Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Julian Linford"'
Autor:
Giuditta Lecca, Ladislav Hluchy, Luigi Fusco, Wim Som de Cerff, Viet Tran, Roberto Cossu, Benoit Gotab, Fabrizio Murgia, Vincent Badoux, Monique Petitdidier, Camiel Plevier, Julian Linford, Philippe Renard, Gerald Vetois, Horst Schwichtenberg
Publikováno v:
Earth Science Informatics
Earth Science Informatics, 2010, 3 (3), pp.135-148. ⟨10.1007/s12145-010-0045-4⟩
ICT FP7 Publications Database
OpenAIRE
Earth Science Informatics, Springer Link, 2010, 3 (3), pp.135-148. ⟨10.1007/s12145-010-0045-4⟩
Earth Science Informatics, 2010, 3 (3), pp.135-148. ⟨10.1007/s12145-010-0045-4⟩
ICT FP7 Publications Database
OpenAIRE
Earth Science Informatics, Springer Link, 2010, 3 (3), pp.135-148. ⟨10.1007/s12145-010-0045-4⟩
International audience; Due to its intensive data processing and highly distributed organization, the multidisciplinary Earth Science applications community is uniquely positioned for the uptake and exploitation of Grid technologies. Currently Enabli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc94d3341d1a4c36612ab43d1b5a97e4
https://hal.science/hal-00588639
https://hal.science/hal-00588639
Autor:
Monique Petitdidier, Mathieu Lonjaret, Julian Linford, Luigi Fusco, Ladislav Hluchy, M. Dobrucky, Wim-Jan Som de Cerff, Mikhail Zhinzhin, John van de Vegte, Camiel Plevier, Horst Schwichtenberg, Viet Tran
Publikováno v:
SPIE Proceedings.
The Earth Science (ES) community has two major IT related concerns: Modeling, which requires vast amounts of computational resources, and exploration and production of large shared data sets. Both can be accomplishable by Grid infrastructure. Grid or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52d3c9344ca5c6cb4fe397ed28add58b
https://doi.org/10.1117/12.737450
https://doi.org/10.1117/12.737450
Grid technology for the storage and processing of remote sensing data: description of an application
Publikováno v:
SPIE Proceedings.
Space missions involve the download,from space to ground, of many raw images per day. The analysis and sharing of these huge amounts of data is a big challenge for the remote sensing community. The emerging computational grid technologies are expecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf3c4f0e79d8d9cd4b0e5a6fb6df7e6f
https://doi.org/10.1117/12.462921
https://doi.org/10.1117/12.462921