Web URL(s): https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=243 Last checked: 04/23/2020 Requires: PDF Reader Notes: Item is within a single large file
Publication Type:
i
Report
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 managementOther records with the "Integrated turfgrass management" Section Ecophysiology: WaterOther records with the "Ecophysiology: Water" Section
Source: Turfgrass and Environmental Research Program: 2019 Research Summaries . 2019, p. 235-239.
# of Pages: 5
Publishing Information: [New York, New York]: The United States Golf Association Green Section
Keywords: TIC Keywords: Normalized Difference Vegetation Index ; Remote sensing ; Unmanned aerial vehicle ; Water conservation ; Water deficit
Language: English
References: 0
See Also: Other Reports from this USGA research project: 2018-04-654
Note: Pictures, color Figures Tables Graphs
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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Web URL(s): https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=243 Last checked: 04/23/2020 Requires: PDF Reader Notes: Item is within a single large file
MSU catalog number: b3609415
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