Full TGIF Record # 310857
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=243
    Last checked: 04/23/2020
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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, Guo, Escamilla, and Cantu: Texas Tech University; McCall: 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: 2019 Research Summaries. 2019, p. 235-239.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:5
Keywords:TIC Keywords: Normalized Difference Vegetation Index; Remote sensing; Unmanned aerial vehicle; Water conservation; Water deficit
See Also:Other Reports from this USGA research project: 2018-04-654
Note:Pictures, color
USGA Summary Points:The spectral sensors collecting images in this research do not appear to improve our ability to identify drought stress in warm-or cool-season turfgrass fairways. Soil physical properties and water infiltration rates have high spatial variability within a fairway. Preliminary results show slight overestimation of soil moisture from field calibrations of TurfGuard Sensors. Correlating soil physical properties to NDVI from drone imagery will be a novel approach to assist with soil moisture variability and may enhance site-specific management designations. Comparing high-resolution drone imagery to low-resolution satellite imagery will improve recommendations and usefulness for superintendents adopting technology.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Young, J., S. Deb, G. Ritchie, W. Guo, E. Escamilla, J. Cantu, et al. 2019. Enhancing water conservation through remote sensing technology on golf courses. USGA Turfgrass Environ. Res. Summ. p. 235-239.
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    Last checked: 04/23/2020
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MSU catalog number: b3609415
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