Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
Sirex grey- and lightning-damaged pine snags were distinguished. The performance of random forest and support vector machines classifiers was compared. The dimensionality of AISA Eagle hyperspectral data was reduced. The performance of random forest and support vector machines classifiers was not significant. Relatively higher overall classification accuracy and less total disagreement were obtained.
hyperspectral data random forest support vector machines sirex grey stage lighting damage pinus spp.