Title :
A Multi-temporal Robust Satellite Technique (RST) for Forest Fire Detection
Author :
Mazzeo, Giuseppe ; Marchese, Francesco ; Filizzola, Carolina ; Pergola, Nicola ; Tramutoli, Valerio
Author_Institution :
Basilicata Univ., Potenza
Abstract :
In this work, an innovative approach, based on a multi-temporal satellite data analysis, named RST (Robust Satellite Technique), which has already been successfully applied for the monitoring of major natural and environmental risks, has been proposed for the detection of forest fires in near real time. RST is applied in the case of some important forest fires occurred in Northern Italy in recent years using MIR sensors onboard polar (NOAA-AVHRR) and geostationary (MSG-SEVIRI) satellites, moreover, in order to assess the technique performances, also a comparison with well-established MODIS fire algorithm is carried out.
Keywords :
data analysis; environmental factors; fires; object detection; remote sensing; vegetation; Advanced Very High Resolution Radiometer; MODIS fire algorithm; MSG-SEVIRI; Meteosat Second Generation; Middle Infrared sensors; Moderate Resolution Imaging Spectroradiometer; NOAA-AVHRR; National and Oceanic Atmospheric Administration; Northern Italy; Robust Satellite Technique; Spinning Enhanced Visible Infrared Imager; environmental risk; forest fire detection; geostationary satellites; multitemporal satellite data analysis; polar satellites; Atmospheric measurements; Data analysis; Extraterrestrial measurements; Fires; Infrared image sensors; Infrared sensors; Performance evaluation; Robustness; Satellite broadcasting; Signal processing;
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the
Conference_Location :
Leuven
Print_ISBN :
1-4244-0846-6
Electronic_ISBN :
1-4244-0846-6
DOI :
10.1109/MULTITEMP.2007.4293060