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

CCPortal

DOI	10.5194/tc-2016-11
	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	19940432
卷号	2016
英文摘要	To date, there is no direct approach to map snow depth in mountainous areas from spaceborne sensors. Here, we examine the potential of very-high-resolution (VHR) stereo satellites to this purpose. Two triplets of 70 cm-resolution images were acquired by the Pléiades satellite over an open alpine catchment (14.5 km2) 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-m, 2-m, and 4-m resolutions. The DEMs difference (dDEM) were computed after 3D-coregistration, including a correction of a -0.48 m vertical bias. The bias-corrected dDEMs 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 -0.16 m, with a standard deviation (SD) of 0.58 m at a pixel size of 2 m. We compared the 2 m-Pléiades dDEM to a 2 m-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 (3.1 km2). The UAV-derived snow depth map exhibit the same patterns as the Pléiades-derived snow map. 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 without any field data. © Author(s) 2016.
学科领域	accuracy assessment; airborne sensor; alpine environment; digital elevation model; mapping method; photogrammetry; pixel; Pleiades; precision; probe; radiometric survey; satellite imagery; SIR; snow; software; stereo image; terrain; unmanned vehicle
语种	英语
scopus关键词	accuracy assessment; airborne sensor; alpine environment; digital elevation model; mapping method; photogrammetry; pixel; Pleiades; precision; probe; radiometric survey; satellite imagery; SIR; snow; software; stereo image; terrain; unmanned vehicle
来源期刊	Cryosphere Discussions
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119714
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],2016,2016.
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 Discussions,2016.
MLA	Marti R.,et al."Mapping snow depth in open alpine terrain from stereo satellite imagery".Cryosphere Discussions 2016(2016).