Pixel- and object-based multispectral classification of forest tree species from small unmanned aerial vehicles

@article{Franklin2018PixelAO,
  title={Pixel- and object-based multispectral classification of forest tree species from small unmanned aerial vehicles},
  author={Steven E. Franklin},
  journal={Journal of Unmanned Vehicle Systems},
  year={2018}
}
  • S. Franklin
  • Published 30 July 2018
  • Environmental Science
  • Journal of Unmanned Vehicle Systems
Forest inventory, monitoring, and assessment requires accurate tree species identification and mapping. Recent experiences with multispectral data from small fixed-wing and rotary blade unmanned aerial vehicles (UAVs) suggest a role for this technology in the emerging paradigm of enhanced forest inventory (EFI). In this paper, pixel-based and object-based image analysis (OBIA) methods were compared in UAV-based tree species classification of nine commercial tree species in mature eastern… 
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