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ZaldHaroldForestryInfluenceLidarLandsat.pdf

Creator:

Zald, Harold S. J., Ohmann, Janet L., Roberts, Heather M., Gregory, Matthew J., Henderson, Emilie B., McGaughey, Robert J., and Braaten, Justin

Abstract:

This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS) imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were developed for 539,000 ha in the central Oregon Cascades,...

Full Text:

, H. S. J., Ohmann, J. L., Roberts, H. M., Gregory, M. J., Henderson, E. B., McGaughey, R. J
ZaldHaroldForestryInfluenceLidarLandsat_SupplementaryData.pdf

Creator:

Zald, Harold S. J., Ohmann, Janet L., Roberts, Heather M., Gregory, Matthew J., Henderson, Emilie B., McGaughey, Robert J., and Braaten, Justin

Abstract:

This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS) imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were developed for 539,000 ha in the central Oregon Cascades,...

Full Text:

forest composition and structure Harold S.J. Zald, Janet L. Ohmann, Heather M. Roberts, Matthew J