Search Results - Czaplewski, R.L.

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  1. 1
    Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information

    Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information by Blackard, J.A., Finco, M.V., Helmer, E.H., Holden, G.R., Hoppus, M.L., Jacobs, D.M., Lister, A.J., Moisen, G.G., Nelson, M.D., Riemann, R., Ruefenacht, B., Salajanu, D., Weyermann, D.L, Winterberger, K.C., Brandeis, T.J., Czaplewski, R.L., McRoberts, R.E., Patterson, P.L., Tymcio, R.P.

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  2. 2
    Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles

    Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles by Stehman, Stephen V., Czaplewski, Raymond L.

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  3. 3
    Variance estimates and confidence intervals for the Kappa measure of classification accuracy

    Variance estimates and confidence intervals for the Kappa measure of classification accuracy by KALKHAN, M. A, REICH, R. M, CZAPLEWSKI, R. L

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  4. 4
    Adaptive monitoring design for ecosystem management

    Adaptive monitoring design for ecosystem management by Ringold, Paul L., Alegria, Jim, Czaplewski, Raymond L., Mulder, Barry S., Tolle, Tim, Burnett, Kelly

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  5. 5
    Multistage remote sensing toward an annual national inventory

    Multistage remote sensing toward an annual national inventory by Czaplewski, R.L

    Published in Journal of forestry
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  6. 6
    National forest inventory in the USA: an outline of the procedure

    National forest inventory in the USA: an outline of the procedure by Spencer, R.D, Czaplewski, R.L

    Published in Australian forestry
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  7. 7
    Evaluation of weighted regression and sample size in developing a taper model for loblolly pine

    Evaluation of weighted regression and sample size in developing a taper model for loblolly pine by Cormier, Kenneth L., Reich, Robin M., Czaplewski, Raymond L., Bechtold, William A.

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  8. 8
    Variance Estimates and Confidence Intervals for the Kappa Measure of Classification Accuracy

    Variance Estimates and Confidence Intervals for the Kappa Measure of Classification Accuracy by Kalkhan, M.A., Reich, R.M., Czaplewski, R.L.

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