气候变化领域集成服务门户(CCPortal): When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series

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DOI	10.1016/j.rse.2021.112402
	When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series
	Dille A.; Kervyn F.; Handwerger A.L.; d'Oreye N.; Derauw D.; Mugaruka Bibentyo T.; Samsonov S.; Malet J.-P.; Kervyn M.; Dewitte O.
发表日期	2021
ISSN	00344257
卷号	258
英文摘要	Slow-moving landslides exhibit persistent but non-uniform motion at low rates which makes them exceptional natural laboratories to study the mechanisms that control the dynamics of unstable hillslopes. Here we leverage 4.5+ years of satellite-based radar and optical remote sensing data to quantify the kinematics of a slow-moving landslide in the tropical rural environment of the Kivu Rift, with unprecedented high spatial and temporal resolution. We measure landslide motion using sub-pixel image correlation methods and invert these data into dense time series that capture weekly to multi-year changes in landslide kinematics. We cross-validate and compare our satellite-based results with very-high-resolution Unoccupied Aircraft System topographic datasets, and explore how rainfall, simulated pore-water pressure, and nearby earthquakes control the overall landslide behaviour. The landslide exhibited seasonal and multi-year velocity variations that varied across the landslide kinematic units. While rainfall-induced changes in pore-water pressure exerts a primary control on the landslide motion, these alone cannot explain the observed variability in landslide behaviour. We suggest instead that the observed landslide kinematics result from internal landslide dynamics, such as extension, compression, material redistribution, and interactions within and between kinematic units. Our study provides, a rare, detailed overview of the deformation pattern of a landslide located in a tropical environment. In addition, our work highlights the viability of sub-pixel image correlation with long time series of radar-amplitude data to quantify surface deformation in tropical environments where optical data is limited by persistent cloud cover and emphasize the importance of exploiting synergies between multiple types of data to capture the complex kinematic pattern of landslides. © 2021 Elsevier Inc.
英文关键词	Ground deformation; Kivu rift; Landslide kinematics; Landslide mechanisms and controls; Optical satellite imagery; Pore-water pressure; Radar-amplitude; SAR; Tropical Africa; UAS
语种	英语
scopus关键词	Deformation; Dynamics; Image analysis; Kinematics; Landslides; Pixels; Pore pressure; Radar imaging; Rain; Remote sensing; Satellite imagery; Space-based radar; Synthetic aperture radar; Time series; Tropics; Water; Ground deformations; Kivu rift; Landslide control; Landslide kinematic; Landslide mechanism; Optical satellite imagery; Pore-water pressures; Radar-amplitude; SAR; Tropical africa; Pressure distribution; autocorrelation; cloud cover; correlation; hillslope; landslide; rainfall; remote sensing; rural area; satellite data; time series analysis; Democratic Republic Congo; Kivu
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/178879
作者单位	Department of Earth Sciences, Royal Museum for Central Africa, Tervuren, Belgium; Department of Geography, Earth System Science, Vrije Universiteit Brussel, Brussels, Belgium; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; European Centre for Geodynamics and Seismology, Walferdange, Luxembourg; National Museum of Natural History, Luxembourg, Luxembourg; Instituto de Investigación en Paleobiología y Geología, Universidad Nacional de Rio Negro - CONICETRío Negro, Argentina; Centre Spatial de Liège, Université de Liège, Angleur, Belgium; Département de Géologie, Université Officielle de Bukavu, Bukavu, DR, Congo; Department of Geology, Ghent University, Ghent, Belgium; Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, Canada; Institut Terre et Environnement de Strasbourg, ITES, CNRS/Université de Strasbourg, ...
推荐引用方式 GB/T 7714	Dille A.,Kervyn F.,Handwerger A.L.,et al. When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series[J],2021,258.
APA	Dille A..,Kervyn F..,Handwerger A.L..,d'Oreye N..,Derauw D..,...&Dewitte O..(2021).When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series.Remote Sensing of Environment,258.
MLA	Dille A.,et al."When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series".Remote Sensing of Environment 258(2021).