Predictive Mapping of Forest Attributes on the Fishlake National Forest

Tracey S. Frescino; Gretchen G. Moisen

Treesearch

Predictive Mapping of Forest Attributes on the Fishlake National Forest

Informally Refereed

Authors:

Tracey S. Frescino, Gretchen G. Moisen

Year:

2005

Type:

General Technical Report

Station:

Northern Research Station

Source:

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. 215-221

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Abstract

Forest land managers increasingly need maps of forest characteristics to aid in planning and management. A set of 30-m resolution maps was prepared for the Fishlake National Forest by modeling FIA plot variables as nonparametric functions of ancillary digital data. The set includes maps of volume, biomass, growth, stand age, size, crown cover, and various aspen characteristics. Ancillary data layers included pre-classified TM data, raw TM bands, and topographic variables. Predictive models were built using automated multivariate adaptive regression splines (MARS), and refined using local knowledge and digital orthoquads (DOQs). Validation and application issues are discussed.

Parent Publication

Proceedings of the fourth annual Forest Inventory and Analysis symposium

Citation

Frescino, Tracey S.; Moisen, Gretchen G. 2005. Predictive Mapping of Forest Attributes on the Fishlake National Forest. 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. 215-221