In the last years, the LIDAR technique has been successfully applied to the detection of the smoke plume emitted by wild fires. Up to now, the attention has been devoted to early detection of quite concentrated smoke plumes to reveal the first stage of fires as soon as possible. In this paper, it is shown how the LIDAR technique can also cope with widespread smoke, which can be the consequence of strong wind dispersion or non-concentrated sources. To this end, innovative signal processing techniques are required. The proposed approach is able to detect, in a reliable way, the presence of widespread smoke in the backscattered signals of compact LIDAR systems. The first experimental evidence is encouraging and the potential of the proposed method is presented.

First attempts at measuring widespread smoke with a mobile LIDAR system

Murari A;
2015

Abstract

In the last years, the LIDAR technique has been successfully applied to the detection of the smoke plume emitted by wild fires. Up to now, the attention has been devoted to early detection of quite concentrated smoke plumes to reveal the first stage of fires as soon as possible. In this paper, it is shown how the LIDAR technique can also cope with widespread smoke, which can be the consequence of strong wind dispersion or non-concentrated sources. To this end, innovative signal processing techniques are required. The proposed approach is able to detect, in a reliable way, the presence of widespread smoke in the backscattered signals of compact LIDAR systems. The first experimental evidence is encouraging and the potential of the proposed method is presented.
2015
Istituto gas ionizzati - IGI - Sede Padova
Inglese
2015 Fotonica AEIT Italian Conference on Photonics Technologies
17th Italian Conference on Photonics Technologies, Fotonica AEIT 2015
1
4
4
9781785610684
https://digital-library.theiet.org/content/conferences/10.1049/cp.2015.0187
Sì, ma tipo non specificato
6-8 May 2015
Torino, Italy
LIDAR
Support vector regression
Widespread smoke
Wild fires
http://www.scopus.com/inward/record.url?eid=2-s2.0-84946066364&partnerID=q2rCbXpz
10
none
Gelfusa, M; Malizia, A; Murari, A; Parracino, S; Lungaroni, M; Peluso, E; Vega, J; De Leo, L; Perrimezzi, C; Gaudio, P
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/341418
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