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Filtering by: Creator Gregory, Matthew J. Creator McGaughey, Robert J.

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,...
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,...
Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure

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,...

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Article

ScholarsArchive@OSU

ZaldHaroldForestryInfluenceLidarLandsat.pdf

ZaldHaroldForestryInfluenceLidarLandsat_SupplementaryData.pdf

Influence of lidar, Landsat imagery, disturbance history, plot location accuracy, and plot size on accuracy of imputation maps of forest composition and structure

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