Oil Spills Detection on Sea Surface by using Sentinel–1 SAR Images

Alexandrov, Chavdar; Kolev, Nikolay Ivanov; Sivkov, Yordan; Hristov, Avgustin; Цветков, Мирослав

doi:10.1109/siela49118.2020.9167148

Cited by 8 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The availability of ground-based data in addition allows effective and cost-effective monitoring of climate change in remote areas using SAR data. The SAR C-band enables the effective study of various objects [5][6][7][8][9][10][11][12][13][14][15] and especially wet snow and ice 3,4,[16][17][18][19] . Using SAR data, we studied the type of changes in the digital value of the reflected signal (Q) from various objects, including water in different phase states.…”

Section: Introductionmentioning

confidence: 99%

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

Spasova,

Avetisyan

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

View full text Add to dashboard Cite

Data-driven innovations bring significant benefits to societies directly affected by global warming, as they underpin Global and European climate change policy. The application of a synchronous approach and interoperability of data from different sources for environmental monitoring in one of the most vulnerable to climate change regions in the World is the aim of this research. The research was conducted at Hannah Point peninsula, near the Bulgarian Antarctic base "St. Kliment Ohridski" on Livingstone Island, South Shetland Islands, Antarctica. The study area has high ecological importance for tracking the dynamics of processes not only on a local but also on a global scale. Various research sites with different groups of objects serving as environmental benchmarks were selected to be studied. The study objects include snow cover, wet snow, water, ice (including sea ice), herbaceous vegetation, lichens, mosses, soils, and sand. For each of the objects, ground GPS points were defined and in situ spectrometric measurements were performed. Data from an innovative automatic recording weather station (AWG), as well as various indicators and indices based on the spectral reflectance characteristics of the investigated objects in the optical and microwave range, were used. For their generation were used satellite images from Sentinel-1 and Sentinel-2 sensors of European Space Agency. Multiple optical indices were used to demonstrate the changes in the state of the objects for the summer season of 2022-2023. The data obtained and models used will serve the Bulgarian initiative for the construction of the Digital Twins, which is being on pilot developed in the Department of Aerospace Information (SRTI-BAS) and could be used by a wide range of scientists in the field of polar research as well as for climate change education. Open Data were used in this study, to promote the Open science policy and FAIR principles as much as possible.

show abstract

Section: Introductionmentioning

confidence: 99%

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

Spasova,

Avetisyan

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

View full text Add to dashboard Cite

show abstract

“…The contrast between VV and VH channels can be used to differentiate oil spills from the clean ocean surface. Later, amplitudes and intensities of VV and VH channels were used along with the CFAR algorithm on the raw Sentinel-1 data [20]. Subsequently, the Euclidean and J-M distances were used to filter the dominant features from the Sentinel-1 SAR data [21].…”

Section: Introductionmentioning

confidence: 99%

Clustering of Marine Oil-Spill Extent Using Sentinel-1 Dual-Polarimetric Scattering Spectrum

Paul,

Dey,

Marino

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Oil spills pose a significant threat to the maritime ecosystem. Identifying an oil spill is vital to assess its spread and drift to nearby coastal areas. Synthetic Aperture Radar (SAR) sensors are viable for mapping and monitoring marine oil spills. This study proposes a new technique that utilizes the dual-polarimetric Sentinel-1 SAR data. The method is based on projecting the 2 × 2 covariance matrix onto distinct random realizations of the normalized scattering configuration. We then obtain the dual-polarimetric spectrum of the scattering-type parameter, θDP. The θDP spectrum is then used in the unsupervised K-means clustering technique to segment oil spills from the rest. The cluster findings are then compared to the accuracies obtained using the standard scattering-type parameters from the eigen-decomposition approach (VV, VH) intensities and Otsu thresholding of [H + α + A] parameter. We demonstrate the proposed approach by clustering marine oil-spill extent over parts of India, Kuwait, the United Arab Emirates, and the Mediterranean Sea obtained by Sentinel-1 SAR images. We observed that the clustering accuracy of the proposed technique outperforms the ones obtained from the channel (i.e., VV and VH) intensities, Otsu thresholding of [H + α + A] parameter, and the eigen-decomposition based method. The proposed approach improves the overall accuracy by ≈ 8 % and ≈ 20 % respectively over different study areas.

show abstract

“…The hydrodynamical core is based on NEMO general circulation ocean model (version 3.6; Madec et al, 2016), implemented in the BS domain with horizontal resolution of 1/27° x 1/36° and 31 vertical levels. NEMO is forced by atmospheric surface fluxes computed by bulk formulation using ECMWF ERA5 atmospheric fields at the resolution of 0.25° in space and 1-h in time [5,6,9,10,11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

An approach for determination of sea surface plastic waste transport routes using Copernicus Marine Service products

Цветков

2022

Earth Resources and Environmental Remote Sensing/Gis Applications XIII

View full text Add to dashboard Cite

In recent years, many reports have shown increasing pollution of the world's oceans with plastic waste, even the formation of plastic islands on the sea surface. Considering that marine currents are the major factor of the plastic waste movement into the marine environment, an approach for determining of sea surface flows using zonal and meridional components of ocean currents velocity data of “Physics analysis and forecast” products delivered by Copernicus Marine Service. By numerical modeling and simulations in MATLAB environment are derived sea surface flows which are considered to be the main transport routes of plastic waste on the sea surface. A georeferenced map, as a result of study focused on the West Black Sea aquatory is presented.

show abstract

Oil Spills Detection on Sea Surface by using Sentinel–1 SAR Images

Cited by 8 publications

References 7 publications

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

Clustering of Marine Oil-Spill Extent Using Sentinel-1 Dual-Polarimetric Scattering Spectrum

An approach for determination of sea surface plastic waste transport routes using Copernicus Marine Service products

Contact Info

Product

Resources

About