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Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery by Kasper Johansen; Qibin Duan; Yu-Hsuan Tu; Chris Searle; Dan Wu; Stuart Phinn; Andrew Robson; Matthew F. McCabe is a Environmental Science article available to read on EtoBox.

What is Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery about?

Australia is one of the world's largest producers of macadamia nuts. As macadamia trees can take up to 15 years to mature and produce maximum yield, it is important to optimize tree condition. Field based assessment of macadamia tree condition is time-consuming and often inconsistent. Using remotely sensed imagery may allow for faster, more extensive, and more consistent assessment of macadamia tree condition. To identify individual macadamia tree crowns, high spatial resolution imagery is required. Hence, the objective of this work was to develop and test an approach to map the condition of individual macadamia tree crowns using both multispectral Unmanned Aerial Vehicle (UAV) and WorldView-3 imagery for different macadamia varieties and three different sites located near Bundaberg, Australia. A random forest classifier, based on all available spectral bands and selected vegetation indices was used to predict five condition categories, ranging from excellent (category 1) to poor (category 5). Various combinations of the developed models were tested between the three sites and over time. The results showed that the multi-spectral WorldView-3 imagery produced the lowest out of bag (

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Author

Kasper Johansen; Qibin Duan; Yu-Hsuan Tu; Chris Searle; Dan Wu; Stuart Phinn; Andrew Robson; Matthew F. McCabe

Published

2020

Language

EN

Field

Environmental Science (Physical Sciences)