MODELING FOREST FIRE RISK IN THE PROVINCE OF CASTELLON.
SPAIN
The fire risk models provide a suitable concept to understand characterization
of fire risk.
Some models are map based, and they combine effectively different
forest fire–causing variables with...
More
MODELING FOREST FIRE RISK IN THE PROVINCE OF CASTELLON.
SPAIN
The fire risk models provide a suitable concept to understand characterization
of fire risk.
Some models are map based, and they combine effectively different
forest fire–causing variables with remote sensing data in a GIS environment for
identifying and mapping forest fire risk.
In this job, Structural Fire Index, Fire
Risk Index and Hybrid Fire Index were used to delineate fire risk in eastern
spanish province of Castellon.
Vegetation moisture, slope, aspect, elevation, distance from roads, and vicinity
to settlements were used as the factors influencing accidental fire starts.
These
indices were set up by assigning subjective weight values to the classes of the
layers based on their sensitivity ratio to fire.
Generally, forest fire management contains four steps of analysis and
assessment of effective response to fires, namely, mapping both potential fire
hazard and risk, detecting hot spots, monitoring active fires
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