干旱区生态环境知识资源中心(Arid): Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm

Arid

DOI	10.1109/TGRS.2020.3010184
	Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm
	Shu, Song; Liu, Hongxing; Frappart, Frederic; Kang, Emily Lei; Yang, Bo; Xu, Min; Huang, Yan; Wu, Bin; Yu, Bailang; Wang, Shujie; Beck, Richard; Hinkel, Kenneth
通讯作者	Shu, S (corresponding author), Appalachian State Univ, Dept Geog & Planning, Boone, NC 28608 USA. ; Liu, HX (corresponding author), Univ Alabama, Dept Geog, Tuscaloosa, AL 35487 USA. ; Liu, HX (corresponding author), East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China.
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2021
卷号	59 期号:6 页码:4733-4748
英文摘要	The Geoscience Laser Altimeter System onboard the NASA Ice, Cloud, and land Elevation Satellite (ICESat/GLAS) provided elevation measurements of Earths surface between 2003 and 2009. The centroid and maximum-amplitude-peak (MAP) retracking methods have been designed and applied to process the returned laser waveforms for elevation measurements. Although these two methods work well in general, they may generate erroneous measurements when the returned waveform was complicated by adverse atmospheric conditions (clouds, ice fogs, blowing snow, and dust storms). The centroid retracking method is often more severely affected when compared with the MAP retracking method. In this study, we present a new retracking method that exploits the spatial contextual information from neighboring footprints along the satellite ground track, in addition to the single return waveform shape information. Our method uses a probabilistic relaxation (PR) algorithm to integrate the spatial contextual information and the waveform shape information to identify the waveform peak that most likely represents the true surface elevation, rather than simply detecting the peak with the maximum magnitude. For different types of land surfaces, such as inland lakes, polar tundra, ice sheet, and sand deserts, we demonstrate that our new PR retracking method is able to produce more reliable, consistent, and accurate elevation measurements than the standard NASA ICESat/GLAS data products. The root mean squares error (RMSE) is reduced from 0.85 to 0.17 m for inland lake, from 0.81 to 0.23 m for polar tundra, from 1.25 to 0.33 m for ice sheet, and from 2.48 to 2.34 m for sand desert.
英文关键词	Sea surface Surface waves Land surface Surface emitting lasers Sea measurements Measurement by laser beam Ice ICESat GLAS probabilistic relaxation (PR) retracking algorithm spatial contextual information waveforms
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000652834200019
WOS关键词	ICESAT LASER ALTIMETRY ; SURFACE ELEVATION ; SNOW ACCUMULATION ; PART I ; LAKES ; ALASKA ; COVER ; ANTARCTICA ; THICKNESS ; DEPTH
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	French National Research Institute for Sustainable Development ; E17
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350535
作者单位	[Shu, Song] Appalachian State Univ, Dept Geog & Planning, Boone, NC 28608 USA; [Liu, Hongxing] Univ Alabama, Dept Geog, Tuscaloosa, AL 35487 USA; [Liu, Hongxing] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China; [Frappart, Frederic] CNRS IRD UPS, OMP, Lab Etud Geophys & Oceanog Spatiales LEGOS, UMR 5566, F-31400 Toulouse, France; [Kang, Emily Lei; Beck, Richard; Hinkel, Kenneth] Univ Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA; [Kang, Emily Lei; Beck, Richard; Hinkel, Kenneth] Univ Cincinnati, Dept Geog & Geog Informat Sci, Cincinnati, OH 45221 USA; [Yang, Bo] Univ Cent Florida, Dept Sociol, Orlando, FL 32816 USA; [Xu, Min] Univ South Florida St Petersburg, Coll Marine Sci, St Petersburg, FL 33701 USA; [Huang, Yan; Wu, Bin; Yu, Bailang] East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China; [Wang, Shujie] Penn State Univ, Dept Geog, Earth & Environm Syst Inst EESI, University Pk, PA 16802 USA; [Wang, Shujie] Penn State ...
推荐引用方式 GB/T 7714	Shu, Song,Liu, Hongxing,Frappart, Frederic,et al. Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm[J]. French National Research Institute for Sustainable Development, E17,2021,59(6):4733-4748.
APA	Shu, Song.,Liu, Hongxing.,Frappart, Frederic.,Kang, Emily Lei.,Yang, Bo.,...&Hinkel, Kenneth.(2021).Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(6),4733-4748.
MLA	Shu, Song,et al."Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.6(2021):4733-4748.