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Filtering by: Creator McGaughey, Robert J. Peer Reviewed Yes

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,...

Resource Type:

Article
Model-Assisted Forest Yield Estimation with Light Detection and Ranging

Creator:

Strunk, Jacob L., Reutebuch, Stephen E., Andersen, Hans-Erik, Gould, Peter J., and McGaughey, Robert J.

Abstract:

Previous studies have demonstrated that light detection and ranging (LiDAR)-derived variables can be used to model forest yield variables, such as biomass, volume, and number of stems. However, the next step is underrepresented in the literature: estimation of forest yield with appropriate confidence intervals. It is of great importance that...

Resource Type:

Article