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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Water Management and Systems Research » Research » Publications at this Location » Publication #314237

Title: Infrared thermometry and stress monitoring of corn, and sensitivity analysis of reference evapotranspiration to sensor accuracy

Author
item DeJonge, Kendall

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 2/3/2015
Publication Date: 2/12/2015
Citation: Dejonge, K.C. 2015. Infrared thermometry and stress monitoring of corn, and sensitivity analysis of reference evapotranspiration to sensor accuracy. Meeting Abstract. Colorado State University, Soil and Crop Sciences Departmental Seminar, Fort Collins, CO. Feb 12, 2015

Interpretive Summary:

Technical Abstract: Abstract for SOCR seminar: The USDA-ARS Water Management Research Unit in Fort Collins, CO is tasked with maintaining high crop yields under limited water. One focus of this project is to quantify evapotranspiration (ET) and water stress. Canopy temperature methods have been used for decades to quantify water stress via the Crop Water Stress Index (CWSI) and other methods. Recent alternative methods have been developed which require less input data but are highly correlated to CWSI. Additionally, soil texture has an influence on canopy temperature, which plays a role in selecting representative baseline crops and spatial variability. Thermal imaging is a new technology that has promise for use in irrigation management, and some of our methods will be discussed. In regard to quantifying crop ET, using an accurate reference ET value is an important first step. Micrometeorological networks such as CoAgMet in Colorado use an array of sensors to determine crop ET; however these individual sensors have manufacturer quoted accuracy limits, and inaccuracies in individual sensors can culminate in errors in reference ET. Three sensitivity analysis methods (two global and one local) were used to assess reference ET sensitivity to input accuracy, both in semi-arid Colorado and humid Florida. For the Colorado network, the anemometer (wind speed) contributed the most error to reference ET.