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A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory

Deep learning (DL) based methods have recently made remarkable progress in remote sensing (RS) soil moisture (SM) retrieval applications. However, their purely “black box” algorithms suffer from a lack of interpretability, whereas methods based solely on physical mechanisms often underperform in com...

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Principais autores: Mengyuan Xu, Haoxuan Yang, Annan Hu, Lee Heng, Linyi Li, Ning Yao, Gang Liu
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-02-01
coleção:International Journal of Applied Earth Observations and Geoinformation
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Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1569843225000172
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