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

Lacava, Teodosio; Ciancia, Emanuele; Coviello, I.; Polito, Carmine Di; Grimaldi, Caterina Livia Sara; Pergola, Nicola; Satriano, Valeria; Temimi, Marouane; Zhao, Jun; Tramutoli, Valerio

doi:10.3390/rs9020128

Cited by 24 publications

(16 citation statements)

References 49 publications

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“…RST-FLARE is a specific configuration of the Robust Satellite Techniques approach (RST, [ 32 , 33 , 34 ]), a general automatic change detection scheme widely and successfully applied to monitor the major environmental, natural and industrial hazards (e.g., [ 35 , 36 , 37 , 38 , 39 ]). In its original version, RST-FLARE was developed for computing the amount of gas annually flared by the COVA plant located in Basilicata region (southern Italy) [ 20 ].…”

Section: Methodsmentioning

confidence: 99%

On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space

Faruolo

Lacava

Pergola

et al. 2018

Sensors

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An effective characterization of gas flaring is hampered by the lack of systematic, complete and reliable data on its magnitude and spatial distribution. In the last years, a few satellite methods have been developed to provide independent information on gas flaring activity at global, national and local scale. Among these, a MODIS-based method, aimed at the computation of gas flared volumes by an Italian plant, was proposed. In this work, a more general version of this approach, named RST-FLARE, has been developed to provide reliable information on flaring sites localization and gas emitted volumes over a long time period for the Niger Delta region, one of the top five gas flaring areas in the world. Achieved results showed a good level of accuracy, in terms of flaring sites localization (95% of spatial match) and volume estimates (mean bias between in 16% and 20%, at annual scale and 2–9% in the long period) when compared to independent data, provided both by other satellite techniques and national/international organizations. Outcomes of this work seem to indicate that RST-FLARE can be used to provide, at different geographic scales, quite accurate data on gas flaring, suitable for monitoring purposes for governments and local authorities.

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Section: Methodsmentioning

confidence: 99%

On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space

Faruolo

Lacava

Pergola

et al. 2018

Sensors

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“…Multi-spectral satellites such as MODIS and MERIS now provide various wavelength data for earth observation. Oil detection in the visible wavelength region depends on weather conditions, oil types, and view angles [ 25 ]. The barriers to visual imagery are cloud cover and sun glint.…”

Section: Detection and Mapping Of Oil On A Water Surfacementioning

confidence: 99%

A Review of Oil Spill Remote Sensing

Fingas¹,

Brown

2017

Sensors

246

171

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The technical aspects of oil spill remote sensing are examined and the practical uses and drawbacks of each technology are given with a focus on unfolding technology. The use of visible techniques is ubiquitous, but limited to certain observational conditions and simple applications. Infrared cameras offer some potential as oil spill sensors but have several limitations. Both techniques, although limited in capability, are widely used because of their increasing economy. The laser fluorosensor uniquely detects oil on substrates that include shoreline, water, soil, plants, ice, and snow. New commercial units have come out in the last few years. Radar detects calm areas on water and thus oil on water, because oil will reduce capillary waves on a water surface given moderate winds. Radar provides a unique option for wide area surveillance, all day or night and rainy/cloudy weather. Satellite-carried radars with their frequent overpass and high spatial resolution make these day–night and all-weather sensors essential for delineating both large spills and monitoring ship and platform oil discharges. Most strategic oil spill mapping is now being carried out using radar. Slick thickness measurements have been sought for many years. The operative technique at this time is the passive microwave. New techniques for calibration and verification have made these instruments more reliable.

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“…This enabled the detection of different oil spills that occurred in several areas worldwide. RST-OIL has been recently successfully tested in the VIS and NIR MODIS channels, using the corresponding Rayleigh-corrected reflectance (R rc ) data to detect an illicit vessel discharge that occurred off the south coast of Cyprus in June 2007 [38].…”

Section: Rst-oilmentioning

confidence: 99%

“…Among the optical methods, the Robust Satellite Technique (RST) [35] specifically applied to oil spill detection, namely RST-OIL [27,28,[36][37][38], has been demonstrated to detect the oil presence, using both TIR (in terms of brightness temperature) and VNIR (in terms of Rayleigh-corrected reflectance) data using automatic, self-adaptive thresholds. The methodology identifies significant statistical deviation of the measured signal on the basis of its preliminary characterization in terms of the expected value (temporal mean) and normal variability (standard deviation).…”

Section: Introductionmentioning

confidence: 99%

Improving the RST-OIL Algorithm for Oil Spill Detection under Severe Sun Glint Conditions

et al. 2019

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In recent years, the risk related to oil spill accidents has significantly increased due to a global growth in offshore extraction and oil maritime transport. To ensure sea safety, the implementation of a monitoring system able to provide real-time coverage of large areas and a timely alarm in case of accidents is of major importance. Satellite remote sensing, thanks to its inherent peculiarities, has become an essential component in such a system. Recently, the general Robust Satellite Technique (RST) approach has been successfully applied to oil spill detection (RST-OIL) using optical band satellite data. In this paper, an advanced configuration of RST-OIL is presented, and we aim to extend its applicability to a larger set of observation conditions, referring, in particular, to those in the presence of severe sun glint effects that generate some detection limits to the RST-OIL standard algorithm. To test such a configuration, the DeepWater Horizon platform accident from April 2010 was selected as a test case. We analyzed a time series of Moderate Resolution Imaging Spectroradiometer (MODIS) images that are usually significantly affected by sun glint in the Gulf of Mexico area. The accuracy of the achieved results was evaluated for comparison with a well-established satellite methodology based on microwave data, which confirms the potential of the proposed approach in identifying the oil presence on the scene with good accuracy and reliability, even in these severe conditions.

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

Cited by 24 publications

References 49 publications

On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space

On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space

A Review of Oil Spill Remote Sensing

Improving the RST-OIL Algorithm for Oil Spill Detection under Severe Sun Glint Conditions

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