Timely detection and continuously updated information are fundamental in reducing the ecological impact of the different sources of sea pollution. Satellite remote sensing, especially from meteorological platforms having a high temporal resolution and an easy data delivery, can be profitably used for a near real time sea monitoring. Recently, a new methodology for oil spill detection and monitoring, based on the general Robust Satellite Technique (RST) approach, has been proposed. This technique has shown, by using AVHRR Thermal Infrared (TIR) data, a good capability in automatically detect, with high level of reliability, oil spill presence. In this paper, such an approach has been exported for the first time to MODIS TIR data. Preliminary results obtained for an oil spill event occurred during Lebanon war in 2006, are shown and discussed.

Near Real Time Oil Spill Detection And Monitoring Using Satellite Optical Data

Coviello I.;Lacava T.;Pergola N.;
2009

Abstract

Timely detection and continuously updated information are fundamental in reducing the ecological impact of the different sources of sea pollution. Satellite remote sensing, especially from meteorological platforms having a high temporal resolution and an easy data delivery, can be profitably used for a near real time sea monitoring. Recently, a new methodology for oil spill detection and monitoring, based on the general Robust Satellite Technique (RST) approach, has been proposed. This technique has shown, by using AVHRR Thermal Infrared (TIR) data, a good capability in automatically detect, with high level of reliability, oil spill presence. In this paper, such an approach has been exported for the first time to MODIS TIR data. Preliminary results obtained for an oil spill event occurred during Lebanon war in 2006, are shown and discussed.
2009
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Inglese
Proceedings of 2009 IEEE International Geoscience and Remote Sensing Symposium
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
709
712
4
978-1-4244-3394-0
http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=5417475
Sì, ma tipo non specificato
12 July 2009 through 17 July 2009
Cape Town; South Africa
Oil spill
remote sensing
RST
AVHRR
MODIS.
5
none
Grimaldi, C. S. L.; Coviello, I.; Lacava, T.; Pergola, N.; Tramutoli, V.
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/20.500.14243/171533
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