Land surface emissivity retrieval from SDGSAT-1: comparison of LSE products with different spatial resolutions

ABSTRACTLand surface emissivity (LSE) represents an essential parameter for understanding land change and surface energy balance. While numerous algorithms have been proposed to retrieve LSE, they are seldom applied to remote sensing data with high spatial resolution. The SDGSAT-1 satellite provides...

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Detalhes bibliográficos

Principais autores:	Xue Zhong, Lihua Zhao, Peng Ren, Jie Wang, Yingtan Li, Xiang Zhang, Chaobin Luo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2024-12-01
Colecção:	International Journal of Digital Earth
Assuntos:	SDGSAT-1 high spatial resolution LSE NDVI-based emissivity methods (NBEMs) Landsat 8 ECOSTRESS MODIS
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/17538947.2023.2297940
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