Analysis of Remotely Sensed Sea Ice Images Using an Expert System

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

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Bibliographic Details
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
AMD
Online Access:https://researchdata.edu.au/analysis-remotely-sensed-expert-system/2819784
id ftands:oai:ands.org.au::2819784
record_format openpolar
spelling ftands:oai:ands.org.au::2819784 2023-12-03T10:13:33+01:00 Analysis of Remotely Sensed Sea Ice Images Using an Expert System Spatial: westlimit=62; southlimit=-70.0; eastlimit=159; northlimit=-54.0 Temporal: From 1993-09-30 to 1995-03-31 https://researchdata.edu.au/analysis-remotely-sensed-expert-system/2819784 unknown Australian Ocean Data Network https://researchdata.edu.au/analysis-remotely-sensed-expert-system/2819784 ASAC_687 AU/AADC > Australian Antarctic Data Centre, Australia oceans EARTH SCIENCE &gt CRYOSPHERE &gt SEA ICE &gt ICE EXTENT remote sensing sea ice SATELLITES AMD/AU CEOS AMD OCEAN &gt SOUTHERN OCEAN GEOGRAPHIC REGION &gt POLAR dataset ftands 2023-11-06T23:51:20Z Progress Code: completed Statement: Values provided in temporal and spatial coverage are approximate only. 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. Dataset Antarc* Antarctica East Antarctica Sea ice Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Southern Ocean East Antarctica
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic oceans
EARTH SCIENCE &gt
CRYOSPHERE &gt
SEA ICE &gt
ICE EXTENT
remote sensing
sea ice
SATELLITES
AMD/AU
CEOS
AMD
OCEAN &gt
SOUTHERN OCEAN
GEOGRAPHIC REGION &gt
POLAR
spellingShingle oceans
EARTH SCIENCE &gt
CRYOSPHERE &gt
SEA ICE &gt
ICE EXTENT
remote sensing
sea ice
SATELLITES
AMD/AU
CEOS
AMD
OCEAN &gt
SOUTHERN OCEAN
GEOGRAPHIC REGION &gt
POLAR
Analysis of Remotely Sensed Sea Ice Images Using an Expert System
topic_facet oceans
EARTH SCIENCE &gt
CRYOSPHERE &gt
SEA ICE &gt
ICE EXTENT
remote sensing
sea ice
SATELLITES
AMD/AU
CEOS
AMD
OCEAN &gt
SOUTHERN OCEAN
GEOGRAPHIC REGION &gt
POLAR
description Progress Code: completed Statement: Values provided in temporal and spatial coverage are approximate only. 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.
format Dataset
title Analysis of Remotely Sensed Sea Ice Images Using an Expert System
title_short Analysis of Remotely Sensed Sea Ice Images Using an Expert System
title_full Analysis of Remotely Sensed Sea Ice Images Using an Expert System
title_fullStr Analysis of Remotely Sensed Sea Ice Images Using an Expert System
title_full_unstemmed Analysis of Remotely Sensed Sea Ice Images Using an Expert System
title_sort analysis of remotely sensed sea ice images using an expert system
publisher Australian Ocean Data Network
url https://researchdata.edu.au/analysis-remotely-sensed-expert-system/2819784
op_coverage Spatial: westlimit=62; southlimit=-70.0; eastlimit=159; northlimit=-54.0
Temporal: From 1993-09-30 to 1995-03-31
geographic Southern Ocean
East Antarctica
geographic_facet Southern Ocean
East Antarctica
genre Antarc*
Antarctica
East Antarctica
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctica
East Antarctica
Sea ice
Southern Ocean
op_source AU/AADC > Australian Antarctic Data Centre, Australia
op_relation https://researchdata.edu.au/analysis-remotely-sensed-expert-system/2819784
ASAC_687
_version_ 1784260368514678784