气候变化领域集成服务门户(CCPortal): InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal

CCPortal

DOI	10.1016/j.rse.2020.111983
	InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal
	Bekaert D.P.S.; Handwerger A.L.; Agram P.; Kirschbaum D.B.
发表日期	2020
ISSN	00344257
卷号	249
英文摘要	Mapping and monitoring landslides in remote areas with steep and mountainous terrain is logistically challenging, expensive, and time consuming. Yet, in order to mitigate hazards and prevent loss of life in these areas, and to better understand landslide processes, high-resolution measurements of landslide activity are necessary. Satellite-based synthetic aperture radar interferometry (InSAR) provides millimeter-scale measurements of ground surface deformation that can be used to identify and monitor landslides in remote areas where ground-based monitoring techniques are not feasible. Here we present a novel InSAR deformation detection approach, which uses double difference time-series with local and regional spatial filters and pixel clustering methods to identify and monitor slow-moving landslides without making a priori assumptions of the location of landslides. We apply our analysis to freely available Copernicus Sentinel-1 satellite data acquired between 2014 and 2017 centered on the Trishuli River drainage basin in Nepal. We found a minimum of 6 slow-moving landslides that all occur within the Ranimatta lithologic formation (phyllites, metasandstones, metabasics). These landslides have areas ranging from 0.39 to 1.66 km2 and long-term dry-season displacement rates ranging from 2.1 to 8.8 cm/yr. Due to periods of low coherence during the monsoon season (June – September) each year, and following the 25 April 2015 Mw7.8 Gorkha earthquake, our time series analysis is limited to the 2014–2015 and 2016–2017 dry seasons (September–May). We found that each of the landslides displayed slightly higher rates during the 2014 period, likely as a result of higher cumulative rainfall that fell during the 2014 monsoon season. Although we do not have high quality InSAR data to show the landslide evolution directly following the Gorkha earthquake, the similar rates of movement before (2014–2015) and after (2016–2017) Gorkha suggest the earthquake had negligible long-term impact on these landslides. Our findings highlight the potential for region-wide mapping of slow-moving landslides using freely available remote sensing data in remote areas such as Nepal and future work will benefit from expanding our methodology to other regions around the world. © 2020 Elsevier Inc.
英文关键词	Deep-seated landslide; Detection; Earthquake; Gorkha earthquake; Slow-moving landslide; Synthetic aperture radar; Time-series InSAR; Trishuli
语种	英语
scopus关键词	Atmospheric thermodynamics; Catchments; Deformation; Drought; Earthquakes; Mapping; Remote sensing; Space-based radar; Synthetic aperture radar; Time series analysis; Cumulative rainfall; Deformation detection; Ground surface deformation; Ground-based monitoring; High-resolution measurements; Mountainous terrain; Remote sensing data; Synthetic aperture radar interferometry; Landslides; detection method; drainage basin; ground-based measurement; mapping method; monitoring system; mountain region; pixel; remote sensing; satellite altimetry; satellite data; synthetic aperture radar; terrain; Gandaki; Gorkha; Nepal; Trishuli River
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179172
作者单位	Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, United States; Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States
推荐引用方式 GB/T 7714	Bekaert D.P.S.,Handwerger A.L.,Agram P.,et al. InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal[J],2020,249.
APA	Bekaert D.P.S.,Handwerger A.L.,Agram P.,&Kirschbaum D.B..(2020).InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal.Remote Sensing of Environment,249.
MLA	Bekaert D.P.S.,et al."InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal".Remote Sensing of Environment 249(2020).