Employing ground and satellite-based QuickBird data and random forest to discriminate five tree species in a Southern African Woodland

@inproceedings{Adelabu2015EmployingGA,
  title={Employing ground and satellite-based QuickBird data and random forest to discriminate five tree species in a Southern African Woodland},
  author={Samuel Adelabu and Timothy Dube},
  year={2015}
}
  • Samuel Adelabu, Timothy Dube
  • Published 2015
  • Geography
  • With the emergence of very high spatial and spectral resolution data set, the resolution gap that existed between remote-sensing data set and aerial photographs has decreased. The decrease in resolution gap has allowed accurate discrimination of different tree species. In this study, discrimination of indigenous tree species (n = 5) was carried out using ground based hyperspectral data resampled to QuickBird bands and the actual QuickBird imagery for the area around Palapye, Botswana. The… CONTINUE READING

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