Publication Details

Variable Selection Strategies for Small-area Estimation Using FIA Plots and Remotely Sensed Data

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Year Published

2005

Publication

In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H.; Cieszewski, Chris J., eds. Proceedings of the fourth annual forest inventory and analysis symposium; Gen. Tech. Rep. NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. 105-109

Abstract

The USDA Forest Service's Forest Inventory and Analysis (FIA) unit maintains a network of tens of thousands of georeferenced forest inventory plots distributed across the United States. Data collected on these plots include direct measurements of tree diameter and height and other variables. We present a technique by which FIA plot data and coregistered remotely sensed raster data were used to predict the basal area of deciduous trees at a spatial resolution of 30 m. Results varied, generally indicating that culling putatively unrelated variables did not improve estimates over those obtained using all the potential variables in the model.

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Citation

Lister, Andrew; Riemann, Rachel; Westfall, James; Hoppus, Mike 2005. Variable Selection Strategies for Small-area Estimation Using FIA Plots and Remotely Sensed Data. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H.; Cieszewski, Chris J., eds. Proceedings of the fourth annual forest inventory and analysis symposium; Gen. Tech. Rep. NC-252. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. 105-109

Last updated on: August 11, 2006