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AI-Based Downscaling of MODIS LST Using SRDA-Net Model for High-Resolution Data Generation

Land surface temperature (LST) is a critical parameter in agricultural drought monitoring, crop growth analysis, and climate change research. However, the challenge of acquiring high-resolution LST data with both fine spatial and temporal scales remains a significant obstacle in remote sensing appli...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Hongxia Ma, Kebiao Mao, Zijin Yuan, Longhao Xu, Jiancheng Shi, Zhonghua Guo, Zhihao Qin
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2025-10-01
Saila:Remote Sensing
Gaiak:
Sarrera elektronikoa:https://www.mdpi.com/2072-4292/17/21/3510
Etiketak: Etiketa erantsi
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