Title
Exploratory Data Analysis of Synthetic Aperture Radar (SAR) Measurements to Distinguish the Sea Surface Expressions of Naturally-Occurring Oil Seeps from Human-Related Oil Spills in Campeche Bay (Gulf of Mexico).
Abstract
An Exploratory Data Analysis (EDA) aims to use Synthetic Aperture Radar (SAR) measurements for discriminating between two oil slick types observed on the sea surface: naturally-occurring oil seeps versus human-related oil spillsthe use of satellite sensors for this task is poorly documented in scientific literature. A long-term RADARSAT dataset (2008-2012) is exploited to investigate oil slicks in Campeche Bay (Gulf of Mexico). Simple Classification Algorithms to distinguish the oil slick type are designed based on standard multivariate data analysis techniques. Various attributes of geometry, shape, and dimension that describe the oil slick Size Information are combined with SAR-derived backscatter coefficientssigma-(sigma(o)), beta-(beta(o)), and gamma-(gamma(o)) naught. The combination of several of these characteristics is capable of distinguishing the oil slick type with -70% of overall accuracy, however, the sole and simple use of two specific oil slick's Size Information (i.e., area and perimeter) is equally capable of distinguishing seeps from spills. The data mining exercise of our EDA promotes a novel idea bridging petroleum pollution and remote sensing research, thus paving the way to further investigate the satellite synoptic view to express geophysical differences between seeped and spilled oil observed on the sea surface for systematic use.
Year
DOI
Venue
2017
10.3390/ijgi6120379
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
Exploratory Data Analysis (EDA),sea surface monitoring,oil slick type differentiation,oil seep,oil spill,remote sensing,Synthetic Aperture Radar (SAR),RADARSAT-2
Racing slick,Satellite,Petroleum seep,Synthetic aperture radar,Remote sensing,Backscatter,Petroleum Pollution,Bay,Geology,Exploratory data analysis
Journal
Volume
Issue
ISSN
6
12
2220-9964
Citations 
PageRank 
References 
1
0.36
7
Authors
5