4.7 Article

Detection of marine oil spills from radar satellite images for the coastal risk assessment

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

Marine oil spill detection using Synthetic Aperture Radar over Indian Ocean

Saima Naz et al.

Summary: The study analyzed four oil spill events over the Indian Ocean using Sentinel-1 satellite data and found that SAR-based oil spill detection is a cost-effective technique for mapping oil spills.

MARINE POLLUTION BULLETIN (2021)

Article Environmental Sciences

Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast

Qi Feng et al.

Summary: This study proposed an innovative framework for coastal sensitivity mapping that incorporated ecosystem service valuation and multidimensional assessment. The findings showed that provisioning services contributed most to the overall ecosystem service value, and sensitivity in different coastal domains differed in distribution and extent.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)

Article Environmental Sciences

A food chain-based ecological risk assessment model for oil spills in the Arctic environment

Faisal Fahd et al.

Summary: This study investigates the impacts of an oil spill on polar cod and apex marine mammals, predicting a higher mortality risk for beluga whales, polar bears, and Narwhals in the Arctic region. The timing and location of the spill have a significant impact on the animals due to unique sea ice dynamics, a simple food web, and short periods of food abundance.

MARINE POLLUTION BULLETIN (2021)

Article Environmental Sciences

Detection of Biogenic Oil Films near Aquaculture Sites Using Sentinel-1 and Sentinel-2 Satellite Images

Andromachi Chatziantoniou et al.

Summary: This study investigates the detection of biogenic oil films near aquaculture farms using satellite SAR and multispectral sensors. By preprocessing, main processing, and accuracy assessment stages, the study successfully detects the existence of the films with over 70% accuracy, showing Sentinel-1 SAR to be slightly more accurate than Sentinel-2 MSI in detection.

REMOTE SENSING (2021)

Review Environmental Sciences

Long-term changes of nutrients and biocenoses indicating the anthropogenic influences on ecosystem in Jiaozhou Bay and Daya Bay, China

Ling Zhang et al.

Summary: The study found significant changes in the ecosystems of Jiaozhou Bay and Daya Bay over the past 30 years, including increased nutrients, phytoplankton abundance, and shifts in macrobenthos. These changes are partially attributed to the influence of anthropogenic activities.

MARINE POLLUTION BULLETIN (2021)

Article Environmental Sciences

Spatial and temporal assessment of oil spills in the Mediterranean Sea

Semion Polinov et al.

Summary: Ship-generated oil pollution poses a significant threat to the Mediterranean Sea. An analysis of oil spills using three different databases revealed variations in spill densities. At the Exclusive Economic Zone level, oil spill densities were found to be positively correlated with shipping and port activity. Therefore, there is a need to develop an integrated database for more efficient prevention and response to oil spills.

MARINE POLLUTION BULLETIN (2021)

Review Environmental Sciences

Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review

Rami Al-Ruzouq et al.

REMOTE SENSING (2020)

Article Geochemistry & Geophysics

SAR Image Despeckling by Noisy Reference-Based Deep Learning Method

Xiaoshuang Ma et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Environmental Sciences

Oil Spill Detection and Mapping: A 50-Year Bibliometric Analysis

Rodrigo N. Vasconcelos et al.

REMOTE SENSING (2020)

Article Environmental Sciences

Distribution characteristics of microplastics in the seawater and sediment: A case study in Jiaozhou Bay, China

Yifan Zheng et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Article Environmental Sciences

Oil Spill Identification from Satellite Images Using Deep Neural Networks

Marios Krestenitis et al.

REMOTE SENSING (2019)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Review Multidisciplinary Sciences

Declining oxygen in the global ocean and coastal waters

Denise Breitburg et al.

SCIENCE (2018)

Article Environmental Sciences

Oil spill detection by imaging radars: Challenges and pitfalls

Werner Alpers et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Engineering, Electrical & Electronic

A Multisensor Comparison of Experimental Oil Spills in Polarimetric SAR for High Wind Conditions

Stine Skrunes et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)

Article Environmental Sciences

Combining hazard, exposure and social vulnerability to provide lessons for flood risk management

E. E. Koks et al.

ENVIRONMENTAL SCIENCE & POLICY (2015)

Review Fisheries

Ecological value of coastal habitats for commercially and ecologically important species

Rochelle D. Seitz et al.

ICES JOURNAL OF MARINE SCIENCE (2014)

Article Engineering, Electrical & Electronic

Oil Spill Mapping and Measurement in the Gulf of Mexico With Textural Classifier Neural Network Algorithm (TCNNA)

Oscar Garcia-Pineda et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2013)

Article Engineering, Industrial

Analytical hierarchy process-based framework for VMI adoption

Atul B. Borade et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2013)

Article Geography, Physical

Oil spill feature selection and classification using decision tree forest on SAR image data

Konstantinos Topouzelis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2012)

Article Oceanography

Oil spill hazard and risk assessment for the shorelines of a Mediterranean coastal archipelago

Antonio Olita et al.

OCEAN & COASTAL MANAGEMENT (2012)

Article Environmental Sciences

A socioeconomic and natural vulnerability index for oil spills in an Amazonian harbor: A case study using GIS and remote sensing

Milena Marilia Nogueira de Andrade et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2010)

Article Computer Science, Artificial Intelligence

Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression

Jin Yuan et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Oceanography

An improved C-band scatterometer ocean geophysical model function: CMOD5

H. Hersbach et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2007)

Review Environmental Sciences

Oil spill detection by satellite remote sensing

C Brekke et al.

REMOTE SENSING OF ENVIRONMENT (2005)

Article Geochemistry & Geophysics

Neural networks for oil spill detection using ERS-SAR data

F Del Frate et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2000)