation between bursts. Based on the time series of land subsidence of the reclamation area, a three-dimensional subsidence model of the reclamation area was established. By comparing and analyzing the subsidence results of two sets of satellite time series in the reclamation area, the temporal and spatial evolution of land subsidence and the cause of land subsidence in the reclamation area were analyzed. The results show that the test results of time series ENVISAT ASAR and Sentinel-1A have good continuity in subsidence spatialtemporal variation: From 2007 to 2010, the land subsidence in most areas of Shenzhen reclamation area is relatively stable, and the area where subsidence occurs is mainly distributed in Baoan District, the maximum subsidence rate in Baoan District is −23.12 mm/year. From 2017 to 2019, land subsidence in the reclamation area showed a tendency to spread and spread from west to east. The subsidence characteristics of Nanshan District are the most obvious, and the maximum subsidence rate is −17.52 mm/year.

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Complex surface deformation of Akutan volcano, Alaska revealed from InSAR time series

Cited by 37 publications

References 13 publications

Synthesizing multi-sensor, multi-satellite, multi-decadal datasets for global volcano monitoring

Synthesizing multi-sensor, multi-satellite, multi-decadal datasets for global volcano monitoring

Land Subsidence and Ground Fissures in Beijing Capital International Airport (BCIA): Evidence from Quasi-PS InSAR Analysis

Three-Dimensional Subsidence Monitoring of Reclamation Area Based on Ts-Insar Technology

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