Assessment on the declining degree of farmland shelter forest in a desert oasis based on LiDAR and hyperspectrum imagery.

Yang, Yu-Li; Xiao, Hui-Jie; Xin, Zhi-Ming; Fan, Guang-Peng; Li, Jun-Ran; Jia, Xiao-Xiao; Wang, Li-Tao

Yang, Yu-Li; Xiao, Hui-Jie; Xin, Zhi-Ming; Fan, Guang-Peng; Li, Jun-Ran; Jia, Xiao-Xiao; Wang, Li-Tao.

Afiliação

Yang YL; School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Xiao HJ; School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Xin ZM; Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, Inner Mongolia, China.
Fan GP; School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China.
Li JR; Department of Geography, The University of Hong Kong, Hong Kong 999077, China.
Jia XX; School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.
Wang LT; School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China.

Ying Yong Sheng Tai Xue Bao ; 34(4): 1043-1050, 2023 Apr.

Article em En | MEDLINE | ID: mdl-37078324

Assuntos

Clima Desértico; Fazendas; Florestas; Populus

Palavras-chave

LiDAR; degree of recession; hyperspectrum; random forest model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Populus / Clima Desértico / Fazendas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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