Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation

@article{Varvia2017UncertaintyQI,
  title={Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation},
  author={Petri Varvia and Timo L{\"a}hivaara and Matti Maltamo and Petteri Packalen and Timo Tokola and Aku Sepp{\"a}nen},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2017},
  volume={55},
  pages={1671-1681}
}
In this paper, we propose an approach to quantify the plot-level uncertainty in species-specific growing stock volume estimated from airborne laser scanning data and aerial imagery. This is accomplished by adopting the framework of Bayesian inference in the area-based estimation of stock volume. The results show that the proposed approach performs well in quantifying the estimate uncertainty and produces optimal interval estimates for species-specific volumes when sufficient training data are… CONTINUE READING

Similar Papers

References

Publications referenced by this paper.
SHOWING 1-10 OF 54 REFERENCES

and E

R. E. McRoberts, W. B. Cohen, E. Næsset, S. V. Stehman
  • O. Tomppo, “Using remotely sensed data to construct and assess forest attribute maps and related spatial products,” Scand. J. Forest Res., vol. 25, no. 4, pp. 340–367
  • 2010
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

and M

P. Packalén, H. Temesgen
  • Maltamo, “Variable selection strategies for nearest neighbor imputation methods used in remote sensing based forest inventory,” Can. J. Remote Sens., vol. 38, no. 5, pp. 557–569
  • 2012
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data

  • IEEE Transactions on Geoscience and Remote Sensing
  • 2014
VIEW 2 EXCERPTS

and B

J. Vauhkonen, H. O. Ørka, J. Holmgren, M. Dalponte, J. Heinzel
  • Koch, “Tree species recognition based on airborne laser scanning and complementary data sources,” in Forestry Applications of Airborne Laser Scanning. Dordrecht, The Netherlands: Springer
  • 2014
VIEW 3 EXCERPTS

and T

S. Magnussen, E. Næsset
  • Gobakken, “Prediction of tree-size distributions and inventory variables from cumulants of canopy height distributions,” Forestry, vol. 86, no. 5, pp. 583–595
  • 2013
VIEW 2 EXCERPTS