Advanced Very High Resolution Radiometer (AVHRR)-based fire detection metho
ds are considered in this work in order to assess their effective usefulnes
s in the framework of civil programmes for fire risk and damage mitigation.
The discussion is divided into the evaluation of the most commonly used me
thods and the description of a new fire detection procedure which is propos
ed in this paper. Commonly used detection methods are based on using absolu
te threshold values for decision tests. These values usually match only wit
h very local, uniform (in space and time) situations, and are often inadequ
ate when applied to heterogeneous, or simply different, geographical areas
or seasons. A high number of false alarms, so high as to make the satellite
-based product not operationally utilizable, is the main disadvantage of th
e fixed-threshold approach. The new fire-detection procedure proposed here
makes use only of historical AVHRR data in order to automatically produce l
ocal(in space and time) threshold values, suitable for fire-event detection
also in very critical situations. High fire discrimination capabilities wi
th low false-alarm rates, simple unsupervised implementation and, above all
, flexibility for automatic extension to completely different geographic ar
eas and observation conditions, are the main advantages associated with thi
s new technique. Results obtained for different Italian areas have been suc
cessfully compared with ground observations made by the Italian Forestry Se
rvice. Tests made over a long observation period show that, on cloud-free r
egions, more than 75% of significant forest fires are detected with less th
an 20% of false alarms.