Tree species classification; Hyperspectral data; PLS-DA; SVM; RF; Sample selection; Spectral variable selection; CARS

The Use of Airborne Hyperspectral Data for Tree Species Classification in a Species-Rich Central European Forest Area

The success of remote sensing approaches to assess tree species diversity in a heterogeneously mixed forest stand depends on the availability of both appropriate data and suitable classification algorithms. To separate the high number of in total ten …