Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth

IndroductionEstimating snow depth over Arctic sea ice is essential for understanding climate processes and supporting operational forecasting. Previous work has demonstrated the use of lidar backscattering pathlength moments from Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) for snow depth r...

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Bibliographic Details
Main Authors: Sunny Sun-Mack, Yongxiang Hu, Xiaomei Lu, Yan Chen, Ali Omar
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Remote Sensing
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2025.1591276/full
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