<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20201124</CreaDate>
<CreaTime>09160000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Watercourses and bodies</resTitle>
</idCitation>
<searchKeys>
<keyword>canal</keyword>
<keyword>coastline</keyword>
<keyword>dam</keyword>
<keyword>flat</keyword>
<keyword>lake</keyword>
<keyword>pondage area</keyword>
<keyword>reservoir</keyword>
<keyword>rockhole</keyword>
<keyword>rockpool</keyword>
<keyword>swamp</keyword>
<keyword>watercourse</keyword>
<keyword>waterfall</keyword>
<keyword>waterhole</keyword>
</searchKeys>
<idPurp>Inland watercourses and water bodies used in the Queensland Globe application.</idPurp>
<idAbs>This service displays inland water features of interest to most Queensland
Globe users. They are aimed at informing the user if a natural lake,
constructed lake, canal, watercourse, dam, rockpool or rockhole, waterhole,
waterfall, flat, swamp or pondage area is present at their location of
interest. The information display at relevant scale levels from the extent of
Queensland through to land parcel level.
The primary objective of this service is to provide a spatial representation
of Queensland's water features for topographic mapping, and should be
interpreted and utilised accordingly. It is not to replace high precision or
engineering mapping. Users are responsible for verifying the data's
appropriateness for their intended applications and for any conclusions or
actions derived from its use and should seek independent professional advice.
This service provides access to the following spatial datasets:
* _Farm dam_ (nat.water_waterbodypoints)
* _Pool or rockhole_ (nat.water_waterbodypoints)
* _Waterhole_ (nat.water_waterbodypoints)
* _Waterfall_ (nat.water_waterfalls)
* _Coastline_ (nat.water_coastline)
* _Flat or swamp_ (nat.water_waterbodyareas)
* _Pondage area_ (nat.water_pondageareas)
* _Lake_ (nat.water_waterbodyareas)
* _Reservoir_ (nat.water_waterbodyareas)
* _Canal line_ (nat.water_watercourselines)
* _Canal area_ (nat.water_waterbodyareas)
* _Watercourse lines_ (nat.water_watercourselines)
* _Watercourse area_ (nat.water_waterbodyareas)
* _Watercourse stream order_ (nat.water_watercourselines)
* _Water area edge_ (nat.water_shorelines)
</idAbs>
<idCredit>© State of Queensland (Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development) 2025</idCredit>
<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>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
