Full TGIF Record # 285065
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Web URL(s):http://archive.lib.msu.edu/tic/ressum/2015/126.pdf
    Last checked: 06/02/2017
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Author(s):Bremer, Dale; van der Merwe, Deon; Fry, Jack; Keeley, Steve; Hoyle, Jared; Kennelly, Megan; Price, Kevin
Author Affiliation:Kansas State University
Title:Evaluating small unmanned aircraft systems for detecting turfgrass stress with an emphasis on drought
Section:Integrated turfgrass management: Sustainable management
Other records with the "Integrated turfgrass management: Sustainable management" Section
Source:Turfgrass and Environmental Research Program: 2015 Research Summaries. 2015, p. 126-130.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:5
Keywords:TIC Keywords: Drought stress; Equipment evaluation; Stress monitors; Technology; Unmanned aerial vehicles
See Also:Other Reports from this USGA research project: 2015-16-531
Pictures, color
USGA Summary Points:At the end of the study (31 Aug), no differences in turf quality were visible between the 100 and 65% ET treatments (Fig. 5B and 5C). However, soil moisture was less at 65% than 100% ET (Fig. 5A). The only measurements that detected differences in vegetative properties between 100 and 65% ET treatments on 31 Aug. were the NIR band and GreenBlue vegetation index (Fig. 3, 4, 5E, and 5F). This indicates using ultra-high resolution remote sensing with small UAS has potential to detect drought stress before it is visible to the human eye. Preliminary measurements of a functioning golf course revealed interesting differences in the turfgrass between summer and fall (Fig. 6).
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Bremer, D., D. van der Merwe, J. Fry, S. Keeley, J. Hoyle, M. Kennelly, et al. 2015. Evaluating small unmanned aircraft systems for detecting turfgrass stress with an emphasis on drought. USGA Turfgrass Environ. Res. Summ. p. 126-130.
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    Last checked: 06/02/2017
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MSU catalog number: b3609415
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