Robust Satellite Techniques for oil spill detection and monitoring using AVHRR thermal infrared bands

Casciello, D.; Lacava, Teodosio; Pergola, Nicola; Tramutoli, Valerio

doi:10.1080/01431161.2010.484820

Cited by 27 publications

(21 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High S/N values indicate high confidence levels in oil spill detection. As soon as an oil spill detection has been performed "for sure" (as in this case) by RST, it is possible to zoom in on the affected area and perform a more detailed mapping of the spill, investigating spatial distribution of signal anomalies with lower intensities associated to spills of different thickness/size and/or at different levels of emulsion in seawater (Casciello et al, 2011). In details, the analysis of Figs.…”

Section: Resultsmentioning

confidence: 99%

An improved RST approach for timely alert and Near Real Time monitoring of oil spill disasters by using AVHRR data

Grimaldi

Casciello

Coviello

et al. 2011

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. Information acquired and provided in Near RealTime is fundamental in contributing to reduce the impact of different sea pollution sources on the maritime environment. Optical data acquired by sensors aboard meteorological satellites, thanks to their high temporal resolution as well as to their delivery policy, can be profitably used for a Near Real Time sea monitoring, provided that accurate and reliable methodologies for analysis and investigation are designed, implemented and fully assessed.In this paper, the results achieved by the application of an improved version of RST (Robust Satellite Technique) to oil spill detection and monitoring will be shown. In particular, thermal infrared data acquired by the NOAA-AVHRR (National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer) have been analyzed and a new RST-based change detection index applied to the case of the oil spills that occurred off the Kuwait and Saudi Arabian coasts in January 1991 and during the Lebanon War in July 2006.The results obtained, even in comparison with those achieved by other AVHRR-based techniques, confirm the unique performance of the proposed approach in automatically detecting the presence of oil spill with a high level of reliability and sensitivity. Moreover, the potential of the extension of the proposed technique to sensors onboard geostationary satellites will be discussed within the context of oil spill monitoring systems, integrating products generated by high temporal (optical) and high spatial (radar) resolution satellite systems.

show abstract

Section: Resultsmentioning

confidence: 99%

An improved RST approach for timely alert and Near Real Time monitoring of oil spill disasters by using AVHRR data

Grimaldi

Casciello

Coviello

et al. 2011

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is based on the use of historical series of satellite data for a complete signal characterization (spectral, spatial and temporal) followed by an anomaly detection step using automatically-generated local (i.e., for a specific time and place of observation) thresholds. In its application to oil spill detection, namely RST-OIL, TIR data acquired by AVHRR or MODIS have been used to detect different oil spills occurred in different areas in the past [20,26,27]. In this paper, we use MODIS 250 m spatial resolution optical data for the detection and the monitoring of oil spills.…”

Section: Methodsmentioning

confidence: 99%

“…Among the methodologies working in the optical band, the one specifically applied to oil detection based on the general robust satellite technique (RST), named RST-OIL [20,26,27], has already been successfully applied to Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) TIR data [20,27], showing excellent performances with a high level of reliability (no false alarm). In this work, the same approach has been extended to MODIS visible bands to exploit their higher spatial resolution (250 m) than the thermal channel (1 km) to improve the detection sensitivity towards small spills such as in the wakes of ships or illicit vessel discharge.…”

Section: Introductionmentioning

confidence: 99%

“…Several techniques have already been proposed for oil spill detection and monitoring using satellite data acquired in the optical band [21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Most of them are based on the analysis of satellite radiances acquired in the middle (MIR) and thermal (TIR) infrared spectral regions where the contrast between the emittance of the oil-polluted area and the surrounding clean seawater is more appreciable.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A MODIS-Based Robust Satellite Technique (RST) for Timely Detection of Oil Spilled Areas

et al. 2017

View full text Add to dashboard Cite

Natural crude-oil seepages, together with the oil released into seawater as a consequence of oil exploration/production/transportation activities, and operational discharges from tankers (i.e., oil dumped during cleaning actions) represent the main sources of sea oil pollution. Satellite remote sensing can be a useful tool for the management of such types of marine hazards, namely oil spills, mainly owing to the synoptic view and the good trade-off between spatial and temporal resolution, depending on the specific platform/sensor system used. In this paper, an innovative satellite-based technique for oil spill detection, based on the general robust satellite technique (RST) approach, is presented. It exploits the multi-temporal analysis of data acquired in the visible channels of the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Aqua satellite in order to automatically and quickly detect the presence of oil spills on the sea surface, with an attempt to minimize "false detections" caused by spurious effects associated with, for instance, cloud edges, sun/satellite geometries, sea currents, etc. The oil spill event that occurred in June 2007 off the south coast of Cyprus in the Mediterranean Sea has been considered as a test case. The resulting data, the reliability of which has been evaluated by both carrying out a confutation analysis and comparing them with those provided by the application of another independent MODIS-based method, showcase the potential of RST in identifying the presence of oil with a high level of accuracy.

show abstract

“…Marine oil spill is usually far away from the mainland. Timely information is fundamental to reduce the impact of oil spill (Casciello et al, 2011). Aviation and satellite remote sensing are effective means for monitoring this area.…”

Section: Introductionmentioning

confidence: 99%

Oil Spill Aisa+ Hyperspectral Data Detection Based on Different Sea Surface Glint Suppression Methods

Yang

Ren

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:The marine oil spill is a sudden event, and the airborne hyperspectral means to detect the oil spill is an important part of the rapid response. Sun glint, the specular reflection of sun light from water surface to sensor, is inevitable due to the limitation of observation geometry, which makes so much bright glint in image that it is difficult to extract oil spill feature information from the remote sensing data. This paper takes AISA+ airborne hyperspectral oil spill image as data source, using multi-scale wavelet transform, enhanced Lee filter, enhanced Frost filter and mean filter method for sea surface glint suppression of images. And then the classical SVM method is used for the oil spill information detection, and oil spill information distribution map obtained by human-computer interactive interpretation is used to verify the accuracy of oil spill detection. The results show that the above methods can effectively suppress the sea surface glints and improve the accuracy of oil spill detection. The enhanced Lee filter method has the highest detection accuracy of 88.28%, which is 12.2% higher than that of the original image.

show abstract

Robust Satellite Techniques for oil spill detection and monitoring using AVHRR thermal infrared bands

Cited by 27 publications

References 24 publications

An improved RST approach for timely alert and Near Real Time monitoring of oil spill disasters by using AVHRR data

An improved RST approach for timely alert and Near Real Time monitoring of oil spill disasters by using AVHRR data

A MODIS-Based Robust Satellite Technique (RST) for Timely Detection of Oil Spilled Areas

Oil Spill Aisa+ Hyperspectral Data Detection Based on Different Sea Surface Glint Suppression Methods

Contact Info

Product

Resources

About