Water stress detection under high frequency sprinkler irrigation with water deficit index

Paul D. Colaizzi, Edward M. Barnes, Thomas R. Clarke, Christopher Y. Choi, Peter M. Waller, J. Haberland, Michael Kostrzewski

Research output: Contribution to journalArticle

40 Scopus citations

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 Ks 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.

Original languageEnglish (US)
Pages (from-to)36-43
Number of pages8
JournalJournal of Irrigation and Drainage Engineering
Volume129
Issue number1
DOIs
StatePublished - Jan 2003

Keywords

  • Remote sensing
  • Sprinkler irrigation
  • Stress

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology
  • Agricultural and Biological Sciences (miscellaneous)

Fingerprint Dive into the research topics of 'Water stress detection under high frequency sprinkler irrigation with water deficit index'. Together they form a unique fingerprint.

  • Cite this