Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5417475 | Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009 |
Keywords | Field | DocType |
ecology,geophysical techniques,marine pollution,oil pollution,radiometry,remote sensing by radar,AD 2006,AVHRR Thermal Infrared data,Advanced Very High Resolution Radiometer,Lebanon war,MODIS TIR data,Moderate Resolution Imaging Spectroradiometer,ecological impact,general Robust Satellite Technique approach,meteorological platforms,oil spill detection,oil spill event,satellite optical data,satellite remote sensing,sea monitoring,sea pollution,temporal resolution,AVHRR,MODIS,Oil spill,RST,remote sensing | Moderate-resolution imaging spectroradiometer,Satellite,Computer science,Marine pollution,Remote sensing,Advanced very-high-resolution radiometer,Robustness (computer science),Real-time computing,Radiometry,Petroleum,Temporal resolution | Conference |
Volume | ISSN | ISBN |
4 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
1 | 0.63 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Grimaldi, C.S.L. | 1 | 1 | 0.96 |
| Coviello, I. | 2 | 10 | 4.88 |
| Lacava, T. | 3 | 6 | 3.10 |
| Pergola, N. | 4 | 6 | 3.10 |