Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes

@article{Yu2010ComparisonOA,
  title={Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes},
  author={Xiaowei Yu and Juha Hyypp{\"a} and Markus Holopainen and Mikko Vastaranta},
  journal={Remote Sensing},
  year={2010},
  volume={2},
  pages={1481-1495}
}
Approaches to deriving forest information from laser scanner data have generally made use of two methods: the area-based and individual tree-based approaches. In this paper, these two methods were evaluated and compared for their abilities to predict forest attributes at the plot level using the same datasets. Airborne laser scanner data were collected over the Evo forest area, southern Finland, with an averaging point density of 2.6 points/m. Mean height, mean diameter and volume were… CONTINUE READING
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