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dc.contributor.authorSummerhayes, C.
dc.contributor.authorDesa, E.
dc.contributor.authorSwamy, G.N.
dc.date.accessioned2009-01-09T09:13:34Z
dc.date.available2009-01-09T09:13:34Z
dc.date.issued2000
dc.identifier.citationThe Fifth Pacific Ocean Remote Sensing Conference (PORSEC), 5-8 December 2000. Proceedings,Vol.1; 389-396p.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/1693
dc.description.abstractThis paper discusses the implications of the recent progress in the implementation of Global Ocean Observing System (GOOS), to the satellite remote-sensing community. The imperatives are to increase the scales of observation and thus to extend the range of observable phenomena, with reduction in cost and effort. Since GOOS aims at being a systematic, routine and long-term observational arrangement, continuity in satellite missions is essential. Further, the occasional redundancies of satellite data could be treated as valuable data streams in their own right, e.g. for cross-calibration of sensors on different platforms. This is an important aspect the remote-sensing community needs to address. Remote sensing has been highly successful in observing the climatic component of the ocean. It is yet to reach this level of observational strength for the other GOOS components of Living Marine resources (LMR) and Health of the Ocean (HOTO), especially in coastal waters. Appropriate proxy parameters are to be devised for those oceanic variables not measured remotely as of date. In situ validation of these parameters through dedicated cruises, SOOP (Ships of Opportunity), drifters, Argo (the global array of profiling floats) and autonomous moored arrays is crucial. The tasks are thus to advance the function of remote-sensing algorithms to encompass those variables which are presently monitored by in situ systems, leaving these systems to act more as sea-truth validators than as in situ data suppliers.Successful implementation of GOOS therefore depends largely on critical scientific feedback on powerful satellite sensor technology, fine-tuning remote-sensing algorithms, and further data assimilation into real-time operational models.
dc.language.isoen
dc.publisherNIO, Dona Paula, Goa (India)
dc.rightsCopyright [2000]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
dc.subjectresearch programmes
dc.subjectplanning
dc.subjectsatellite sensing
dc.subjectremote sensing
dc.subjectmonitoring systems
dc.titleRemote-sensing imperatives of the Global Ocean Observing System (GOOS)
dc.typeConference Article


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