Figure 4.


Figure 4. Characterizing trees in the center landscape of the National Environmentally Sound Production Agricultural Laboratory (NESPAL) at University of Georgia Tifton campus.


Another preliminary experiment to estimate levels of shade in home lawns using drone images was conducted in the center landscape area of the National Environmentally Sound Production Agricultural Laboratory (NESPAL) at the University of Georgia Tifton campus. A DJI Phantom 4 Pro V2 was flown at 100 feet with a double grid flight plan in combination with ground-based light intensity measurements taken using a Quantum Meter at several locations. Te integration of 2D images and 3D models combined with ground level information provided the sizes of the large trees (Figure 4), the impact of neutral and tree shade, and even helped predict areas that are better off with landscape alternatives (Figure 5). Tis information would be extremely helpful for landscape design and renovations, and might even be a powerful remote management tool.


Today, we are confident in our ability to detect, georeference, and quantify plant damage that has resulted in brown leaves. Tis could be from flooding, drought, herbicide injury, or an untold number of other events. We can regularly monitor plant health and predict shade patterns in landscapes, however the work is far from over.


TPI Turf News March/April 2019


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