DOI: 10.5194/tc-14-4365-2020
论文题名: Detecting seasonal ice dynamics in satellite images
作者: Greene C.A. ; Gardner A.S. ; Andrews L.C.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期: 12 起始页码: 4365
结束页码: 4378
语种: 英语
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
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). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164469
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
Greene C.A.,Gardner A.S.,Andrews L.C.. Detecting seasonal ice dynamics in satellite images[J]. Cryosphere,2020-01-01,14(12)