气候变化领域集成服务门户(CCPortal): Automated Methods for Detecting Volcanic Deformation Using Sentinel-1 InSAR Time Series Illustrated by the 2017

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DOI	10.1029/2019JB017908
	Automated Methods for Detecting Volcanic Deformation Using Sentinel-1 InSAR Time Series Illustrated by the 2017–2018 Unrest at Agung, Indonesia
	Albino F.; Biggs J.; Yu C.; Li Z.
发表日期	2020
ISSN	21699313
卷号	125 期号:2
英文摘要	Radar satellites, such as Sentinel-1, are now able to produce time series of ground deformation at any volcano around the world, but atmospheric effects still limit the real-time detection of unrest at tropical volcanoes. Here, we test two approaches to correct atmospheric errors—phase elevation correlations and global weather models—and assess the ability of Interferometric Synthetic Aperture Radar (InSAR) time series to detect deformation anomalies using either a fixed threshold or a cumulative sum control chart. We use the 2017–2018 crisis at Agung volcano as a case example because strong atmospheric signals were originally misidentified as true deformation, and obscured the subtle deformation pattern associated with magmatic activity. We assess the Receiver Operating Characteristics (ROC) of each method and found the average area under the ROC curve to be about 0.5 for the uncorrected data (corresponding to no discrimination capability), around 0.8 after combined atmospheric corrections (weather model and phase elevation approaches), and more than 0.95 using a cumulative sum control chart (where 1 corresponds to ideal separation between classes). Our results retrospectively show that uplift could have been detected to a 95% level of confidence for both ascending and descending time series by October 2017, 15 days after the start of the seismic swarm and 1 month prior to the eruption. Thus, our approach successfully flags anomalous behavior without relying on visual inspection or selection of an arbitrary threshold, and hence shows potential as a monitoring tool for volcano observatories globally. ©2020. The Authors.
英文关键词	Agung volcano; atmospheric corrections; real-time monitoring; Sentinel-1 time series; volcanic unrest; weather model
语种	英语
来源期刊	Journal of Geophysical Research: Solid Earth
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/187957
作者单位	COMET, School of Earth Sciences, University of Bristol, Bristol, United Kingdom; COMET, School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom
推荐引用方式 GB/T 7714	Albino F.,Biggs J.,Yu C.,等. Automated Methods for Detecting Volcanic Deformation Using Sentinel-1 InSAR Time Series Illustrated by the 2017–2018 Unrest at Agung, Indonesia[J],2020,125(2).
APA	Albino F.,Biggs J.,Yu C.,&Li Z..(2020).Automated Methods for Detecting Volcanic Deformation Using Sentinel-1 InSAR Time Series Illustrated by the 2017–2018 Unrest at Agung, Indonesia.Journal of Geophysical Research: Solid Earth,125(2).
MLA	Albino F.,et al."Automated Methods for Detecting Volcanic Deformation Using Sentinel-1 InSAR Time Series Illustrated by the 2017–2018 Unrest at Agung, Indonesia".Journal of Geophysical Research: Solid Earth 125.2(2020).