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...
Format: | Dataset |
---|---|
Language: | unknown |
Published: |
Australian Ocean Data Network
|
Subjects: | |
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 > CRYOSPHERE > SEA ICE > ICE EXTENT remote sensing sea ice SATELLITES AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > 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 > CRYOSPHERE > SEA ICE > ICE EXTENT remote sensing sea ice SATELLITES AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > POLAR |
spellingShingle |
oceans EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE EXTENT remote sensing sea ice SATELLITES AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > POLAR Analysis of Remotely Sensed Sea Ice Images Using an Expert System |
topic_facet |
oceans EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE EXTENT remote sensing sea ice SATELLITES AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > 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 |