DOI: 10.5194/tc-10-1075-2016
Scopus记录号: 2-s2.0-84971298057
论文题名: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): Potential and limitations
作者: Buhler Y ; , Adams M ; S ; , Bosch R ; , Stoffel A
刊名: Cryosphere
ISSN: 19940416
出版年: 2016
卷: 10, 期: 3 起始页码: 1075
结束页码: 1088
语种: 英语
英文关键词: avalanche
; complex terrain
; data acquisition
; digital photogrammetry
; laser method
; mapping method
; remote sensing
; spatial variation
; spatiotemporal analysis
; unmanned vehicle
; valley
; vertical distribution
; Davos
; Graubunden
; Switzerland
英文摘要: Detailed information on the spatiotemporal snow depth distribution is a crucial input for numerous applications in hydrology, climatology, ecology and avalanche research. Today, snow depth distribution is usually estimated by combining point measurements from weather stations or observers in the field with spatial interpolation algorithms. However, even a dense measurement network like the one in Switzerland, with more than one measurement station per 10 km2 on average, is not able to capture the large spatial variability of snow depth present in alpine terrain. Remote sensing methods, such as laser scanning or digital photogrammetry, have recently been successfully applied to map snow depth variability at local and regional scales. However, in most countries such data acquisition is costly if manned airplanes are involved. The effectiveness of ground-based measurements on the other hand is often hindered by occlusions, due to the complex terrain or acute viewing angles. In this paper, we investigate the application of unmanned aerial systems (UASs), in combination with structure-from-motion photogrammetry, to map snow depth distribution. Compared to manual measurements, such systems are relatively cost-effective and can be applied very flexibly to cover terrain not accessible from the ground. In this study, we map snow depth at two different locations: (a) a sheltered location at the bottom of the Fluëla valley (1900ma.s.l.) and (b) an exposed location on a peak (2500ma.s.l.) in the ski resort Jakobshorn, both in the vicinity of Davos, Switzerland. At the first test site, we monitor the ablation on three different dates. We validate the photogrammetric snow depth maps using simultaneously acquired manual snow depth measurements. The resulting snow depth values have a root mean square error (RMSE) of less than 0.07 to 0.15m on meadows and rocks and a RMSE of less than 0.30m on sections covered by bushes or tall grass, compared to manual probe measurements. This new measurement technology opens the door for efficient, flexible, repeatable and cost-effective snow depth monitoring over areas of several hectares for various applications, if the national and regional regulations permit the application of UASs. © 2016 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75140
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: WSL, Institute for Snow and Avalanche Research, Davos, Switzerland; Austrian Research Centre for Forests, BFW, Innsbruck, Austria; Swiss Federal Institute for Forest, Snow and Landscape Research, WSL, Birmensdorf, Switzerland
Recommended Citation:
Buhler Y,, Adams M,S,et al. Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): Potential and limitations[J]. Cryosphere,2016-01-01,10(3)