A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data

Abstract This research introduces a new deep learning (DL) framework, multi‐head self‐attention‐aided vision Transformer (MSA‐ViT), for soil moisture (SM) retrieval using Cyclone Global Navigation Satellite System (CYGNSS) data. We first assess the sensitivity of CYGNSS reflectivity (Γ) to SM, demon...

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Principais autores:	Qingyun Yan, Yuhan Chen, Yuanjin Pan, Shuanggen Jin, Weimin Huang
格式:	Artigo
語言:	Inglês
出版:	Wiley 2026-01-01
叢編:	Water Resources Research
主題:	soil moisture cygnss deep learning smap
在線閱讀:	https://doi.org/10.1029/2024WR039476
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