DOI: 10.5194/tc-10-1361-2016
Scopus记录号: 2-s2.0-84977600695
论文题名: Mapping snow depth in open alpine terrain from stereo satellite imagery
作者: Marti R ; , Gascoin S ; , Berthier E ; , De Pinel M ; , Houet T ; , Laffly D
刊名: Cryosphere
ISSN: 19940416
出版年: 2016
卷: 10, 期: 4 起始页码: 1361
结束页码: 1380
语种: 英语
英文关键词: airborne sensor
; alpine environment
; depth determination
; digital elevation model
; geological mapping
; photogrammetry
; pixel
; Pleiades
; satellite imagery
; snow cover
; software
; terrain
; unmanned vehicle
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75122
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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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
Recommended Citation:
Marti R,, Gascoin S,, Berthier E,et al. Mapping snow depth in open alpine terrain from stereo satellite imagery[J]. Cryosphere,2016-01-01,10(4)