Extrapolating intensified forest inventory data to the surrounding landscape using landsat

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  • Authors: Brooks, Evan B.; Coulston, John W.; Thomas, Valerie A.; Wynne, Randolph H.
  • Publication Year: 2015
  • Publication Series: Book Chapter
  • Source: In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 213-216.

Abstract

In 2011, a collection of spatially intensified plots was established on three of the Experimental Forests and Ranges (EFRs) sites with the intent of facilitating FIA program objectives for regional extrapolation. Characteristic coefficients from harmonic regression (HR) analysis of associated Landsat stacks are used as inputs into a conditional random forests model to form predictive models of key forest biophysical parameters for use in making wall-to-wall maps.

  • Citation: Brooks, Evan B.; Coulston, John W.; Thomas, Valerie A.; Wynne, Randolph H. 2015. Extrapolating intensified forest inventory data to the surrounding landscape using landsat. In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 213-216.
  • Posted Date: February 10, 2016
  • Modified Date: February 16, 2017
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