2012
  • Non-ICIMOD publication
No Cover Photo

Share

690 Views
Generated with Avocode. icon 1 Mask color swatch
0 Downloads

Improving Forest Growth Estimation: Bayesian networks for integrating satellite images and process-based forest growth models

  • Mustafa, Y. T.
  • Summary
The study focused on improving forest growth estimates by using GBN to integrate two sources providing forest growth estimates, i.e. 3-PG model and satellite images. Such integration can be applied to different types of forests by giving more attention to remote sensing images. The study concluded that forest growth estimates could be improved using GBNs. Moreover, formulating the EM-algorithm within a GBN can adequately handle missing satellite data and improve estimation of forest growth estimates. Ultimately, this study contributed to provide the means for an accurate and reliable estimation of forest growth estimates.
  • Language:
    English
  • Published Year:
    2012
  • Publisher Name:
    University of Twente, Faculty of Geo-Information and Earth Observation ITC
  • Publisher Place:
    Enschede, Netherlands
  • External Link:
    Download