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Remote sensing and geographic information system (GIS) technologies support the goals of the Los Alamos region to use current technology in expanding information to reduce fire hazard within its wildland urban interface. The forests and woodlands on the east slopes of the Jemez Mountains are generally overstocked and carry the potential to produce intense wildfires that could threaten lives, property and natural resources. Overall overstory fuel classification accuracy was 96.10%, with a kappa coefficient of .95. Average modeled understory fuel loads increase from 4.89 tons/acre in grass, to 28.29 tons/acre in ponderosa pine, 31.53 tons/acre in aspen, and 52.05 tons/acre in mixed conifer. The coefficient of variation, which measures the reliability of the means, is almost the same for the mixed conifer and ponderosa pine data, at around .34. © University of Idaho 2000. Abstract reproduced by permission.
Cataloging Information
- Arizona
- catastrophic fires
- coniferous forests
- fire case histories
- fire damage (property)
- fire danger rating
- fire hazard reduction
- fire intensity
- fire management
- fuel accumulation
- fuel inventory
- fuel loading
- fuel management
- fuel models
- fuel types
- GIS - geographic information system
- GPS - global positioning system
- grasses
- Idaho
- JFSP - Joint Fire Science Program
- Los Alamos
- mountains
- overstory
- Pinus ponderosa
- population density
- Populus
- remote sensing
- remote sensing
- statistical analysis
- topography
- urban habitats
- US Forest Service
- wilderness fire management
- wildfires
- woody fuels
- woody plants
This bibliographic record was either created or modified by Tall Timbers and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of Tall Timbers.