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Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: Theoretical basis.
Yang, Bin; Knyazikhin, Yuri; Mõttus, Matti; Rautiainen, Miina; Stenberg, Pauline; Yan, Lei; Chen, Chi; Yan, Kai; Choi, Sungho; Park, Taejin; Myneni, Ranga B.
Afiliação
  • Yang B; Department of Earth and Environment, Boston University, Boston, MA 02215, USA.
  • Knyazikhin Y; Beijing Key Laboratory of Spatial Information Integration and 3S Application, School of Earth and Space Sciences, Peking University, Beijing 100871, China.
  • Mõttus M; Department of Earth and Environment, Boston University, Boston, MA 02215, USA.
  • Rautiainen M; VTT Technical Research Centre of Finland, PO Box 1000, FI-02044 VTT, Finland.
  • Stenberg P; Aalto University, School of Engineering, Department of Built Environment, P.O. Box 14100, FI-00076 Aalto, Finland.
  • Yan L; Aalto University, School of Electrical Engineering, Department of Electronics and Nanoengineering, P.O. Box 13000, FI-00076 Aalto, Finland.
  • Chen C; Department of Forest Sciences, University of Helsinki, P.O. Box 27, FI-00014, Finland.
  • Yan K; Beijing Key Laboratory of Spatial Information Integration and 3S Application, School of Earth and Space Sciences, Peking University, Beijing 100871, China.
  • Choi S; Department of Earth and Environment, Boston University, Boston, MA 02215, USA.
  • Park T; Department of Earth and Environment, Boston University, Boston, MA 02215, USA.
  • Myneni RB; School of Geography, Beijing Normal University, Beijing 100875, China.
Remote Sens Environ ; 198: 69-84, 2017 Sep 01.
Article em En | MEDLINE | ID: mdl-28867834
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Remote Sens Environ Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Remote Sens Environ Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos