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Agricultural Research Service United States Department of Agriculture
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Research Project: REMOTE SENSING FOR CROP AND WATER MANAGEMENT IN IRRIGATED AGRICULTURE

Location: Water Management and Conservation Research

Project Number: 5347-13660-006-00
Project Type: Appropriated

Start Date: Jan 16, 2007
End Date: Jan 15, 2012

Objective:
(1) Determine crop coefficients, adjustment algorithms, and transfer capabilities for improving crop water use estimation of common and alternative crops in arid Southwestern U.S. climates; (2) Develop and verify remote sensing methods and techniques for predicting near real-time evapotranspiration and plant water stress at spatial scales relevant for single fields to watersheds; (3) Develop high resolution remote sensing decision support tools for managing spatially and temporally variable water and nutrient applications to crops.

Approach:
Remote sensing experiments will be conducted in small plots and on production-size fields at The University of Arizona, Maricopa Agricultural Center (MAC). Remote sensing data, including reflectance and emittance, will be collected at regular intervals during the crop growing seasons with aircraft-mounted sensors, as well as with ground-based, handheld instruments. Meteorological and air quality parameters will be obtained from micrometeorological stations installed within the fields. Assessment of air quality at experimental sites will be made in conjunction with remote sensing data collection times. Reference evapotranspiration (ET) data will be provided by local weather stations of the Arizona Meteorological (AZMET) Network. Field data collection will include measurements of soil water contents, soil physical and chemical properties, crop ET, and irrigation water applications. Plant growth observations will include crop growth stage, percent canopy cover, biomass, and crop yield.

   

 
Project Team
Hunsaker, Douglas - Doug
French, Andrew
Thorp, Kelly
 
Project Annual Reports
  FY 2007
 
Publications
   Publications
 
Related National Programs
  Water Availability and Water Management (211)
 
Related Projects
   OPTIMAL LAND SURFACE TEMPERATURE ESTIMATION AND ASSIMILATION FOR GLOBAL HYDROLOGICAL APPLICATIONS
   OPTIMAL SAMPLING DESIGNS TO ESTIMATE SPATIALLY DISTRIBUTED REMOTE SENSING DATA
 
 
Last Modified: 10/19/2008
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