Abstract:
In the context of sea and ocean monitoring by Earth Observation (EO) data, this paper illustrates the activity of the SEAGOSS1 (“Information, warning, and management syst...Show MoreMetadata
Abstract:
In the context of sea and ocean monitoring by Earth Observation (EO) data, this paper illustrates the activity of the SEAGOSS1 (“Information, warning, and management system for sea water pollution from oil slick and sediments,” 2012-2014) project, carried out in collaboration with an Italian SME Gruppo SIGLA S.r.l. and DHI Italia (former Danish Hydraulic Institute) both located in Genoa, Italy. The proposed paper presents here the added value of advanced pattern recognition techniques to process remote sensing data to model sea state, in application as coastal monitoring and oil slick detection.
Published in: 2014 IEEE Geoscience and Remote Sensing Symposium
Date of Conference: 13-18 July 2014
Date Added to IEEE Xplore: 06 November 2014
Electronic ISBN:978-1-4799-5775-0