i4sea: a big data platform for sea area monitoring and analysis of fishing vessels activity

Autor:	Panagiotis Tampakis, Eva Chondrodima, Andreas Tritsarolis, Aggelos Pikrakis, Yannis Theodoridis, Kostis Pristouris, Harry Nakos, Panagiotis Kalampokis, Theodore Dalamagas
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	big data fishing vessel activity machine learning Mathematical geography. Cartography GA1-1776 Geodesy QB275-343
Zdroj:	Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-23 (2021)
Druh dokumentu:	article
ISSN:	1009-5020 1993-5153 10095020
DOI:	10.1080/10095020.2021.1971055
Popis:	The i4sea research project provides effective and efficient big data integration, processing, and analysis technologies to deliver both real-time and historical operational snapshots of fishing vessels activity in national sea areas. This paper presents the architecture of the i4sea big data platform for sea area monitoring and analysis of fishing vessels activity and demonstrates the operation of some use-case pilot scenarios.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/3f2cb1cfb384407795ae9f136ab0fc32 Zobrazit plný text záznamu View record in DOAJ