Observing Marine Pollution with Synthetic Aperture Radar

Trivero, P.; Biamino, W.

doi:10.5772/9106

Cited by 6 publications

(6 citation statements)

References 73 publications

(62 reference statements)

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“…However, extensive slicks can dampen longer ocean waves (Hühnerfuss et al, 1983). Alcohols and other surfactant films induce maximum dampening in the range of 2-10 Hz (Trivero & Biamino, 2010). Over the years, many studies have investigated oil releases and other substances emulating oil releases with SAR and scatterometers, including multiple frequency and multiple polarizations from aircraft and towers (Gade et al, 1998a;Hühnerfuss et al, 1983Hühnerfuss et al, , 1996Wismann et al, 1998).…”

Section: Airborne Thermal Infrared Oil Slick Mapping Of the Dwhmentioning

confidence: 99%

“…At very low wind speeds (b2 m s − 1 ) the sea surface microlayer is well developed and flat because winds are too weak to roughen the sea surface through capillary wave formation (Thorpe, 1995). Thus, calm seas exhibit reduced radar backscatter and appear similar to backscatter for an oil-slicked surface, lacking contrast for slick detection (Trivero & Biamino, 2010). Similarly, white capping disperses oil and thus surface roughness depends on wave-breaking bubbles, rather than capillary waves, preventing SAR from distinguishing oil slicks at high wind speeds (Gade et al, 1998b).…”

Section: Airborne Thermal Infrared Oil Slick Mapping Of the Dwhmentioning

confidence: 99%

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State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill

Leifer

Lehr²,

Simecek-Beatty³

et al. 2012

Remote Sensing of Environment

441

298

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Section: Airborne Thermal Infrared Oil Slick Mapping Of the Dwhmentioning

confidence: 99%

Section: Airborne Thermal Infrared Oil Slick Mapping Of the Dwhmentioning

confidence: 99%

State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill

Leifer

Lehr²,

Simecek-Beatty³

et al. 2012

Remote Sensing of Environment

441

298

View full text Add to dashboard Cite

“…Exclusion of ROIs corresponding to in situ wind speeds less than 2 m/s. This threshold was chosen considering that a weaker wind cannot produce roughness and therefore the sea area appears as flat [35]. As a result, the available dataset reduced to a number of 977 ROIs.…”

Section: Lg-mod Results From Real Sar Imagesmentioning

confidence: 99%

Multi-Scale LG-Mod Analysis for a More Reliable SAR Sea Surface Wind Directions Retrieval

Rana

Adamo

2021

Remote Sensing

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An improved version of the Local-Gradient-Modified (LG-Mod) algorithm for Sea Surface Wind (SSW) directions retrieval by means of Synthetic Aperture Radar (SAR) images is presented. A “local” multi-scale analysis of wind-aligned SAR patterns is introduced to improve the LG-Mod sensitivity to SAR backscattering modulations, occurring locally with various spatial wavelengths. The Marginal Error parameter is redefined, and the adoption of the Directional Accuracy Maximization Criterion (DAMC) allows for the novel Multi-Scale (MS) LG-Mod to automatically select the local processing scale that may be regarded as optimal for pattern enhancement, once a discrete set of scales has been already fixed. Hence, this optimal scale successfully gives evidence to guarantee the best achievable local direction estimation. The assessment of the MS LG-Mod is carried on both simulated SAR images and a Sentinel-1 (S-1) dataset, consisting of 350 Interferometric Wide Swath Ground Range Multi-Look Detected High-Resolution images, which cover the region of the Gulf of Maine. In the latter case, the removal of artifacts and non-wind features from SAR amplitudes is mandatory before directional estimations. In situ wind observations gathered by the National Oceanic and Atmospheric Administration National Data Buoy Center (NOAA NDBC) are exploited for validation. The findings obtained from S-1 data confirm the ones from simulated patterns. The MS LG-Mod analysis performs better than each single-scale one in terms of both percentages of reliable directions and directional Root Mean Square Error (RMSE) values achieved.

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“…For instance, oil spills from platforms or ships induce significant slicks (Johannessen et al, 2000;Leifer et al, 2012;Trivero and Biamino, 2010). Oil spills from platforms are characterized by an irregular geometric shape.…”

Section: Manual Detectionmentioning

confidence: 99%

Oil slicks in the Gulf of Guinea – 10 years of Envisat Advanced Synthetic Aperture Radar observations

Najoui¹,

Amoussou

Riazanoff

et al. 2022

Earth Syst. Sci. Data

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Abstract. The Gulf of Guinea is a very active area with respect to maritime traffic as well as oil and gas exploitation. Due to the failure of some actors to comply with environmental standards, this region has been subject to a large number of oil pollution episodes. This anthropogenic oil pollution is in addition to natural oil seepage from the ocean floor. This study aims to detect oil slicks in the Gulf of Guinea and to analyse their spatial distribution using synthetic-aperture radar (SAR) images. Previous works have already locally mapped oil slicks in this area; however, to our knowledge, this study is the first to achieve a global statistical analysis based on 10 years of radar images covering 17 exclusive economic zones (EEZs) in the Gulf of Guinea. The present study is based on a database of 3644 SAR images collected between 2002 and 2012 by the Advanced Synthetic Aperture Radar (ASAR) sensor onboard the European Spatial Agency (ESA) Envisat mission, and these images allowed the identification of 18 063 oil slicks. The spatial distribution of these oil slicks is available from Zenodo: https://doi.org/10.5281/zenodo.6470470 (Najoui, 2022b). The oil slicks detected in this work encompass both oil spills of anthropogenic origin and oil seeps of natural origin (natural oil reservoir leaks). A set of 100 georeferenced oil spills is also available from Zenodo: https://doi.org/10.5281/zenodo.6907743 (Najoui, 2022a).

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Observing Marine Pollution with Synthetic Aperture Radar

Cited by 6 publications

References 73 publications

State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill

State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill

Multi-Scale LG-Mod Analysis for a More Reliable SAR Sea Surface Wind Directions Retrieval

Oil slicks in the Gulf of Guinea – 10 years of Envisat Advanced Synthetic Aperture Radar observations

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