Data

Analysis of Remotely Sensed Sea Ice Images Using an Expert System

Australian Ocean Data Network
Williams, R. ; WILLIAMS, RAYMOND
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.aad.gov.au/metadata/records/ASAC_687&rft.title=Analysis of Remotely Sensed Sea Ice Images Using an Expert System&rft.identifier=http://data.aad.gov.au/metadata/records/ASAC_687&rft.publisher=Australian Antarctic Data Centre&rft.description=From the abstract of some of the referenced papers: An expert system is being developed which will apply knowledge-based techniques to the automated interpretation of remotely sensed sea-ice images taken over East Antarctica by the NOAA series of meteorological satellites. It is capable of accepting satellite images, deriving characteristic features from them and then performing knowledge-based reasoning to identify regions of cloud, land, open water and various categories of sea-ice. XXXXXXXXXXXXX This paper describes the system design of SPARTEX, a system developed to use information from remote sensing and geographic information systems linked to expert systems. It aims to automate the process of classifying information about the actual or potential use of part of the earth's surface. See the link below for public details on this project.Progress Code: completedStatement: Values provided in temporal and spatial coverage are approximate only.&rft.creator=Williams, R. &rft.creator=WILLIAMS, RAYMOND &rft.date=2000&rft.coverage=westlimit=62.0; southlimit=-70.0; eastlimit=159.0; northlimit=-54.0&rft.coverage=westlimit=62.0; southlimit=-70.0; eastlimit=159.0; northlimit=-54.0&rft_rights=This metadata record is publicly available.&rft_rights=Copies of two publications are available for download from the provided URL to AAD staff only.&rft_rights= https://creativecommons.org/licenses/by/4.0/legalcode&rft_rights=This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=ASAC_687 when using these data. http://creativecommons.org/licenses/by/4.0/).&rft_rights=Portable Network Graphic&rft_rights=https://i.creativecommons.org/l/by/3.0/88x31.png&rft_rights=Creative Commons by Attribution logo&rft_rights=Attribution 4.0 International (CC BY 4.0)&rft_rights=Legal code for Creative Commons by Attribution 4.0 International license&rft_rights=Attribution 4.0 International (CC BY 4.0)&rft_rights= https://creativecommons.org/licenses/by/4.0/legalcode&rft_subject=oceans&rft_subject=EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE EXTENT&rft_subject=remote sensing&rft_subject=sea ice&rft_subject=SATELLITES&rft_subject=AMD/AU&rft_subject=CEOS&rft_subject=AMD&rft_subject=OCEAN > SOUTHERN OCEAN&rft_subject=GEOGRAPHIC REGION > POLAR&rft.type=dataset&rft.language=English Access the data
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https://creativecommons.org/licenses/by/4.0/legalcode

This data set conforms to the CCBY Attribution License
(http://creativecommons.org/licenses/by/4.0/).

Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=ASAC_687 when using these data.
http://creativecommons.org/licenses/by/4.0/).

Attribution 4.0 International (CC BY 4.0)

https://creativecommons.org/licenses/by/4.0/legalcode

This metadata record is publicly available.

Copies of two publications are available for download from the provided URL to AAD staff only.

Portable Network Graphic

https://i.creativecommons.org/l/by/3.0/88x31.png

Creative Commons by Attribution logo

Attribution 4.0 International (CC BY 4.0)

Legal code for Creative Commons by Attribution 4.0 International license

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Brief description

From the abstract of some of the referenced papers: An expert system is being developed which will apply knowledge-based techniques to the automated interpretation of remotely sensed sea-ice images taken over East Antarctica by the NOAA series of meteorological satellites. It is capable of accepting satellite images, deriving characteristic features from them and then performing knowledge-based reasoning to identify regions of cloud, land, open water and various categories of sea-ice. XXXXXXXXXXXXX This paper describes the system design of SPARTEX, a system developed to use information from remote sensing and geographic information systems linked to expert systems. It aims to automate the process of classifying information about the actual or potential use of part of the earth's surface. See the link below for public details on this project.

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Progress Code: completed
Statement: Values provided in temporal and spatial coverage are approximate only.

Data time period: 1993-09-30 to 1995-03-31

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159,-54 159,-70 62,-70 62,-54 159,-54

110.5,-62

text: westlimit=62.0; southlimit=-70.0; eastlimit=159.0; northlimit=-54.0

Subjects
AMD | AMD/AU | CEOS | EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE EXTENT | GEOGRAPHIC REGION > POLAR | OCEAN > SOUTHERN OCEAN | SATELLITES | oceans | remote sensing | sea ice |

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  • global : ASAC_687
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