Objective
Ports are highly affected by ocean conditions and pollution events near the Port. Moreover, European legislation is also requesting better information. A remote and continuous monitoring of a wider geographical area is a key aspect for improving the understanding port environment phenomena, as well as anticipating risk situations that will affect the port.
There are a large number of systems in place to gather relevant geo-information data, mainly meteorological, water quality, oceanographic and pollution related. However, it is clear that the systems used presently are in-situ sensors and are mainly used to gather specific data within or near the port area. Improving information flow by increasing the number of in-situ sensors deployed is a costly investment strategy. Space data is seriously underused by Port Authorities due to different obstacles, although it space data is becoming more and more available appears that EO data is able to provide valuable information in areas near the coastline.
At the same time, projects such as the FP6 IP MERSEA focus on the delivery of oceanographic products exploiting space data and model innovation. These data products are very relevant to Ports. PEARL will seek to address the above issues by developing a Port Environmental Management System enabling the optimal exploitation of space and in situ data products. Pearl aims at providing, for the first time, a platform focusing on Ports and their environmental problems for user friendly access of in situ and space data and models, and their efficient combination. Pearl aims at educating the user community on the information content available from space and in-situ instruments, as well as on current limitations.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencesearth and related environmental scienceshydrology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
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Topic(s)
Call for proposal
FP6-2003-SPACE-1
See other projects for this call
Funding Scheme
STREP - Specific Targeted Research ProjectCoordinator
MADRID
Spain