Agronomy Journal Journal of Natural Resources and Life Sciences Education
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Published online 1 November 1982
Published in Agron J 74:967-971 (1982)
© 1982 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
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Evaluating the Crop Coefficient Using Spectral Reflectance1

J. L. Heilman, W. E. Heilman and D. G. Moore2

A field study was conducted in four differentially irrigated plots of alfalfa (Medicago sativa L.) planted in Shiprock sandy loam (coarseloamy, mixed, mesic Typic Haplargid) to assess spectral reflectance for estimating the crop coefficient (Kc), defined here as the ratio of actual to potential evapotranspiration (ET). A bidirectional reflectance factor was measured using a three-channel (0.63 to 0.69 µm, 0.76 to 0.90 µm, and 1.55 to 1.75 µm) handheld radiometer, and was used to calculate a perpendicular vegetation index (PVI). Actual ET was determined by the water balance method in non-weighing lysimeters, and potential ET was calculated using Penman's equation.

Significant linear relationships were found between PVI and percent cover (r2 = 0.911), and between Kc and percent cover (r2 = 0.815). In addition, the position of the PVl intersection on the soil background line changed as a result of soil moisture increases following irrigation, even at high percent cover. Thus, once experimental relationships between Kc and crop growth are established, a mean Kc can be determined from spectral estimates of stage of development and the soil background component of PVI can be used to adjust the mean K, for increased evaporation following irrigation because the ratio of actual to potential evapotranspiration will approach 1 when the soil surface is wet.

Key Words: Remote sensing • Evapotranspiration • Irrigation • Soil moisture


1 Technical article No. 17439 from the Texas Agric. Exp. Stn. and Contribution No. SDSU RSI-J-81-01 from the Remote Sensing Institute, South Dakota State University. This research was supported by NASA under Grant No. NAG 5-37.

2 Associate professor, Remote Sensing Center and Dep. of Soil and Crop Sciences, Texas A&M Univ., College Station, TX 77843; graduate research assistant, Dep. of Meteorology, Iowa State Univ., Ames, IA 50010; assistant director, Remote Sensing Institute, South Dakota State Univ., Brookings, SD 57007; Present address of D. G. Moore is Bioscience Applications Branch, EROS Data Center, Sioux Falls, SD 57198.

Received for publication March 12, 1982.


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S. J. Maas and N. Rajan
Estimating Ground Cover of Field Crops Using Medium-Resolution Multispectral Satellite Imagery
Agron. J., February 26, 2008; 100(2): 320 - 327.
[Abstract] [Full Text] [PDF]




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Copyright © 1982 by the American Society of Agronomy.