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Global exacerbation of episodic local vegetation greenness decline since the 21st century.
Du, Ruohua; Wu, Jianjun; Yang, Jianhua; Tian, Feng; Chen, Meng; Mao, Ting.
Afiliação
  • Du R; State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China.
  • Wu J; State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China. Electronic address:
  • Yang J; State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China.
  • Tian F; State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China.
  • Chen M; State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China.
  • Mao T; State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China.
Sci Total Environ ; 840: 156411, 2022 Sep 20.
Article em En | MEDLINE | ID: mdl-35660428
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Clima / Ecossistema Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Clima / Ecossistema Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article