The success in
the management of a
marine pollution accident that involves a spill depends on several
factors such as the ability to detect the spills, the capabilities to
follow the movement of the slicks, and the capabilities to predict the
fate and behaviour of the pollutant over time. Different approaches and
technologies can be applied for those purposes that will support the
decision making process in terms of equipment deployment and protection
of sensitive areas. The use of trackers (buoys and dyes) is common to
follow the location of spills on a continuous way. However, their
behaviour is not exactly the same of the followed product being
necessary to know the difference of the drift between the real spill
and the tracer. Modeling tools allow for analyzing and forecasting the
motion of pollutants but calibration and validation studies are needed
to improve their reliability. In the other hand, Synthetic Aperture
Radar (SAR) has demonstrated to be a suitable tool for monitoring of
oil spills at sea. Nevertheless, the discrimination of oil spill in SAR
images can be complicated by other phenomena which resembles oil spill.
the effectiveness of all
these technologies that contribute to a better localization and follow
up of slicks has been demonstrated during recent spill events,
limitations and gaps still remain and deserve additional efforts.
DRIFTER approaches these gaps and focuses on the development and
improvement of detections and forecasting technologies.
objectives are the following:
Improvement of the capability to follow up spills by:
i) Identification of the most suitable
drifting buoys to be used for the different types of spills.
ii) Exploration of application of dyes to
mark a colorless slick of chemical.
iii) Application of satellite and remote
Improvement of the capability to forecast drifts of oil, hazardous
noxious substances (HNS) and inert.
Review, identification and adaptation of oil spill
monitoring and forecasting technologies to predict the behaviour and
drifts of HNS and inert.
Elaboration of protocols for data exchange and management.
Wide dissemination of results to stakeholders and
RESULTS AND IMPACT:
expected outcomes of the project
are of high applicability and include among others guidelines for
drifters and dyes application, wind and wave coefficients, operational
models, good practices protocols for communication and data exchange,
new algorithms for segmentation, characterization and discrimination of
oil spills, spectral studies of the different pollutants and
information on the most adequate bands for their detection. They will
be transferred to key stakeholders and organizations in charge of spill
response by using different channels of communication: partner web
sites, participation in conferences and congresses, publication of
scientific articles and organization of a Workshop at the end of the
project. Moreover, a site of reference will be created on INTECMAR web
site that will include field measurement observation data obtained with
the different models as well as the coefficients and their technical
features. Data will be downloaded from this website to be used by other
researchers working on this field. This site will be kept operational
after the project lifetime.
project approaches are of immediate relevance for other coastal areas.
A solid knowledge of trackers behaviour and dyes performance can be
useful, no matter where they are used, in order to have the real
position of the spill in a continuous way. The expected development and
improvement of modelling tools will provide the knowledge and
technology required to more easily predict the trajectory and behaviour
pollutants in other regions as they are scalable and adaptable to
different geographic areas. Information on Drifter outcomes will be
distributed to a wide range of policy makers and stakeholders from
coastal EU countries.
- CETMAR - Centro Tecnologico del Mar, Spain
- INTECMAR - Instituto Tecnologico para el Control del Medio Marino de
- University of Vigo, Spain
framework of DRIFTER project,
it has been developed a semiautomatic oil spill detection system from
Advanced Syntethic Aperture Radar (ASAR) for the Galician area. The
system includes different algorithms for segmentation, characterization
and discrimination. It allows working with ASAR Width Swath images
(around 150 meters resolution), which are adequate to detect oil spills
in open ocean areas, and also with ASAR Full Resolution (FR) images (up
to 12.5 meters resolution), which might be useful to detect oil on
coastal areas and in the inner parts of the Galician Rias.
The system also admits the possibility of incorporating additional data
which allow us to create masks that can be used as an aid to identify
look-alikes. Masks might be applied before the segmentation step in
order to obtain a look-alikes dataset to train the classification
algorithms and to verify the results of that classification.
All the algorithms have been developed using gvSIG, a free Geographic
Information System (GIS) software based on JAVA language. The tools
have been incorporated as an extension called SIDEGA-SAR.
description (manual) of SIDEGA-SAR
detailed information about
Remote Sensing and GIS
University of Vigo,