DOI: 10.5194/tc-15-69-2021
论文题名: Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping
作者: Eberhard L.A. ; Sirguey P. ; Miller A. ; Marty M. ; Schindler K. ; Stoffel A. ; Bühler Y.
刊名: Cryosphere
ISSN: 19940416
出版年: 2021
卷: 15, 期: 1 起始页码: 69
结束页码: 94
语种: 英语
英文关键词: alpine environment
; comparative study
; EOS
; mapping
; measurement method
; photogrammetry
; satellite data
; snow cover
; spatial analysis
; spatial resolution
; Switzerland
英文摘要: Snow depth has traditionally been estimated based on point measurements collected either manually or at automated weather stations. Point measurements, though, do not represent the high spatial variability in snow depths present in alpine terrain. Photogrammetric mapping techniques have progressed in recent years and are capable of accurately mapping snow depth in a spatially continuous manner, over larger areas and at various spatial resolutions. However, the strengths and weaknesses associated with specific platforms and photogrammetric techniques as well as the accuracy of the photogrammetric performance on snow surfaces have not yet been sufficiently investigated. Therefore, industry-standard photogrammetric platforms, including high-resolution satellite (Pléiades), airplane (Ultracam Eagle M3), unmanned aerial system (eBee+ RTK with SenseFly S.O.D.A. camera) and terrestrial (single lens reflex camera, Canon EOS 750D) platforms, were tested for snow depth mapping in the alpine Dischma valley (Switzerland) in spring 2018. Imagery was acquired with airborne and space-borne platforms over the entire valley, while unmanned aerial system (UAS) and terrestrial photogrammetric imagery was acquired over a subset of the valley. For independent validation of the photogrammetric products, snow depth was measured by probing as well as by using remote observations of fixed snow poles. When comparing snow depth maps with manual and snow pole measurements, the root mean square error (RMSE) values and the normalized median absolute deviation (NMAD) values were 0.52 and 0.47 m, respectively, for the satellite snow depth map, 0.17 and 0.17 m for the airplane snow depth map, and 0.16 and 0.11 m for the UAS snow depth map. The area covered by the terrestrial snow depth map only intersected with four manual measurements and did not generate statistically relevant measurements. When using the UAS snow depth map as a reference surface, the RMSE and NMAD values were 0.44 and 0.38 m for the satellite snow depth map, 0.12 and 0.11 m for the airplane snow depth map, and 0.21 and 0.19 m for the terrestrial snow depth map. When compared to the airplane dataset over a large part of the Dischma valley (40 km2), the snow depth map from the satellite yielded an RMSE value of 0.92 m and an NMAD value of 0.65 m. This study provides comparative measurements between photogrammetric platforms to evaluate their specific advantages and disadvantages for operational, spatially continuous snow depth mapping in alpine terrain over both small and large geographic areas. © 2021 Royal Society of Chemistry. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164679
Appears in Collections: 气候变化与战略
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作者单位: Wsl Institute for Snow and Avalanche Research Slf, Davos Dorf, 7260, Switzerland; Institute of Geodesy and Photogrammetry, Eth Zurich, Zurich, 8092, Switzerland; National School of Surveying, University of Otago, P.O. Box 56, Dunedin, New Zealand; Swiss Federal Institute for Forest, Snow and Landscape Research Wsl, Birmensdorf, 8903, Switzerland
Recommended Citation:
Eberhard L.A.,Sirguey P.,Miller A.,et al. Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping[J]. Cryosphere,2021-01-01,15(1)