An Integrated Framework for Spatiotemporally Merging Multi-Sources Precipitation Based on F-SVD and ConvLSTM

To improve the accuracy and reliability of precipitation estimation, numerous models based on machine learning technology have been developed for integrating data from multiple sources. However, little attention has been paid to extracting the spatiotemporal correlation patterns between satellite pr...

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Detalhes bibliográficos

Principais autores:	Sheng Sheng, Hua Chen, Kangling Lin, Nie Zhou, Bingru Tian, Chong-Yu Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-06-01
coleção:	Remote Sensing
Assuntos:	spatiotemporal fusion machine learning multi-source precipitation ConvLSTM F-SVD
Acesso em linha:	https://www.mdpi.com/2072-4292/15/12/3135
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