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.