<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210621</CreaDate>
<CreaTime>13594100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>625000</minScale>
<maxScale>50000</maxScale>
</scaleRange>
<ArcGISProfile>ISO19139</ArcGISProfile>
<DataProperties>
<itemProps>
<imsContentType export="False"/>
</itemProps>
</DataProperties>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Geographical features</resTitle>
</idCitation>
<idPurp>A read only service for layers under Geographical Features/Names Data Theme and represents geographic objects of the natural environment. All layers are in GDA2020.</idPurp>
<idAbs>Geographical features encompass features whose primary characteristics relate
to identifying places and provide location identifiers for generally named,
natural land formations and features of the real world. Features are
attributed with source information and names where available.
The primary objective of this data is to provide a cartographic portrayal of
Queensland's geographic features and should be interpreted and utilised
correctly. It is suitable for use in land administration, emergency
management, topographic mapping and in the production of web based mapping
applications. Zoom scale limits are applied for service performance.
Data is captured on an as-needed basis and may include features with
indeterminate boundaries, the extents of which are determined through
professional judgment. This data delivery service is configured with minimal
symbolization to enable consumers to implement their own cartographic styling.
This service provides access to the following spatial datasets:
* _Terrain points_ (nat.geo_terrainpoints)
* _Linear landforms_ (nat.geo_linearlandforms)
* _State border_ (nat.geo_stateborder)
* _Natural regions_ (nat.geo_naturalregions)
* _Islands_ (nat.geo_islands)
* _Reefs_ (nat.geo_reefs)
* _Bays_ (nat.geo_bays)
* _Island groups_ (nat.geo_islandgroups)
* _Mainland_ (nat.geo_mainland)
* _Seas_ (nat.geo_seas)
</idAbs>
<idCredit>© State of Queensland (Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development) 2025</idCredit>
<searchKeys>
<keyword>SIR-QGov</keyword>
<keyword>topographic</keyword>
<keyword>Geographic</keyword>
<keyword>Queensland</keyword>
<keyword>Bays</keyword>
<keyword>Coves</keyword>
<keyword>Gulfs</keyword>
<keyword>Deserts</keyword>
<keyword>Peninsulas</keyword>
<keyword>Mountain Ranges</keyword>
<keyword>Beaches</keyword>
<keyword>Sea Passages</keyword>
<keyword>Mountain Peaks</keyword>
<keyword>Capes</keyword>
<keyword>Cliff Points</keyword>
<keyword>Head</keyword>
<keyword>Mainland</keyword>
<keyword>Marine Islands</keyword>
<keyword>Terrestrial Islands</keyword>
<keyword>Reefs</keyword>
<keyword>Shoals</keyword>
<keyword>Island Groups</keyword>
<keyword>Natural regions</keyword>
<keyword>Spit</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>© State of Queensland (Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development) 2025
[![Creative Commons — Attribution 4.0 International Logo](https://licensebuttons.net/l/by/4.0/88x31.png)](https://creativecommons.org/licenses/by/4.0/) This service is licenced under a [Creative Commons — Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) licence.
Attribution is requested in the following manner: © State of Queensland (Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development) 2025.</useLimit>
</Consts>
</resConst>
<tpCat>
<TopicCatCd value="013"/>
</tpCat>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20230802</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
