[Dynamic change and prediction of vegetation cover in Shenzhen, China from 2000 to 2018].

Wu, Bing-Lun; Sun, Hua; Shi, Jun-Nan; Zhang, Yu-Tian; Shi, Ling-Jie

[Dynamic change and prediction of vegetation cover in Shenzhen, China from 2000 to 2018]. / 20002018å¹´æ·±å³å¸æ¤è¢«è¦çå¨æååä¸é¢æµ.

Wu, Bing-Lun; Sun, Hua; Shi, Jun-Nan; Zhang, Yu-Tian; Shi, Ling-Jie.

Afiliação

Wu BL; Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Sun H; Hunan Province Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Changsha 410004, China.
Shi JN; Key Laboratory of National Forestry & Grassland Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China.
Zhang YT; Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Shi LJ; Hunan Province Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Changsha 410004, China.

Ying Yong Sheng Tai Xue Bao ; 31(11): 3777-3785, 2020 Nov.

Article em Zh | MEDLINE | ID: mdl-33300728

Assuntos

Conservação dos Recursos Naturais; Urbanização; China

Palavras-chave

CA-Markov model; Shenzhen City; center of gravity change; percentage of vegetation cover; prediction

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Urbanização / Conservação dos Recursos Naturais Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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