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A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture.
Babaeian, Ebrahim; Sidike, Paheding; Newcomb, Maria S; Maimaitijiang, Maitiniyazi; White, Scott A; Demieville, Jeffrey; Ward, Richard W; Sadeghi, Morteza; LeBauer, David S; Jones, Scott B; Sagan, Vasit; Tuller, Markus.
Afiliación
  • Babaeian E; Department of Environmental Science, The University of Arizona, Tucson, AZ, United States.
  • Sidike P; Department of Electrical and Computer Engineering, Purdue University Northwest, Hammond, IN, United States.
  • Newcomb MS; School of Plant Sciences, The University of Arizona, Tucson, AZ, United States.
  • Maimaitijiang M; Department of Earth and Atmospheric Science, Saint Louis University, St. Louis, MO, United States.
  • White SA; Department of Environmental Science, The University of Arizona, Tucson, AZ, United States.
  • Demieville J; School of Plant Sciences, The University of Arizona, Tucson, AZ, United States.
  • Ward RW; School of Plant Sciences, The University of Arizona, Tucson, AZ, United States.
  • Sadeghi M; Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN, United States.
  • LeBauer DS; Arizona Experiment Station, The University of Arizona, Tucson, AZ, United States.
  • Jones SB; Department of Plants, Soils and Climate, Utah State University, Logan, UT, United States.
  • Sagan V; Department of Earth and Atmospheric Science, Saint Louis University, St. Louis, MO, United States.
  • Tuller M; Department of Environmental Science, The University of Arizona, Tucson, AZ, United States.
Front Big Data ; 2: 37, 2019.
Article en En | MEDLINE | ID: mdl-33693360
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Big Data Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Big Data Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza