J. Meiforth, H. Buddenbaum, J. Hill, J. Shepherd, D. Norton, J. Dymond
University of Canterbury
To distinguish between kauri and non- kauri and also to measure the state of health of kauri using LiDAR and Hyperspectral sensors.
Research has found that the use of hyperspectral, multispectral, LiDAR and satellite imagery can result in a high level of accuracy (>90%) when distinguishing kauri and dead/dying trees from other tree species as well as being a useful tool in measuring stress symptoms in kauri.
Multispectral and imaging have the potential to be used in a baseline monitoring programme in the future both for host detection and for tree health detection.