Scheduling cotton irrigations using remotely-sensed basal crop coefficients and FAO-56

Douglas J. Hunsaker, Paul J. Pinter, Thomas R. Clarke, Glenn J. Fitzgerald, Bruce A. Kimball, Edward M. Barnes, Jeffrey Silvertooth, James Hagler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Techniques to more accurately quantify crop evapotranspiration (ET C) are needed for determining crop water needs and appropriate irrigation scheduling. In this study, remotely sensed observations of the normalized difference vegetation index (NDVI) were used to estimate cotton basal crop coefficients (Kcb), which were then applied within the dual crop coefficient procedures of the Food and Agricultural Organization (FAO), Paper 56 (FAO-56) to calculate daily ETC. An experiment in central Arizona during 2003 compared irrigation scheduling using a remotely sensed Kcb technique (NDVI treatment) with the FAO-56 Kcb curve (FAO treatment). The FAO curve was locally developed for optimum crop conditions and standard cotton density. Final lint yield means were not significantly different between the two irrigation methods, which included sub-treatments of two levels of nitrogen and three plant densities. However, NDVI attained higher yields under low N input, whereas FAO generally had higher yields under high N. The ETC estimated using the NDVI-KCb method was in closer agreement with measured cumulative ETC than the FAO Kcb. For high N treatments, the mean absolute differences between measured and estimated cumulative ETC during the growing season for typical, dense, and sparse populations (10, 20, and 5 plants m-2, respectively) were 4, 17, and 4 mm, respectively, for NDVI, whereas they were10, 32, and 13 mm, respectively, for FAO. Although additional research is needed for improving our remote sensing technique, it potentially offers an improvement over the FAO Kcb curve for quantifying actual ETC.

Original languageEnglish (US)
Title of host publicationASAE Annual International Meeting 2004
Pages1931-1944
Number of pages14
StatePublished - 2004
EventASAE Annual International Meeting 2004 - Ottawa, ON, Canada
Duration: Aug 1 2004Aug 4 2004

Other

OtherASAE Annual International Meeting 2004
CountryCanada
CityOttawa, ON
Period8/1/048/4/04

Fingerprint

Irrigation
Cotton
Crops
Scheduling
Evapotranspiration
Remote sensing
Nitrogen
Water

Keywords

  • Canopy reflectance
  • Evapotranspiration
  • Irrigation requirements
  • Normalized difference vegetation index
  • Soil water content

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hunsaker, D. J., Pinter, P. J., Clarke, T. R., Fitzgerald, G. J., Kimball, B. A., Barnes, E. M., ... Hagler, J. (2004). Scheduling cotton irrigations using remotely-sensed basal crop coefficients and FAO-56. In ASAE Annual International Meeting 2004 (pp. 1931-1944)

Scheduling cotton irrigations using remotely-sensed basal crop coefficients and FAO-56. / Hunsaker, Douglas J.; Pinter, Paul J.; Clarke, Thomas R.; Fitzgerald, Glenn J.; Kimball, Bruce A.; Barnes, Edward M.; Silvertooth, Jeffrey; Hagler, James.

ASAE Annual International Meeting 2004. 2004. p. 1931-1944.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hunsaker, DJ, Pinter, PJ, Clarke, TR, Fitzgerald, GJ, Kimball, BA, Barnes, EM, Silvertooth, J & Hagler, J 2004, Scheduling cotton irrigations using remotely-sensed basal crop coefficients and FAO-56. in ASAE Annual International Meeting 2004. pp. 1931-1944, ASAE Annual International Meeting 2004, Ottawa, ON, Canada, 8/1/04.
Hunsaker DJ, Pinter PJ, Clarke TR, Fitzgerald GJ, Kimball BA, Barnes EM et al. Scheduling cotton irrigations using remotely-sensed basal crop coefficients and FAO-56. In ASAE Annual International Meeting 2004. 2004. p. 1931-1944
Hunsaker, Douglas J. ; Pinter, Paul J. ; Clarke, Thomas R. ; Fitzgerald, Glenn J. ; Kimball, Bruce A. ; Barnes, Edward M. ; Silvertooth, Jeffrey ; Hagler, James. / Scheduling cotton irrigations using remotely-sensed basal crop coefficients and FAO-56. ASAE Annual International Meeting 2004. 2004. pp. 1931-1944
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