Improving thematic mapper based classification of wildfire induced vegetation mortality

Michael J. Medler, Stephen Yool

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

In many areas suppression of wildfire has produced fuel accumulations that pre-dispose forests to undesirable fire behavior. Image processing techniques can be used to combine different elements of terrain data into a single composite image. This composite terrain image is used to improve the accuracy of a supervised classification of expected vegetation mortality in a 20,000 acre forest fire in the Cibola National Forest in New Mexico. Error matrices are produced that indicate that combining TM and terrain data provides a 40% improvement in accuracy compared to TM data alone. Computer-assisted mapping of observed and potential patterns of wildfire can provide forest managers cost-effective tools for wildfire planning and ecosystem management.

Original languageEnglish (US)
Pages (from-to)49-58
Number of pages10
JournalGeocarto International
Volume12
Issue number1
StatePublished - 1997

Fingerprint

wildfire
mortality
vegetation
fire behavior
ecosystem management
image classification
forest fire
image processing
suppression
matrix
Mexico
manager
cost
planning
costs
management

ASJC Scopus subject areas

  • Water Science and Technology
  • Geography, Planning and Development

Cite this

Improving thematic mapper based classification of wildfire induced vegetation mortality. / Medler, Michael J.; Yool, Stephen.

In: Geocarto International, Vol. 12, No. 1, 1997, p. 49-58.

Research output: Contribution to journalArticle

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