Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data

Douglas Hunsaker, Andrew French, Peter M Waller, Eduardo Bautista, Patrick Royer, Kelly Thorp, Pedro Andrade Sanchez, John Heun

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

Abstract

A spatial soil water balance modelling approach that utilized remote sensing and ground-based data was developed to guide surface irrigation scheduling of farm-size cotton borders in a field experiment in Arizona, USA. The objective was to evaluate spatial estimates of daily crop evapotranspiration (ETc) calculated for small, 4 × 8 m cells within 12 × 168 m cotton borders. Estimated ETc rates during the season compared favourably with ETc data based on soil water content measurements, though underestimating field-based ETc by an average of 0.25-0.46 mm/d. Results suggest that the spatial modelling approach could be a useful decision-making tool for improving irrigation scheduling of surface-irrigated fields.

Original languageEnglish (US)
Title of host publicationIAHS-AISH Publication
Pages414-418
Number of pages5
Volume352
StatePublished - 2012
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: Sep 27 2010Sep 30 2010

Other

OtherRemote Sensing and Hydrology Symposium
CountryUnited States
CityJackson Hole, WY
Period9/27/109/30/10

Fingerprint

cotton
soil water
irrigation
remote sensing
farm size
modeling
evapotranspiration
water budget
water content
decision making
crop
decision
border
field experiment
rate

Keywords

  • Arizona
  • Cotton
  • Crop coefficient
  • Evapotranspiration
  • Irrigation management
  • Maricopa
  • Surface irrigation
  • Vegetation index

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Hunsaker, D., French, A., Waller, P. M., Bautista, E., Royer, P., Thorp, K., ... Heun, J. (2012). Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data. In IAHS-AISH Publication (Vol. 352, pp. 414-418)

Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data. / Hunsaker, Douglas; French, Andrew; Waller, Peter M; Bautista, Eduardo; Royer, Patrick; Thorp, Kelly; Andrade Sanchez, Pedro; Heun, John.

IAHS-AISH Publication. Vol. 352 2012. p. 414-418.

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

Hunsaker, D, French, A, Waller, PM, Bautista, E, Royer, P, Thorp, K, Andrade Sanchez, P & Heun, J 2012, Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data. in IAHS-AISH Publication. vol. 352, pp. 414-418, Remote Sensing and Hydrology Symposium, Jackson Hole, WY, United States, 9/27/10.
Hunsaker D, French A, Waller PM, Bautista E, Royer P, Thorp K et al. Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data. In IAHS-AISH Publication. Vol. 352. 2012. p. 414-418
Hunsaker, Douglas ; French, Andrew ; Waller, Peter M ; Bautista, Eduardo ; Royer, Patrick ; Thorp, Kelly ; Andrade Sanchez, Pedro ; Heun, John. / Irrigation scheduling decision support for field-scale, surface irrigation using remote sensing and ground-based data. IAHS-AISH Publication. Vol. 352 2012. pp. 414-418
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