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Thermal Imaging Detects Early Drought Stress In Turfgrass Utilizing Small Unmanned Aircraft Systems, Mu Hong, Dale J. Bremer, Deon Van Der Merwe
Thermal Imaging Detects Early Drought Stress In Turfgrass Utilizing Small Unmanned Aircraft Systems, Mu Hong, Dale J. Bremer, Deon Van Der Merwe
Kansas Agricultural Experiment Station Research Reports
Plots of fairway-height creeping bentgrass were watered differently to create a gradient of drought stress from severe deficit irrigation to well-watered, under an automatic rainout shelter in Manhattan, KS. Canopy temperature (Tc) measured by a small unmanned aerial system (sUAS) predicted drought stress approximately 5 days or more before drought symptoms were evident in either turfgrass visual quality (VQ) or percentage green cover (PGC). The ability of Tc to predict drought stress was comparable to the best spectral parameters acquired by sUAS on companion flights [i.e., near infrared (NIR) and GreenBlue VI], and slightly better than with spectral data obtained …
Evaluating Small Unmanned Aerial Systems For Detecting Drought Stress On Turfgrass, Mu Hong, Dale Bremer, Deon Van Der Merwe
Evaluating Small Unmanned Aerial Systems For Detecting Drought Stress On Turfgrass, Mu Hong, Dale Bremer, Deon Van Der Merwe
Kansas Agricultural Experiment Station Research Reports
This study was conducted to evaluate early detection ability of small unmanned aerial systems (sUAS) technology for drought stress on turfgrass. Certain reflectances collected by sUAS and a handheld device declined more in less irrigated treatments before drought stress was evident in visual quality rating (VQ) and percentage green cover (PGC). The near infrared (NIR) band and GreenBlue vegetation index performed the best consistently for drought stress prediction among the other vegetation indices (VI) or bands from sUAS. Results indicate using ultra-high resolution remote sensing with sUAS can detect drought stress as well as, if not better than, a handheld …