Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest

•We used ALS and IS for individual tree health mapping (i.e. dieback).•We classified individual tree health with a kappa score of 0.66.•ALS, followed by IS variables were the important predictors in classifications.•Intensity and PCs were the most important ALS and IS variables, respectively.•Tree dieback occurred primarily in areas that were infrequently flooded.