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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2026-01-01
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| シリーズ: | Water Resources Research |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1029/2024WR039476 |
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