气候变化领域集成服务门户(CCPortal): Mapping snow depth in open alpine terrain from stereo satellite imagery

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DOI	10.5194/tc-10-1361-2016
	Mapping snow depth in open alpine terrain from stereo satellite imagery
	Marti R.; Gascoin S.; Berthier E.; De Pinel M.; Houet T.; Laffly D.
发表日期	2016
ISSN	19940416
卷号	10 期号:4
英文摘要	To date, there is no definitive approach to map snow depth in mountainous areas from spaceborne sensors. Here, we examine the potential of very-high-resolution (VHR) optical stereo satellites to this purpose. Two triplets of 0.70m resolution images were acquired by the Pléiades satellite over an open alpine catchment (14.5km2) under snow-free and snow-covered conditions. The open-source software Ame's Stereo Pipeline (ASP) was used to match the stereo pairs without ground control points to generate raw photogrammetric clouds and to convert them into high-resolution digital elevation models (DEMs) at 1, 2, and 4m resolutions. The DEM differences (dDEMs) were computed after 3-D coregistration, including a correction of a -0.48m vertical bias. The bias-corrected dDEM maps were compared to 451 snow-probe measurements. The results show a decimetric accuracy and precision in the Pléiades-derived snow depths. The median of the residuals is -0.16m, with a standard deviation (SD) of 0.58m at a pixel size of 2m. We compared the 2m Pléiades dDEM to a 2m dDEM that was based on a winged unmanned aircraft vehicle (UAV) photogrammetric survey that was performed on the same winter date over a portion of the catchment (3.1km2). The UAV-derived snow depth map exhibits the same patterns as the Pléiades-derived snow map, with a median of -0.11m and a SD of 0.62m when compared to the snow-probe measurements. The Pléiades images benefit from a very broad radiometric range (12 bits), allowing a high correlation success rate over the snow-covered areas. This study demonstrates the value of VHR stereo satellite imagery to map snow depth in remote mountainous areas even when no field data are available. © Author(s) 2016.
学科领域	airborne sensor; alpine environment; depth determination; digital elevation model; geological mapping; photogrammetry; pixel; Pleiades; satellite imagery; snow cover; software; terrain; unmanned vehicle
语种	英语
scopus关键词	airborne sensor; alpine environment; depth determination; digital elevation model; geological mapping; photogrammetry; pixel; Pleiades; satellite imagery; snow cover; software; terrain; unmanned vehicle
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/119626
作者单位	Géographie de l'Environnement (GEODE), UT2J/CNRS, Toulouse, France; Centre d'Etudes Spatiales de la Biosphère (CESBIO), UPS/CNRS/IRD/CNES, Toulouse, France; Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), UPS/CNRS/IRD/CNES, Toulouse, France; GeoFalco, Longages, France
推荐引用方式 GB/T 7714	Marti R.,Gascoin S.,Berthier E.,et al. Mapping snow depth in open alpine terrain from stereo satellite imagery[J],2016,10(4).
APA	Marti R.,Gascoin S.,Berthier E.,De Pinel M.,Houet T.,&Laffly D..(2016).Mapping snow depth in open alpine terrain from stereo satellite imagery.Cryosphere,10(4).
MLA	Marti R.,et al."Mapping snow depth in open alpine terrain from stereo satellite imagery".Cryosphere 10.4(2016).