The SEAGOSS project: Monitoring coastal seawater in Italy by remote sensing data

Author

De Martino, Michaela ; Dellepiane, Silvana ; Gemme, Laura ; Moser, Gabriele ; Serpico, Sebastiano B. ; Toma, Matteo ; Degano, Cristiana ; Loiaconi, Aldo ; Mainenti, Ilaria ; Cusati, Luis Alberto ; Pedroncini, Andrea

Author_Institution

Dept. of Electr., Electron., Telecommun. Eng. & Naval Archit. (DITEN), Univ. of Genoa, Genoa, Italy

fYear

2014

fDate

13-18 July 2014

Firstpage

4454

Lastpage

4457

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.

Keywords

environmental monitoring (geophysics); marine pollution; oceanographic regions; oceanographic techniques; oil pollution; remote sensing; seawater; sediments; DHI Italia; Danish Hydraulic Institute; Earth Observation data; Genoa; Gruppo SIGLA S.r.l; Italian SME; Italy; SEAGOSS project; coastal monitoring; coastal seawater monitoring; information system; management system; ocean monitoring; oil slick detection; pattern recognition technique; remote sensing data processing; sea monitoring; sea state modeling; sea water pollution; sediments; warning system; Data models; Estimation; Monitoring; Remote sensing; Sea measurements; Shape; Support vector machines; Coastal monitoring; Support Vector Machines; marine circulation model; oil slicks; satellite data;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947480

Filename

6947480