Reconstruction of Gap-Free Land Surface Temperature at a 100 m Spatial Resolution from Multidimensional Data: A Case in Wuhan, China.

Wu, Zefeng; Teng, Hongfen; Chen, Haoxiang; Han, Lingyu; Chen, Liangliang

Wu, Zefeng; Teng, Hongfen; Chen, Haoxiang; Han, Lingyu; Chen, Liangliang.

Afiliação

Wu Z; School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Teng H; School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Chen H; Key Laboratory of Agricultural Remote Sensing and Information System, Hangzhou 310058, China.
Han L; College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Chen L; School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

Sensors (Basel) ; 23(2)2023 Jan 12.

Article em En | MEDLINE | ID: mdl-36679709

Assuntos

Algoritmos; Monitoramento Ambiental; Temperatura; Monitoramento Ambiental/métodos; Cidades; China

Palavras-chave

Landsat 8; land surface temperatures; random forest regression; reconstruction; spatial feature

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Monitoramento Ambiental Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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