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

doi:10.1061/(ASCE)0733-9437(2003)129:1(36)

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

Biosystems Engineering, Research

Research output: Contribution to journal › Article › peer-review

50 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 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.

Original language	English (US)
Pages (from-to)	36-43
Number of pages	8
Journal	Journal of Irrigation and Drainage Engineering
Volume	129
Issue number	1
DOIs	https://doi.org/10.1061/(ASCE)0733-9437(2003)129:1(36)
State	Published - 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)

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10.1061/(ASCE)0733-9437(2003)129:1(36)

Cite this

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title = "Water stress detection under high frequency sprinkler irrigation with water deficit index",

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.",

keywords = "Remote sensing, Sprinkler irrigation, Stress",

author = "Colaizzi, {Paul D.} and Barnes, {Edward M.} and Clarke, {Thomas R.} and Choi, {Christopher Y.} and Waller, {Peter M.} and J. Haberland and Michael Kostrzewski",

year = "2003",

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AU - Colaizzi, Paul D.

AU - Barnes, Edward M.

AU - Clarke, Thomas R.

AU - Choi, Christopher Y.

AU - Waller, Peter M.

AU - Haberland, J.

AU - Kostrzewski, Michael

PY - 2003/1

Y1 - 2003/1

N2 - 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.

AB - 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.

KW - Remote sensing

KW - Sprinkler irrigation

KW - Stress

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

Abstract

Keywords

ASJC Scopus subject areas

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