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Kalman filter to update forest cover estimates

Informally Refereed
Authors: Raymond L. Ph.D..Czaplewski
Year: 1990
Type: General Technical Report (GTR)
Station: Rocky Mountain Research Station
Source: In: LaBau, Vernon J.; Cunia, Tiberius, tech. eds. State-of-the-art methodology of forest inventory: a symposium proceedings. Gen. Tech. Rep. PNW-GTR-263. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 457-465.

Abstract

The Kalman filter is a statistical estimator that combines a time-series of independent estimates, using a prediction model that describes expected changes in the state of a system over time. An expensive inventory can be updated using model predictions that are adjusted with more recent, but less expensive and precise, monitoring data. The concepts of the Kalman filter are explained with a simple, hypothetical example of estimating percentage of forest cover over time, using remote sensing and field plots from a forest inventory.

Parent Publication

Keywords

Kalman filter, estimates, forest cover, inventory

Citation

Czaplewski, Raymond L. 1990. Kalman filter to update forest cover estimates. In: LaBau, Vernon J.; Cunia, Tiberius, technical editors. State-of-the-art methodology of forest inventory: a symposium proceedings. Gen. Tech. Rep. PNW-GTR-263. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 457-465.
https://www.fs.usda.gov/research/treesearch/43904