Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements

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...

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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Remote Sensing
Subjects:
snow depth
lidar
average path length
path length distribution
multiple scattering
ICESat-2
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2022.855159/full

Internet

https://www.frontiersin.org/articles/10.3389/frsen.2022.855159/full

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