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    Author(s): Michael Köhl; Charles Scott; Daniel Plugge
    Date: 2013
    Source: In: Mortenson, Leif A.; Halperin, James J.; Manley, Patricia N.; Turner, Rich L., eds. Proceedings of the international workshop on monitoring forest degradation in Southeast Asia. Gen. Tech. Rep. PSW-GTR-246. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: p. 32
    Publication Series: General Technical Report (GTR)
    Station: Pacific Northwest Research Station
    PDF: View PDF  (139.16 KB)

    Description

    Uncertainties are a composite of errors arising from observations and the appropriateness of models. An error budget approach can be used to identify and accumulate the sources of errors to estimate change in emissions between two points in time. Various forest monitoring approaches can be used to estimate the changes in emissions due to deforestation and forest degradation. Sample-based approaches often combine remotely sensed data with probabilistic field samples to develop design-based estimates. The survey designer must choose between a host of imagery sources, sampling designs, plot designs, allometric models of tree biomass, and estimators. Each choice has implications for uncertainty and cost. We describe three general areas for improvement: 1) inventory planning, sampling design optimization, 2) technological development focused on use of imagery, and 3) tree biomass estimation.

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Köhl, Michael; Scott, Charles; Plugge, Daniel. 2013. Uncertainty issues in forest monitoring: All you wanted to know about uncertainties and never dared to ask. In: Mortenson, Leif A.; Halperin, James J.; Manley, Patricia N.; Turner, Rich L., eds. Proceedings of the international workshop on monitoring forest degradation in Southeast Asia. Gen. Tech. Rep. PSW-GTR-246. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: p. 32.

    Keywords

    forest degradation monitoring, Southeast Asia, climate change, carbon

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