Reconstruction of all-weather land surface temperature based on a combined physical and data-driven model.

Zhang, Xuepeng; Gou, Peng; Zhang, Fengjiao; Huang, Yingshuang; Wang, Zhe; Li, Guangchao; Xing, Jianghe

Zhang, Xuepeng; Gou, Peng; Zhang, Fengjiao; Huang, Yingshuang; Wang, Zhe; Li, Guangchao; Xing, Jianghe.

Afiliación

Zhang X; Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, 314000, China. 996588861@QQ.com.
Gou P; Beijing Big Data Advanced Technology Institute, Beijing, 100871, China. 996588861@QQ.com.
Zhang F; Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, 314000, China.
Huang Y; College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, 100083, China.
Wang Z; Research Center of Big Data Technology, Nanhu Laboratory, Jiaxing, 314000, China.
Li G; School of Urban Planning and Design, Peking University Shenzhen Graduate School, Peking University, Shenzhen, 518055, Guangdong, China.
Xing J; College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, 100083, China.

Environ Sci Pollut Res Int ; 30(32): 78865-78878, 2023 Jul.

Article en En | MEDLINE | ID: mdl-37278893

Asunto(s)

Monitoreo del Ambiente; Modelos Teóricos; Temperatura; Monitoreo del Ambiente/métodos; Beijing; China

Palabras clave

All weather; Data-driven; Land surface temperature; MODIS; Physical model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Modelos Teóricos País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania

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