Remote Sensing Monitoring and Assessment of Global Vegetation Status and Changes during 2016-2020.

Li, Li; Xin, Xiaozhou; Zhao, Jing; Yang, Aixia; Wu, Shanlong; Zhang, Hailong; Yu, Shanshan

Li, Li; Xin, Xiaozhou; Zhao, Jing; Yang, Aixia; Wu, Shanlong; Zhang, Hailong; Yu, Shanshan.

Afiliação

Li L; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Xin X; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Zhao J; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Yang A; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Wu S; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Zhang H; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.
Yu S; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China.

Sensors (Basel) ; 23(20)2023 Oct 13.

Article em En | MEDLINE | ID: mdl-37896545

Assuntos

Ecossistema; Tecnologia de Sensoriamento Remoto; Europa (Continente); Florestas; Mudança Climática

Palavras-chave

global distribution; leaf area index; remote sensing monitoring; vegetation status

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Tecnologia de Sensoriamento Remoto País/Região como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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