Curve fitting of time-series Landsat imagery for characterizing a mountain pine beetle infestation

Abstract

In this technical note we present a new technique using mixed linear models for characterizing a mountain pine beetle (Dendroctonus ponderosae Hopkins) infestation from multiyear satellite imagery. The main benefit of our approach is an ability to determine the statistical significance of each annual spectral change. Knowledge of the annual spectral change characteristics can then be used to statistically determine if a disturbance event has occurred, the timing of a given disturbance event, as well as to provide information for clustering fitted multitemporal reflectance curves (i.e. spectral trajectories) with a common shape. The spatial clustering of spectral trajectories provides insights into the nature of the disturbance and recovery imposed by infestation over a 14-year period.

Acknowledgements

This project is funded by the Government of Canada through the Mountain Pine Beetle Initiative, a six-year, $40 million programme administered by Natural Resources Canada, Canadian Forest Service. Additional information on the Mountain Pine Beetle Initiative may be found at: http://mpb.cfs.nrcan.gc.ca.