气候变化领域集成服务门户(CCPortal): Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR

CCPortal

DOI	10.3390/rs13234738
	Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR
	Zhang, Xuefei; Feng, Min; Zhang, Hong; Wang, Chao; Tang, Yixian; Xu, Jinhao; Yan, Dezhao; Wang, Chunling
通讯作者	Feng, M (通讯作者)
发表日期	2021
EISSN	2072-4292
卷号	13 期号:23
英文摘要	Rock glaciers represent typical periglacial landscapes and are distributed widely in alpine mountain environments. Rock glacier activity represents a critical indicator of water reserves state, permafrost distribution, and landslide disaster susceptibility. The dynamics of rock glacier activity in alpine periglacial environments are poorly quantified, especially in the central Himalayas. Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) has been shown to be a useful technique for rock glacier deformation detection. In this study, we developed a multi-baseline persistent scatterer (PS) and distributed scatterer (DS) combined MT-InSAR method to monitor the activity of rock glaciers in the central Himalayas. In periglacial landforms, the application of the PS interferometry (PSI) method is restricted by insufficient PS due to large temporal baseline intervals and temporal decorrelation, which hinder comprehensive measurements of rock glaciers. Thus, we first evaluated the rock glacier interferometric coherence of all possible interferometric combinations and determined a multi-baseline network based on rock glacier coherence; then, we constructed a Delaunay triangulation network (DTN) by exploiting both PS and DS points. To improve the robustness of deformation parameters estimation in the DTN, we combined the Nelder-Mead algorithm with the M-estimator method to estimate the deformation rate variation at the arcs of the DTN and introduced a ridge-estimator-based weighted least square (WLR) method for the inversion of the deformation rate from the deformation rate variation. We applied our method to Sentinel-1A ascending and descending geometry data (May 2018 to January 2019) and obtained measurements of rock glacier deformation for 4327 rock glaciers over the central Himalayas, at least more than 15% detecting with single geometry data. The line-of-sight (LOS) deformation of rock glaciers in the central Himalayas ranged from -150 mm to 150 mm. We classified the active deformation area (ADA) of all individual rock glaciers with the threshold determined by the standard deviation of the deformation map. The results show that 49% of the detected rock glaciers (monitoring rate greater than 30%) are highly active, with an ADA ratio greater than 10%. After projecting the LOS deformation to the steep slope direction and classifying the rock glacier activity following the IPA Action Group guideline, 12% of the identified rock glaciers were classified as active and 86% were classified as transitional. This research is the first multi-baseline, PS, and DS network-based MT-InSAR method applied to detecting large-scale rock glaciers activity.
关键词	TIME-SERIES SURFACE DEFORMATION DISTRIBUTED SCATTERERS SAR INTERFEROMETRY SLOPE MOVEMENTS UNSTABLE SLOPES PERMAFROST PERSISTENT ALPS SUBSIDENCE
英文关键词	Himalayas; MT-InSAR; rock glaciers; deformation; active deformation areas; activity
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000735149200001
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260247
推荐引用方式 GB/T 7714	Zhang, Xuefei,Feng, Min,Zhang, Hong,et al. Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR[J]. 中国科学院青藏高原研究所,2021,13(23).
APA	Zhang, Xuefei.,Feng, Min.,Zhang, Hong.,Wang, Chao.,Tang, Yixian.,...&Wang, Chunling.(2021).Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR.REMOTE SENSING,13(23).
MLA	Zhang, Xuefei,et al."Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR".REMOTE SENSING 13.23(2021).