Skip to main content
padlock icon - secure page this page is secure

Mapping Percent Tree Mortality Due to Mountain Pine Beetle Damage


The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

The mountain pine beetle (Dendroctonus ponderosae Hopkins) is a pervasive and particularly destructive species of insect that has killed vast areas of conifers in western North America. To map large areas of infestation satellite imagery is often used because of its ability to cover large areas, but the spatial resolution often precludes fine-scale analysis. Furthermore, maps of insect-caused tree mortality have been attempted on the basis of presence-absence. We present here a two-step method to estimate and map tree mortality as a percentage within a Landsat-sized pixel. The first step delineates presence-absence, and the second estimates percent tree mortality for those pixels with tree mortality. We tested a total of 25 two-step models. The binary presence-absence first step of the models produced overall accuracies between 89.9 and 98.0% and Cohen's kappa values between 0.69 and 0.94. The full two-step models that predicted percent tree mortality produced estimated differences between modeled and observed percent tree mortality that ranged from <0.1 to 2.4% with associated root mean square errors between 10 and 18%. This method has several advantages over most current methodologies, including the use of a single image, nondependence on wetness measures, magnitude of error that is not density-dependent, and no restriction to trees with red-shaded faded crowns.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Landsat imagery; forest disturbance; insect damage; tree mortality

Document Type: Research Article

Publication date: August 30, 2016

This article was made available online on April 14, 2016 as a Fast Track article with title: "Mapping Percent Tree Mortality Due to Mountain Pine Beetle Damage".

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more