Retrieval of All-Weather 1 km Land Surface Temperature from Combined MODIS and AMSR2 Data over the Tibetan Plateau

Land surface temperature (LST) is one of the most valuable variables for applications relating to hydrological processes, drought monitoring and climate change. LST from satellite data provides consistent estimates over large scales but is only available for cloud-free pixels, greatly limiting appli...

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Detalles Bibliográficos

Principais autores:	Yanmei Zhong, Lingkui Meng, Zushuai Wei, Jian Yang, Weiwei Song, Mohammad Basir
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-11-01
Series:	Remote Sensing
Assuntos:	land surface temperature all-weather fusion random forest AMSR-2 Tibetan Plateau
Acceso en liña:	https://www.mdpi.com/2072-4292/13/22/4574
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