气候变化领域集成服务门户(CCPortal): Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data

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DOI	10.1016/j.rse.2020.112057
	Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data
	Hu X.; Bürgmann R.; Fielding E.J.; Lee H.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Landslides represent one of the most damaging natural hazards and often lead to unexpected casualties and property damage. They also continually modify our natural environment and landscapes. Knowledge of landslide systems is largely restricted by the stochastic nature, subjective interpretation and infrequent or spatially sparse surveying of landslides. Characterized by persistent daily movements of a couple of centimeters over multi-centennial timescales and a long narrow shape as long as ~4 km, the Slumgullion landslide in Colorado, USA represents an ideal natural laboratory to study slow-moving landslides. Here we demonstrate the capability of the highly accurate, spatially continuous airborne Synthetic Aperture Radar (SAR) system of the NASA Uninhabited Aerial Vehicle SAR (UAVSAR) to characterize the kinematic details of internal deformation of the Slumgullion landslide using SAR interferometry (InSAR). We develop a phase-based approach to automatically extract the boundaries of the mobile geological structures without unwrapping. Comparison with historic field observations from 1991 reveals the 40-m advance of the frontal toe and shift of an internal fault. The UAVSAR data also resolve an internal minislide (100 by 70 m), which moves more southerly than the main body at 5 mm/day in the lower part of the landslide. A Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM) shows that the minislide is associated with the opening of a 30 by 10 m pull-apart basin and bounding strike-slip faults. These extensional structures, nearby incised streams, and steepened local slopes helped establish the kinematic environment for the formation of the secondary minislide. The disparity between the UAVSAR InSAR-derived horizontal moving directions and the LiDAR DEM-derived slope aspects suggest that while the surface topography governs the first-order orientation, the local kinematics is also subject to the variable nature of heterogeneous landslide materials and the irregular basal bedrock surface. The landslide velocity and precipitation show similar multi-annual variations. Our study demonstrates that the freely available, high-resolution UAVSAR data, have great potential for characterizing landslide kinematics and other small-scale geological and geomorphological processes. © 2020
英文关键词	Geomorphologic features; InSAR; Kinematic boundaries; Slumgullion landslide; UAVSAR
语种	英语
scopus关键词	Antennas; Kinematics; NASA; Optical radar; Stochastic systems; Strike-slip faults; Surveying; Synthetic aperture radar; Topography; Airborne synthetic aperture radars; Digital elevation model; Geological structures; Kinematic environments; Light detection and ranging; Natural laboratories; Phase-based approaches; Uninhabited aerial vehicle; Landslides; geological structure; kinematics; landslide; natural hazard; radar interferometry; satellite data; surveying; synthetic aperture radar; unmanned vehicle; Colorado; United States
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/179135
作者单位	Berkeley Seismological Laboratory, University of California, Berkeley, CA, United States; Department of Earth and Planetary Science, University of California, Berkeley, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Civil and Environmental Engineering, University of Houston, Houston, TX, United States
推荐引用方式 GB/T 7714	Hu X.,Bürgmann R.,Fielding E.J.,et al. Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data[J],2020,251.
APA	Hu X.,Bürgmann R.,Fielding E.J.,&Lee H..(2020).Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data.Remote Sensing of Environment,251.
MLA	Hu X.,et al."Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data".Remote Sensing of Environment 251(2020).