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Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements

Snow is a crucial element in the Earth’s system, but snow depth and mass are very challenging to be measured globally. Here, we provide the theoretical foundation for deriving snow depth directly from space-borne lidar (ICESat-2) snow multiple scattering measurements for the first time. First, based...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Snorre A Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Pengwang Zhai, Meng Gao, Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee, Zachary Fair
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2022-04-01
Schriftenreihe:Frontiers in Remote Sensing
Schlagworte:
snow depth
lidar
average path length
path length distribution
multiple scattering
ICESat-2
Online-Zugang:https://www.frontiersin.org/articles/10.3389/frsen.2022.855159/full
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