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EO4WILDLIFE: a cloud platform to exploit satellite data for animal protection

EO4WILDLIFE: a cloud platform to exploit satellite data for animal protection
EO4WILDLIFE: a cloud platform to exploit satellite data for animal protection
EO4wildlife brings large number of multidisciplinary scientists such as marine biologists, ecologists and ornithologists to collaborate closely together while using European Sentinel Copernicus earth observation data more efficiently on a platform available over Internet dedicated to environment study and animal protection [1]. A comprehensive set of processing services and data connectors are available on the platform providing to scientists powerful tools to build innovative animal protection applications.
1831-9424
KJ-NA-28783-EN-N
European Union
Castel, F.
cdd27192-6603-44f4-a6d2-c30cc06340ec
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Rees, Alan F.
96f21006-c8e1-4084-8b50-7cdc277b6705
Soille, Pierre
Marchetti, Giorgio Pier
Castel, F.
cdd27192-6603-44f4-a6d2-c30cc06340ec
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Rees, Alan F.
96f21006-c8e1-4084-8b50-7cdc277b6705
Soille, Pierre
Marchetti, Giorgio Pier

Castel, F., Correndo, Gianluca and Rees, Alan F. (2017) EO4WILDLIFE: a cloud platform to exploit satellite data for animal protection. Soille, Pierre and Marchetti, Giorgio Pier (eds.) In Proceedings of the 2017 Conference on Big Data from Space. BIDS' 2017. European Union.. (doi:10.2760/383579).

Record type: Conference or Workshop Item (Paper)

Abstract

EO4wildlife brings large number of multidisciplinary scientists such as marine biologists, ecologists and ornithologists to collaborate closely together while using European Sentinel Copernicus earth observation data more efficiently on a platform available over Internet dedicated to environment study and animal protection [1]. A comprehensive set of processing services and data connectors are available on the platform providing to scientists powerful tools to build innovative animal protection applications.

Text
paper 115 - Author's Original
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More information

Published date: November 2017
Venue - Dates: Big Data from Space. BIDS' 2017, Toulouse, France, 2017-11-28 - 2017-11-30

Identifiers

Local EPrints ID: 416801
URI: https://eprints.soton.ac.uk/id/eprint/416801
ISSN: 1831-9424
PURE UUID: 9aa1ba66-fd00-4a79-8e6b-c6432e5d0f8e
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 10 Jan 2018 17:30
Last modified: 16 Mar 2019 01:32

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