Automatic oil slick detection from SAR images: Results and improvements in the framework of the PRIMI pilot project

Trivero, P.; Adamo, Maria; Biamino, W.; Borasi, M.; Cavagnero, M.; Carolis, Giacomo De; Matteo, L. Di; Fontebasso, F.; Nirchio, F.; Tataranni, F.

doi:10.1016/j.dsr2.2016.03.003

Cited by 9 publications

(3 citation statements)

References 72 publications

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“…Differently from optical sensors, SAR allows the obtaining of all weather and daynight 2D images of the illuminated area of the Earth's surface [3]. SAR remote sensing for ocean, seas and coastal applications mostly exploits the amplitude of the backscattered signal for, for example, monitoring oil-spills [4] and sea-ice [5], ship detection [6] and high-resolution wind fields retrieval [7]. However, SAR uses coherent radiation and the complementary information carried in the phase of the received complex signal can be also exploited.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Lakes Surface Water Velocity with SAR: A Feasibility Study on Lake Garda, Italy

et al. 2021

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The SAR Doppler frequencies are directly related to the motion of the scatterers in the illuminated area and have already been used in marine applications to monitor moving water surfaces. Here we investigate the possibility of retrieving surface water velocity from SAR Doppler analysis in medium-size lakes. ENVISAT images of the test site (Lake Garda) are processed and the Doppler Centroid Anomaly technique is adopted. The resulting surface velocity maps are compared with the outputs of a hydrodynamic model specifically validated for the case study. Thermal images from MODIS Terra are used in support of the modeling results. The surface velocity retrieved from SAR is found to overestimate the numerical results and the existence of a bias is investigated. In marine applications, such bias is traditionally removed through Geophysical Model Functions (GMFs) by ascribing it to a fully developed wind waves spectrum. We found that such an assumption is not supported in our case study, due to the small-scale variations of topography and wind. The role of wind intensity and duration on the results from SAR is evaluated, and the inclusion of lake bathymetry and the SAR backscatter gradient is recommended for the future development of GMFs suitable for lake environments.

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Section: Introductionmentioning

confidence: 99%

Monitoring Lakes Surface Water Velocity with SAR: A Feasibility Study on Lake Garda, Italy

et al. 2021

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“…For instance, despite the high quality of freely available coastline databases, they cannot be directly applied to satellite images as the images have often been georeferenced using only the coordinates of the four image corners without ground control points (Biamino et al, 2015; Greidanus et al, 2004; Trivero et al, 2016). Therefore, the geo-positioning of the satellite images has limited accuracy and results in image shifts in the azimuth direction, and a consequent displacement of the land mask resulting in shifting of shorelines from the actual coastline and associated false alarms near the coast (Biamino et al, 2015; Greidanus et al, 2004; Trivero et al, 2016). On the other hand, commonly available land masks usually have accuracy limitations with small islands, intertidal areas and coastal man-made constructions leading to false alarms (Greidanus et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

An Improved Method of Land Masking for Synthetic Aperture Radar-based Ship Detection

2018

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Land masking of Synthetic Aperture Radar (SAR) images is generally accomplished by applying either archived shoreline databases or image segmentation. However, those methods cannot be solely applied to geographical areas complicated with many small islands and exposed rocks. Therefore, we have proposed a new procedure where Sobel edge extraction is applied to detect the edges of all objects from KOMPSAT-5 X-band SAR images, followed by a merging process with the edges from the land objects based on Electronic Navigational Chart (ENC) coastlines. Using the land mask data, geometrically corrected SAR images were masked before applying a ship detection algorithm. This land masking procedure was applied to several images covering different areas of the Korean Peninsula. The results show that land targets such as newly constructed and natural objects were also masked, and thus did not create false alarms during ship detection. Therefore, this method can be used to assist precise ship detection using SAR images in coastal waters.

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“…Unfortunately, besides the relatively high cost and a non-negligible rate of false alarms due to the variation of wind conditions, the presence of look-alikes, etc., the main limitation of SAR systems within an operational continuous monitoring system is represented by their low revisiting time, ranging from several days to dozens of days at mid-latitudes [13][14][15][16]. Even the full implementation of the COSMO-SkyMed satellite mission (an Italian mission with both military and civilian purposes) with four X-band SAR satellites in constellation [17] failed to guarantee an observation frequency suitable for operational surveillance activities.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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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.

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Automatic oil slick detection from SAR images: Results and improvements in the framework of the PRIMI pilot project

Cited by 9 publications

References 72 publications

Monitoring Lakes Surface Water Velocity with SAR: A Feasibility Study on Lake Garda, Italy

Monitoring Lakes Surface Water Velocity with SAR: A Feasibility Study on Lake Garda, Italy

An Improved Method of Land Masking for Synthetic Aperture Radar-based Ship Detection

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

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