Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses

Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses

The application of diffusion theory and Monte Carlo lidar radiative transfer simulations presented in Part I of this series of study suggests that snow depth can be derived from the first-, second- and third-order moments of the lidar backscattering pathlength distribution. These methods are now app...

Full description

Bibliographic Details
Main Authors: Xiaomei Lu, Yongxiang Hu, Xubin Zeng, Snorre A. Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Yuekui Yang, Peng-Wang 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
snow water equivalent
ICESat-2 lidar
pathlength distribution
multiple scattering
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2022.891481/full

Internet

https://www.frontiersin.org/articles/10.3389/frsen.2022.891481/full

Similar Items