| |
| 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:
| 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 management
Other records with the "Integrated turfgrass management" Section
Ecophysiology: Water
Other records with the "Ecophysiology: Water" Section
|
|---|
| 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
|
|---|
| 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. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=310857 |
| If there are problems with this record, send us feedback about record 310857. |
| Choices for finding the above item: |
|---|
| 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 |
| Find from within TIC:
Digitally in TIC by file name: atrre2019 |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
