气候变化领域集成服务门户(CCPortal): Detecting seasonal ice dynamics in satellite images

CCPortal

DOI	10.5194/tc-14-4365-2020
	Detecting seasonal ice dynamics in satellite images
	Greene C.A.; Gardner A.S.; Andrews L.C.
发表日期	2020
ISSN	19940416
起始页码	4365
结束页码	4378
卷号	14 期号:12
英文摘要	Fully understanding how glaciers respond to environmental change will require new methods to help us identify the onset of ice acceleration events and observe how dynamic signals propagate within glaciers. In particular, observations of ice dynamics on seasonal timescales may offer insights into how a glacier interacts with various forcing mechanisms throughout the year. The task of generating continuous ice velocity time series that resolve seasonal variability is made difficult by a spotty satellite record that contains no optical observations during dark, polar winters. Furthermore, velocities obtained by feature tracking are marked by high noise when image pairs are separatedby short time intervals and contain no direct insights into variability that occurs between images separated by long time intervals. In this paper, we describe a method of analyzing optical- or radar-derived feature-tracked velocities to characterize the magnitude and timing of seasonal ice dynamic variability. Our method is agnostic to data gaps and is able to recover decadal average winter velocities regardless of the availability of direct observations during winter. Using characteristicimage acquisition times and error distributions from Antarctic image pairs in the ITS LIVE dataset,we generate synthetic ice velocity time series, then apply our method to recover imposed magnitudesof seasonal variability within 1.4myr..1. We then validate the techniques by comparing our results to GPS data collected on Russell Glacier in Greenland. The methods presented here may be applied tobetter understand how ice dynamic signals propagate on seasonal timescales and what mechanisms control the flow of the world's ice. © 2020 Author(s).
英文关键词	GPS; ice flow; image analysis; polar region; radar altimetry; satellite altimetry; seasonality; signal processing; Arctic; Greenland; Russell Glacier; Notolabrus celidotus
语种	英语
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/202091
作者单位	Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States
推荐引用方式 GB/T 7714	Greene C.A.,Gardner A.S.,Andrews L.C.. Detecting seasonal ice dynamics in satellite images[J],2020,14(12).
APA	Greene C.A.,Gardner A.S.,&Andrews L.C..(2020).Detecting seasonal ice dynamics in satellite images.Cryosphere,14(12).
MLA	Greene C.A.,et al."Detecting seasonal ice dynamics in satellite images".Cryosphere 14.12(2020).