气候变化领域集成服务门户(CCPortal): Periglacial vegetation dynamics in Arctic Russia: Decadal analysis of tundra regeneration on landslides with time series satellite imagery

CCPortal

DOI	10.1088/1748-9326/abb500
	Periglacial vegetation dynamics in Arctic Russia: Decadal analysis of tundra regeneration on landslides with time series satellite imagery
	Verdonen M.; Berner L.T.; Forbes B.C.; Kumpula T.
发表日期	2020
ISSN	17489318
卷号	15 期号:10
英文摘要	Changes in vegetation productivity based on normalized difference vegetation index (NDVI) have been reported from Arctic regions. Most studies use very coarse spatial resolution remote sensing data that cannot isolate landscape level factors. For example, on Yamal Peninsula in West Siberia enhanced willow growth has been linked to widespread landslide activity, but the effect of landslides on regional NDVI dynamics is unknown. Here we apply a novel satellite-based NDVI analysis to investigate the vegetation regeneration patterns of active-layer detachments following a major landslide event in 1989. We analyzed time series data of Landsat and very high-resolution (VHR) imagery from QuickBird-2 and WorldView-2 and 3 characterizing a study area of ca. 35 km2. Landsat revealed that natural regeneration of low Arctic tundra progressed rapidly during the first two decades after the landslide event. However, during the past decade, the difference between landslide shear surfaces and surrounding areas remained relatively unchanged despite the advance of vegetation succession. Time series also revealed that NDVI generally declined since 2013 within the study area. The VHR imagery allowed detection of NDVI change 'hot-spots' that included temporary degradation of vegetation cover, as well as new and expanding thaw slumps, which were too small to be detected from Landsat satellite data. Our study demonstrates that landslides can have pronounced and long-lasting impacts on tundra vegetation. Thermokarst landslides and associated impacts on vegetation will likely become increasingly common in NW Siberia and other Arctic regions with continued warming. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	cryogenic landslides; Google Earth Engine; Landsat; NDVI; remote sensing; thermokarst; tundra regeneration
语种	英语
scopus关键词	Image analysis; Landforms; Landslides; Remote sensing; Satellite imagery; Small satellites; Time series; Vegetation; Natural regeneration; Normalized difference vegetation index; Remote sensing data; Vegetation dynamics; Vegetation productivity; Vegetation regeneration; Vegetation successions; Very high resolution; Time series analysis; decadal variation; landslide; periglacial environment; regeneration; satellite imagery; time series analysis; tundra; vegetation dynamics; Russian Federation; Salix
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153584
作者单位	Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, FI-80101, Finland; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86004, United States; Arctic Centre, University of Lapland, Rovaniemi, FI-96101, Finland
推荐引用方式 GB/T 7714	Verdonen M.,Berner L.T.,Forbes B.C.,et al. Periglacial vegetation dynamics in Arctic Russia: Decadal analysis of tundra regeneration on landslides with time series satellite imagery[J],2020,15(10).
APA	Verdonen M.,Berner L.T.,Forbes B.C.,&Kumpula T..(2020).Periglacial vegetation dynamics in Arctic Russia: Decadal analysis of tundra regeneration on landslides with time series satellite imagery.Environmental Research Letters,15(10).
MLA	Verdonen M.,et al."Periglacial vegetation dynamics in Arctic Russia: Decadal analysis of tundra regeneration on landslides with time series satellite imagery".Environmental Research Letters 15.10(2020).