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Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape.
DuBois, Sean; Desai, Ankur R; Singh, Aditya; Serbin, Shawn P; Goulden, Michael L; Baldocchi, Dennis D; Ma, Siyan; Oechel, Walter C; Wharton, Sonia; Kruger, Eric L; Townsend, Philip A.
Afiliação
  • DuBois S; ICF, Fairfax, Virginia, 22031, USA.
  • Desai AR; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.
  • Singh A; Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.
  • Serbin SP; Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.
  • Goulden ML; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.
  • Baldocchi DD; Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, 32611, USA.
  • Ma S; Environment and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, 11973, USA.
  • Oechel WC; Department of Earth System Science, University of California-Irvine, Irvine, California, 92697, USA.
  • Wharton S; Department of Environmental Science, Policy, and Management, University of California-Berkeley, Berkeley, California, 94720, USA.
  • Kruger EL; Department of Environmental Science, Policy, and Management, University of California-Berkeley, Berkeley, California, 94720, USA.
  • Townsend PA; Department of Biology, San Diego State University, San Diego, California, 92182, USA.
Ecol Appl ; 28(5): 1313-1324, 2018 07.
Article em En | MEDLINE | ID: mdl-29694698
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Análise Espectral / Ecossistema / Secas / Tecnologia de Sensoriamento Remoto Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Ecol Appl Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Análise Espectral / Ecossistema / Secas / Tecnologia de Sensoriamento Remoto Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Ecol Appl Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos