气候变化领域集成服务门户(CCPortal): Inference of the impact of wildfire on permafrost and active layer thickness in a discontinuous permafrost region using the remotely sensed active layer thickness (ReSALT) algorithm

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DOI	10.1088/1748-9326/aaf932
	Inference of the impact of wildfire on permafrost and active layer thickness in a discontinuous permafrost region using the remotely sensed active layer thickness (ReSALT) algorithm
	Michaelides R.J.; Schaefer K.; Zebker H.A.; Parsekian A.; Liu L.; Chen J.; Natali S.; Ludwig S.; Schaefer S.R.
发表日期	2019
ISSN	17489318
卷号	14 期号:3
英文摘要	The Yukon-Kuskokwim (YK) Delta is a region of discontinuous permafrost in the subarctic of southwestern Alaska. Many wildfires have occurred in the YK Delta between 1971-2015, impacting vegetation cover, surface soil moisture, and the active layer. Herein, we demonstrate that the remotely sensed active layer thickness (ReSALT) algorithm can resolve the post-fire active layer dynamics of tundra permafrost. We generated a stack of Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar interferograms over a study region in the YK Delta spanning 2007-2010. We applied ReSALT to this stack of interferograms to measure seasonal subsidence associated with the freezing and thawing of the active layer and subsidence trends associated with wildfire. We isolated two wildfire-induced subsidence signatures, associated with the active layer and the permafrost layer. We demonstrate that InSAR is sensitive to increases in active layer thickness following wildfire, which recovers to pre-fire values after approximately 25 years. Simultaneously, we show that fire gradually thins the permafrost layer by 4 m, which recovers to pre-fire thickness after 70 years. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	active layer; Arctic; geophysics; InSAR; permafrost; radar remote sensing; wildfire
语种	英语
scopus关键词	Geophysics; Inference engines; Interferometry; Permafrost; Remote sensing; Rhenium alloys; Soil moisture; Subsidence; Synthetic aperture radar; Active Layer; Arctic; InSAR; Radar remote sensing; wildfire; Fires; active layer; algorithm; freeze-thaw cycle; geophysics; ice thickness; PALSAR; permafrost; radar altimetry; remote sensing; subarctic region; wildfire; Alaska; Kuskokwim Bay; United States; Yukon Delta
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/154668
作者单位	Department of Geophysics, Stanford University, Stanford, CA 94305, United States; National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, CO 80309, United States; Department of Geology and Geophysics, University of Wyoming, Laramie, WY 82070, United States; Earth System Science Programme, Faculty of Science, Chinese University of Hong Kong, Hong Kong, Hong Kong; Department of Aerospace Engineering and Engineering Mechanics, WRW Building, 210 E 24st Street, Austin, TX 78712, United States; Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02540, United States; DePaul University, Chicago, IL 60604, United States
推荐引用方式 GB/T 7714	Michaelides R.J.,Schaefer K.,Zebker H.A.,et al. Inference of the impact of wildfire on permafrost and active layer thickness in a discontinuous permafrost region using the remotely sensed active layer thickness (ReSALT) algorithm[J],2019,14(3).
APA	Michaelides R.J..,Schaefer K..,Zebker H.A..,Parsekian A..,Liu L..,...&Schaefer S.R..(2019).Inference of the impact of wildfire on permafrost and active layer thickness in a discontinuous permafrost region using the remotely sensed active layer thickness (ReSALT) algorithm.Environmental Research Letters,14(3).
MLA	Michaelides R.J.,et al."Inference of the impact of wildfire on permafrost and active layer thickness in a discontinuous permafrost region using the remotely sensed active layer thickness (ReSALT) algorithm".Environmental Research Letters 14.3(2019).