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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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Wiley
2026-01-01
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| Reeks: | Water Resources Research |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1029/2024WR039476 |
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