Full TGIF Record # 313719
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=225
    Last checked: 09/02/2021
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Author(s):Young, Joseph; Deb, Sanjit; Ritchie, Glen; Guo, Wenxuan; Escamilla, Eduardo; Cantu, Juan; McCall, David
Author Affiliation:Young, Deb, Ritchie, and Guo: Ph.D. and Texas Tech University; Escamilla and Cantu: Texas Tech University; McCall: Ph.D. and Virginia Tech University
Title:Enhancing water conservation through remote sensing technology on golf courses
Section:Integrated turfgrass management
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Ecophysiology: Water
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Source:Turfgrass and Environmental Research Program: 2020 Research Summaries. 2020, p. 247-249.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:3
See Also:Other Reports from this USGA research project: 2018-04-654
USGA Summary Points:NDVI calculations using these independent sensors do not seem effective at differentiating drought stress in golf course fairways Variability maps of laboratory measured plant available water were developed Moderate correlations between plant available water and soil physical properties (organic matter, clay, and bulk density) were documented Correlating soil physical properties to drone imagery NDVI will be a novel approach to assist with soil moisture variability and may enhance site-specific management designations Results from these analyses are expected to dictate site-specific management practices that can be targeted to specific zones to maximize frequency and benefit of management
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Young, J., S. Deb, G. Ritchie, W. Guo, E. Escamilla, J. Cantu, et al. 2020. Enhancing water conservation through remote sensing technology on golf courses. USGA Turfgrass Environ. Res. Summ. p. 247-249.
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    Last checked: 09/02/2021
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    Notes: Item is within a single large file
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MSU catalog number: b3609415
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