TY - JOUR
T1 - Comparing Aerial Lidar Observations with Terrestrial Lidar and Snow-Probe Transects from NASA's 2017 SnowEx Campaign
AU - Currier, William Ryan
AU - Pflug, Justin
AU - Mazzotti, Giulia
AU - Jonas, Tobias
AU - Deems, Jeffrey S.
AU - Bormann, Kat J.
AU - Painter, Thomas H.
AU - Hiemstra, Christopher A.
AU - Gelvin, Arthur
AU - Uhlmann, Zach
AU - Spaete, Lucas
AU - Glenn, Nancy F.
AU - Lundquist, Jessica D.
N1 - Publisher Copyright:
©2019. American Geophysical Union. All Rights Reserved.
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
KW - snow
KW - lidar
KW - hillslope-scale
KW - snow depth
KW - SnowEx
UR - http://www.scopus.com/inward/record.url?scp=85068388542&partnerID=8YFLogxK
UR - https://scholarworks.boisestate.edu/geo_facpubs/491/
U2 - 10.1029/2018WR024533
DO - 10.1029/2018WR024533
M3 - Article
SN - 0043-1397
VL - 55
SP - 6285
EP - 6294
JO - Water Resources Resources
JF - Water Resources Resources
IS - 7
ER -