Downscaling Land Surface Temperature Based on Non-Linear Geographically Weighted Regressive Model over Urban Areas

Land surface temperature (LST) is a vital physical parameter in geoscience research and plays a prominent role in surface and atmosphere interaction. Due to technical restrictions, the spatiotemporal resolution of satellite remote sensing LST data is relatively low, which limits the potential applic...

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Detalhes bibliográficos

Principais autores:	Shumin Wang, Youming Luo, Xia Li, Kaixiang Yang, Qiang Liu, Xiaobo Luo, Xiuhong Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-04-01
coleção:	Remote Sensing
Assuntos:	land surface temperature (LST) non-linear geographically weighted regressive (NL-GWR) spatial downscaling indices selection
Acesso em linha:	https://www.mdpi.com/2072-4292/13/8/1580
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