Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference

@inproceedings{Chen2016ForestAB,
  title={Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference},
  author={Qi Chen and Ronald E. McRoberts and Changwei Wang and Philip J. Radtke},
  year={2016}
}
Article history: Received 14 April 2016 Received in revised form 29 June 2016 Accepted 16 July 2016 Available online xxxx Remotely sensed data have beenwidely used in recent years for mapping and estimating biomass. However, the characterization of the uncertainty of mapped or estimated biomass in previous studies was either based on adhoc approaches (e.g., usingmodel fitting statistics such rootmean square errors derived frompurposive samples) or mostly limited to the analysis of mean biomass… CONTINUE READING
5 Citations
73 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 73 references

Effects of uncertainty in model predictions of individ

  • R. E. 1017–1025. McRoberts, J. A. Westfall
  • 2014
Highly Influential
5 Excerpts

Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density

  • Baccini, A.G.S.J, +9 authors S. Samanta
  • maps. Nat. Clim. Chang
  • 2012
Highly Influential
4 Excerpts

Probability - and model - based approaches to inference for proportion forest using satellite imagery as ancillary data

  • R. E. McRoberts
  • Remote Sens . Environ .
  • 2010
Highly Influential
7 Excerpts

Measurement and monitoring needs, capabilities and potential for addressing reduced emissions from deforestation and forest degradation under REDD+

  • S. J. Goetz, M. Hansen, R. A. Houghton, W. Walker, N. Laporte, J. Busch
  • Environ. Res. Lett
  • 2015
Highly Influential
5 Excerpts

An estimator of variance for two-stage ratio

  • S. Magnussen, E. Næsset, T. Gobakken
  • 2014
Highly Influential
4 Excerpts

Effects of uncertainty in model predictions of individual tree volume on large area volume estimates

  • R. E. McRoberts, J. A. Westfall
  • For . Sci .
  • 2014
Highly Influential
3 Excerpts

Estimation of standing wood volume in forest compartments by exploiting airborne laser scanning information: model-based, design-based, and hybrid perspectives

  • P. Corona, L. Fattorini, S. Franceschi, G. Scrinzi, C. Torresan
  • Can. J. For. Res
  • 2014
Highly Influential
4 Excerpts

Sample-based estimation

  • G. Ståhl, J. Heikkinen, H. Petersson, J. Repola, S. Holm
  • carbon cycle from space. Glob. Chang. Biol
  • 2014
Highly Influential
4 Excerpts

Estimating biomass in Hedmark County, Norway using national forest inventory

  • T. Gobakken, E. Næsset, +6 authors R. Astrup
  • 2012
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…