thumbnail

Broad area forest fuels and topography mapping using digital Landsat and terrain data

By: , , and 

Links

Abstract

A spatially registered digital data base of fuels and terrain information was generated for a test site on the Lolo National Forest in Montana. The data base was developed specifically for providing spatially relevant data to a mathematical fire behavior model developed by the Forest Service which integrates this information along with current weather data to produce realistic estimates of probable fire behavior.

Methodologies for the processing and analysis of Landsat MSS and digital terrain data for the mapping of U.S. Forest Service fuel types were developed and demonstrated. Key elements in the mapping process were the development of a fuels terrain distribution model which provided a statistical description of the topographic distribution patterns of fuels within spectral classes, and secondly, the application of a layered classifier which incorporated the spectral and terrain data in a two-stage maximum likelihood classification framework for the mapping of fuels.

Study Area

Publication type Conference Paper
Publication Subtype Conference Paper
Title Broad area forest fuels and topography mapping using digital Landsat and terrain data
Year Published 1981
Language English
Publisher Purdue Univeristy
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 10 p.
Larger Work Type Book
Larger Work Subtype Conference publication
Larger Work Title Seventh international symposium: Machine processing of remotely sensed data
First page 529
Last page 538
Conference Title Seventh International Symposium: Machine Processing of Remotely Sensed Data
Conference Location West Lafayette, Indiana, United States
Conference Date June 23-26, 1981
Country United States
State Montana
Other Geospatial Lolo National Forest
Google Analytic Metrics Metrics page
Additional publication details