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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 |
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| Publication Type:
| Report |
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| Author(s): | Young, Joseph;
Deb, Sanjit;
Ritchie, Glen;
Guo, Wenxuan;
Escamilla, Eduardo;
Cantu, Juan;
McCall, David |
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| Author Affiliation: | Young, Deb, Ritchie, Guo, Escamilla, and Cantu: Texas Tech University; McCall: Virginia Tech University |
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| Title: | Enhancing water conservation through remote sensing technology on golf courses |
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| Section: | Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section
Ecophysiology: Water
Other records with the "Ecophysiology: Water" Section
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| Source: | Turfgrass and Environmental Research Program: 2019 Research Summaries. 2019, p. 235-239. |
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| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
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| # of Pages: | 5 |
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| Keywords: | TIC Keywords: Normalized Difference Vegetation Index; Remote sensing; Unmanned aerial vehicle; Water conservation; Water deficit
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| Language: | English |
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| References: | 0 |
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| See Also: | Other Reports from this USGA research project: 2018-04-654 |
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| Note: | Pictures, color
Figures
Tables
Graphs |
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| 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. |
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| 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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