Summary
A mathematical model that allows the calculation of those properties of the smoke plume produced by a forest fire that are relevant for the remote sensing of the smoke itself has been described in a separate paper. In this paper the results of the smoke plume model are used to analyse the performance of automatic detection systems based on infra-red passive sensors and on active optical sensors (lidar).
Similar content being viewed by others
References
F. Andreucci andM. V. Arbolino: this issue p. 35.
F. Andreucci andM. V. Arbolino: Elaborazioni di immagini per la scoperta di incendi,Alta Frequenza,4, 187 (1992).
R. M. Measures:Laser Remote Sensing (Wiley-Interscience, New York, N.Y., 1984).
R. M. Measures (Editor):Laser Remote Chemical Analysis (Wiley-Interscience, 1988).
A. Papoulis:Probability, Random Variables and Stochastic Processes, (McGraw-Hill, 1965).
B. L. Van der Waerden:Mathematical Statistics (Springer-Verlag, 1969).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Andreucci, F., Arbolino, M.V. A study of forest fire automatic detection systems. Il Nuovo Cimento C 16, 51–65 (1993). https://doi.org/10.1007/BF02509210
Received:
Revised:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02509210