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DOI10.1029/2018WR024533
Comparing Aerial Lidar Observations With Terrestrial Lidar and Snow-Probe Transects From NASA's 2017 SnowEx Campaign
Currier, William Ryan1; Pflug, Justin1; Mazzotti, Giulia2; Jonas, Tobias2; Deems, Jeffrey S.3,4; Bormann, Kat J.5; Painter, Thomas H.5; Hiemstra, Christopher A.6; Gelvin, Arthur6; Uhlmann, Zach7; Spaete, Lucas7; Glenn, Nancy F.7; Lundquist, Jessica D.1
2019-07-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2019
卷号55期号:7页码:6285-6294
文章类型Article
语种英语
国家USA; Switzerland
英文摘要

NASA's 2017 SnowEx field campaign at Grand Mesa, CO, generated Airborne Laser Scans (ALS), Terrestrial Laser Scans (TLS), and snow-probe transects, which allowed for a comparison between snow depth measurement techniques. At six locations, comparisons between gridded ALS and TLS observations, at 1-m resolution, had a median snow depth difference of 5 cm, root-mean-square difference of 16 cm, mean-absolute difference of 10 cm, and 3-cm difference in standard deviation. ALS generally had greater but similar snow depth values to TLS, and results were not sensitive to the gridded cell size between 0.5 and 5 m. The greatest disagreements were where snow-off TLS scans had shrubs and high incidence angles, leading to deeper snow depths (>10 cm) from ALS than TLS. The low vegetation and oblique angles caused occlusion in the TLS data and thus produced higher snow-off bare Earth models relative to the ALS. Furthermore, in subcanopy areas where both ALS and TLS data existed, snow depth differences were comparable to differences in the open. Meanwhile, median values from 52 snow-probe transects and near-coincident ALS data had a mean difference of 6 cm, root-mean-square difference of 8 cm, mean-absolute difference of 7 cm, and a mean difference in the standard deviation of 1 cm. Snow depth probes had greater but similar snow depth values to ALS. Therefore, based on comparisons with TLS and snow depth probes, ALS captured snow depth magnitude with better than or equal agreement to what has been reported in previous studies and showed the ability to capture high-resolution spatial variability.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000481444700062
WOS关键词SOUTHERN SIERRA-NEVADA ; DEPTH DISTRIBUTION ; SCANNING LIDAR ; VEGETATION ; FOREST ; ACCUMULATION ; ELEVATION ; ACCURACY ; ERRORS
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/184883
专题资源环境科学
作者单位1.Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA;
2.WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland;
3.Univ Colorado Boulder, Cooperat Inst Res Environm Sci, Boulder, CO USA;
4.Natl Snow & Ice Data Ctr, Boulder, CO USA;
5.CALTECH, Jet Prop Lab, Pasadena, CA USA;
6.Cold Reg Res & Engn Lab, Ft Wainwright, AK USA;
7.Boise State Univ, Dept Geosci, Boise, ID 83725 USA
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GB/T 7714
Currier, William Ryan,Pflug, Justin,Mazzotti, Giulia,et al. Comparing Aerial Lidar Observations With Terrestrial Lidar and Snow-Probe Transects From NASA's 2017 SnowEx Campaign[J]. WATER RESOURCES RESEARCH,2019,55(7):6285-6294.
APA Currier, William Ryan.,Pflug, Justin.,Mazzotti, Giulia.,Jonas, Tobias.,Deems, Jeffrey S..,...&Lundquist, Jessica D..(2019).Comparing Aerial Lidar Observations With Terrestrial Lidar and Snow-Probe Transects From NASA's 2017 SnowEx Campaign.WATER RESOURCES RESEARCH,55(7),6285-6294.
MLA Currier, William Ryan,et al."Comparing Aerial Lidar Observations With Terrestrial Lidar and Snow-Probe Transects From NASA's 2017 SnowEx Campaign".WATER RESOURCES RESEARCH 55.7(2019):6285-6294.
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