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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1
A Multifrequency Polarimetric SAR Processing
Chain to Observe Oil Fields in the Gulf of Mexico
Maurizio Migliaccio, Senior Member, IEEE, Ferdinando Nunziata, Student Member, IEEE,
Antonio Montuori, Student Member, IEEE, Xiaofeng Li, Senior Member, IEEE, and
William G. Pichel, Member, IEEE
Abstract—Within the National Environmental Satellite, Data,
and Information Service, National Oceanic and Atmospheric Ad-
ministration, multiplatform synthetic aperture radar (SAR) im-
agery is being used to aid posthurricane and postaccident response
efforts in the Gulf of Mexico, such as in the case of the recent
Deepwater Horizon oil spill. The main areas of interest related to
such disasters are the following: 1) to identify oil pipeline leaks
and other oil spills at sea and 2) to detect man-made metallic
targets over the sea. Within the context of disaster monitoring and
response, an innovative processing chain is proposed to observe
oil fields (i.e., oil spills and man-made metallic targets) using both
L- and C-band full-resolution and fully polarimetric SAR data.
The processing chain consists of two steps. The first one, based
on the standard deviation of the phase difference between the
copolarized channels, allows oil monitoring. The second one, based
on the different symmetry properties that characterize man-
made metallic targets and natural distributed ones, allows man-
made metallic target observation. Experiments, accomplished
over single-look complex L-band Advanced Land Observing
Satellite (ALOS) Phased Array type L-band Synthetic Aperture
Radar (PALSAR) and C-band RADARSAT-2 fully polarimet-
ric SAR data gathered in the Gulf of Mexico and related to
the Deepwater Horizon accident, show the effectiveness of the
proposed approach. Furthermore, the proposed approach, being
able to process both L- and C-band fully polarimetric and full-
resolution SAR measurements, can take full benefit of both the
ALOS PALSAR and RADARSAT-2 missions, and therefore, it
allows enhancing the revisit time and coverage which are very
critical issues in oil field observation.
Index Terms—Gulf of Mexico, man-made metallic target detec-
tion, oil spill detection, synthetic aperture radar (SAR).
Manuscript received October 29, 2010; revised February 8, 2011 and April 9,
2011; accepted May 19, 2011. This work was supported in part by the Italian
Space Agency (ASI) under the contract I/066/090: “SAR Remote Sensing for
Sea Oil Slick observation”.
M. Migliaccio, F. Nunziata, and A. Montuori are with the Dipartimento per
le Tecnologie, Universitá degli Studi di Napoli “Parthenope,” 80143 Napoli,
Italy (e-mail: maurizio.migliaccio@uniparthenope.it; ferdinando.nunziata@
uniparthenope.it; antonio.montuori@uniparthenope.it).
X. Li is with the I. M. Systems Group/National Environmental Satellite,
Data, and Information Service, National Oceanic and Atmospheric Adminis-
tration, Camp Springs, MD 20746 USA (e-mail: Xiaofeng.Li@noaa.gov).
W. G. Pichel is with the Center for Satellite Applications and Research,
National Environmental Satellite, Data, and Information Service, National
Oceanic and Atmospheric Administration, Camp Springs, MD 20746 USA
(e-mail: William.G.Pichel@noaa.gov).
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TGRS.2011.2158828
I. I NTRODUCTION
T
HE GULF OF Mexico is one of the largest basins in the
world, located south of the U.S. and north of Mexico. It
serves an important role in the worldwide economy due to its
oil fields that are at the core of the petrochemical industry of
the U.S. In fact, there are thousands of oil and gas rigs a few
miles away from the coast running from Texas to Louisiana and
the state of Mississippi. A recent estimate indicates that there
are approximately, in June 2010, 3445 oil and gas structures in
the Gulf of Mexico, producing, in October 2010, 29% of the oil
and 13% of the natural gas produced in the U.S. [1]. However,
these oil rigs pose an important environmental risk in the case of
disasters and accidents, such as the recent massive Deepwater
Horizon oil spill, which is considered the largest offshore spill
in U.S. history.
In addition to such disasters/accidents, the Gulf of Mexico
is prone to hurricanes. During such events, man-made metallic
infrastructures, such as oil rigs, can be wrecked or destroyed,
accompanied by release of oil at sea [2]. Therefore, both oil-at-
sea monitoring and man-made metallic target observation are
very important issues. They represent two complex activities
that cannot be solved just by means of conventional observa-
tion techniques, i.e., coast guard ships and aerial observation.
Accordingly, coastal managers are continuously interested in
knowing the real-time positions of all the oil rigs, particularly
after the passage of hurricanes. The main reason for such an
observation is to identify possible oil pipeline leaks on the sea
surface and to detect changes in man-made metallic targets,
thus providing firsthand information on potential oil drilling
infrastructure damage. Within such a framework, synthetic
aperture radar (SAR) plays a fundamental role since it allows
overcoming the constraints of in situ techniques and ensures
improved spatial/temporal coverage. SAR is an active coherent
band-limited microwave high-resolution sensor that can make
daytime and nighttime measurements almost independent of at-
mospheric conditions. However, observing oil slicks and man-
made metallic targets at sea by means of SAR is not an easy
task due to both technical, e.g., false alarms, speckle, etc., and
technological, e.g., spatial resolution, spatial and/or temporal
coverage, etc. In this paper, for the first time, a polarimetric
approach that embodies both oil slick and man-made metallic
target observations is proposed. In order to properly frame this
paper, the relevant state of the art is hereafter briefly summa-
rized. Since the states of the art of SAR oil slick observation
and SAR man-made metallic target detection are disjoint, they
are described separately.
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