TY - JOUR
T1 - Describing the Brushfire Hazard in Southern California
AU - Yool, Stephen R.
AU - Eckhardt, David W.
AU - Estes, John E.
AU - Cosentino, Michael J.
N1 - Funding Information: We thank the Annuls editor and the anonymous reviewers. Their thoughtful comments improved this article substantially. This work was supported in part by the U.S. Forest Service FIRESCOPE project and by NASA contract NAGW4SS. We wish to acknowledge Gloria Fletcher and Joseph Scepan for producing the graphics.
PY - 1985/9
Y1 - 1985/9
N2 - Brushfires threaten lives, property, and natural resources in Southern California. A geographic information system (GIS) can be a powerful tool for managing the brushfire problem. As a demonstration, digital data and computer-based GIS technology were used to describe the brushfire hazards at two test sites in Southern California. For a test site near Los Angeles, California, digital landscape data describing fire history, rainfall, and topography were registered to a brush fuel type and density map produced from remote sensor data from Landsat. For a test site near Santa Barbara, California, the relationship between dry fuel weight and incoming solar radiation (insolation) was modeled using simulated insolation values derived from digital topographic data. Regression results from a small sample of fuels suggest that about 37 percent of the variation in dry fuel weights can be explained by variations in insolation and that further study using additional landscape data is warranted. Data processing and modeling techniques similar to those used in this work can enlarge our capacity to study spatially distributed data and hence to understand the biosphere.
AB - Brushfires threaten lives, property, and natural resources in Southern California. A geographic information system (GIS) can be a powerful tool for managing the brushfire problem. As a demonstration, digital data and computer-based GIS technology were used to describe the brushfire hazards at two test sites in Southern California. For a test site near Los Angeles, California, digital landscape data describing fire history, rainfall, and topography were registered to a brush fuel type and density map produced from remote sensor data from Landsat. For a test site near Santa Barbara, California, the relationship between dry fuel weight and incoming solar radiation (insolation) was modeled using simulated insolation values derived from digital topographic data. Regression results from a small sample of fuels suggest that about 37 percent of the variation in dry fuel weights can be explained by variations in insolation and that further study using additional landscape data is warranted. Data processing and modeling techniques similar to those used in this work can enlarge our capacity to study spatially distributed data and hence to understand the biosphere.
KW - environmental modeling
KW - geographic information systems
KW - remote sensing
KW - vegetation analysis
KW - wildfire
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U2 - 10.1111/j.1467-8306.1985.tb00076.x
DO - 10.1111/j.1467-8306.1985.tb00076.x
M3 - Article
SN - 0004-5608
VL - 75
SP - 417
EP - 430
JO - Annals of the Association of American Geographers
JF - Annals of the Association of American Geographers
IS - 3
ER -