Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty

Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty

Vegetation water content (VWC) is a crucial parameter for understanding vegetation dynamics and hydrological cycle on Earth. With rapid climate changes in recent years, monitoring VWC with high spatiotemporal coverage on a global scale is of paramount importance. Yet, traditional <italic>in si...

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Bibliographic Details
Main Authors: Daixin Zhao, Milad Asgarimehr, Konrad Heidler, Jens Wickert, Xiao Xiang Zhu, Lichao Mou
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Cyclone global navigation satellite system (CYGNSS)
dataset
deep learning
earth observation
global navigation satellite system reflectometry (GNSS-R)
uncertainty
Online Access:https://ieeexplore.ieee.org/document/11059866/
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