Water Stress Detection Under High Frequency Sprinkler Irrigation with Water Deficit Index

Authors

Paul D. Colaizzi, USDA-ARSFollow
Edward M. Barnes, USDA-ARS
Thomas R. Clarke, USDA-ARS
Christopher Y. Choi, University of ArizonaFollow
Peter M. Waller, University of Arizona
J. Haberland, University of Arizona
Michael Kostrzewski, University of Arizona

Document Type

Article

Date of this Version

2-1-2003

Citation

Journal of Irrigation and Drainage Engineering, Vol. 129, No. 1, February 1, 2003, DOI: 10.1061/(ASCE)0733-9437(2003)129:1(36).

Comments

U.S. government work.

Abstract

A remote sensing package called the agricultural irrigation imaging system (AgIIS) aboard a linear move irrigation system was developed to simultaneously monitor water status, nitrogen status, and canopy density at one-meter spatial resolution. The present study investigated the relationship between water status detected by AgIIS and soil moisture for the 1999 cotton (Gossypium hirsutum, Delta Pine 90b) season in Maricopa, Ariz. Water status was quantified by the water deficit index (WDI), an expansion of the crop water stress index where the influence of soil temperature is accounted for through a linear mixing model of soil and vegetation temperature. The WDI was best correlated to soil moisture through the FAO 56 water stress coefficient K_s model; stability correction of aerodynamic resistance did not improve correlation. The AgIIS did provide field images of the WDI that might aid irrigation scheduling and increase water use efficiency.