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Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation.
Kang, Yanghui; Gao, Feng; Anderson, Martha; Kustas, William; Nieto, Hector; Knipper, Kyle; Yang, Yun; White, William; Alfieri, Joseph; Torres-Rua, Alfonso; Alsina, Maria Mar; Karnieli, Arnon.
Afiliação
  • Kang Y; Hydrology and Remote Sensing Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD USA.
  • Gao F; Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA USA.
  • Anderson M; Hydrology and Remote Sensing Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD USA.
  • Kustas W; Hydrology and Remote Sensing Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD USA.
  • Nieto H; Hydrology and Remote Sensing Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD USA.
  • Knipper K; Complutum Tecnologías de la Información Geográfica S.L. (COMPLUTIG), Alcalá de Henares, Madrid Spain.
  • Yang Y; Sustainable Agricultural Water Systems, US Department of Agriculture, Agricultural Research Service, Davis, CA USA.
  • White W; Hydrology and Remote Sensing Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD USA.
  • Alfieri J; Hydrology and Remote Sensing Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD USA.
  • Torres-Rua A; Hydrology and Remote Sensing Laboratory, US Department of Agriculture, Agricultural Research Service, Beltsville, MD USA.
  • Alsina MM; Department of Civil and Environmental Engineering, Utah State University, Logan, UT USA.
  • Karnieli A; E&J Gallo Winery Viticulture Research, Modesto, USA.
Irrig Sci ; 40(4-5): 531-551, 2022.
Article em En | MEDLINE | ID: mdl-36172252

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article