Effectiveness of the spectral area index created by three algorithms for tree species recognition
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).
Keywords
WorldView-3 and WorldView-2 data; Polygon area index; Tree species classification; Algorithm effectiveness evaluation; Random forest
Publication
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
Handling Editor
Alexia Stokes