Tree species identification analysis of the two images (Luoyang and Hohhot of China) shows that the polygonal area indices extracted by the specific band-constrained polygon relative area (algorithm 3, obtained accuracy was ~ 13% higher than that of other algorithms in WorldView-3 and ~ 2% higher in WorldView-2) can effectively improve the classification accuracy of tree species compared to those with a constant polygon relative area constraint (algorithm 2) and without area constraint (algorithm 1) (equal accuracy was obtained by algorithms 1 and 2 in each data).
WorldView-3 and WorldView-2 data; Polygon area index; Tree species classification; Algorithm effectiveness evaluation; Random forest
Liu, H. Effectiveness of the spectral area index created by three algorithms for tree species recognition. Annals of Forest Science 80, 17 (2023). https://doi.org/10.1186/s13595-023-01184-w
Data and/or Code availability
The data sets generated during and/or analysed during the current study are available at https://doi.org/10.5281/zenodo.7089686