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ARS Home » Plains Area » Bushland, Texas » Conservation and Production Research Laboratory » Soil and Water Management Research » Research » Publications at this Location » Publication #226890
Title: Estimating crop canopy coverage of cotton plants within the FOV of an infrared thermometer using a two band photodiode sensor

Author
item Oshaughnessy, Susan
item Evett, Steven - Steve
item Colaizzi, Paul
item Howell, Terry
item Gowda, Prasanna

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/3/2008
Publication Date: 10/5/2008
Citation: Oshaughnessy, S.A., Evett, S.R., Colaizzi, P.D., Howell, T.A., Gowda, P. 2008. Estimating crop canopy coverage of cotton plants within the FOV of an infrared thermometer using a two band photodiode sensor [abstract]. 2008 Joint Meeting of American Society of Agronomy, Soil Science Society of America, and Crop Science Society of America, October 5-9, 2008, Houston, Texas. Paper No. 619-2. 2008 CD ROM.

Interpretive Summary:

Technical Abstract: The majority of irrigated area in the Southern High Plains region of Texas is by center pivot systems; all are drawing water from the Ogallala Aquifer. Automating the center pivot system to schedule irrigations automatically based on crop canopy temperature measured with infrared thermometers (IRT), may improve water use efficiency and reduce Ogallala withdrawals. Although canopy-temperature-based methods have been used with success, there exists the possibility of false positive irrigation cues early in the growing season due to the contribution of high temperatures from background soil. The composite surface temperature must be partitioned into its soil and canopy components based on the fraction of vegetation appearing in the IRT field of view. The objectives of this study were to use reflectance measured with a two band photodiode sensor (680 nm and 970 nm) to calculate the normalized difference vegetative index (NDVI) within the same FOV as an IRT measuring crop canopy temperature, and to estimate the fraction of vegetation using NDVI. Preliminary results demonstrated that photodiode sensors constructed in-house provided stable and linear measurements (r**2 = 0.99) with respect to daily incident solar radiation (W m**-2) in the field.