<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210308</CreaDate>
<CreaTime>16552100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification GML3.2</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Q100_Road_Vehicle_Threat_Level_2021</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\bunsen\marinedata\Work\external\MPI\Bernard_Samoa\Samoa\Q100\Q100_2021.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_UTM_Zone_2S</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_UTM_Zone_2S&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,10000000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-171.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,32702]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;1900&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;32702&lt;/WKID&gt;&lt;LatestWKID&gt;32702&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20210308</SyncDate>
<SyncTime>16552400</SyncTime>
<ModDate>20210308</ModDate>
<ModTime>16552400</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="NZL"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Q100_General_Vehicle_2021</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs>_________________________________________________________________________________________________________________&lt;br /&gt;&lt;br /&gt;&lt;font size='3'&gt;&lt;b&gt;Item Page Created:&lt;/b&gt; 2021-04-21 01:26 &lt;br /&gt;&lt;b&gt;Item Page Last Modified:&lt;/b&gt; 2025-11-14 15:50&lt;br /&gt;Owner: Tilmann.Steinmetz@niwa.co.nz&lt;/font&gt;&lt;br /&gt;</idAbs>
<searchKeys>
<keyword>Julian.Sykes@niwa.co.nz</keyword>
<keyword>Archived Content</keyword>
<keyword>inundation</keyword>
<keyword>general vehicle</keyword>
<keyword>roads</keyword>
<keyword>Samoa</keyword>
<keyword>autometadata</keyword>
</searchKeys>
<idPurp>A non-revised Q100 general vehicle threat level 2021map</idPurp>
<idCredit>NIWA 2021</idCredit>
<resConst>
<Consts>
<useLimit>Copyright NIWA, Taihoro Nukurangi. Check with the data owner if you wish to use these data in your own project.</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="NZL"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="32702"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">2.1(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Q100_Road_Vehicle_Threat_Level_2021">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Q100_Road_Vehicle_Threat_Level_2021">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="3"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Q100_Road_Vehicle_Threat_Level_2021">
<enttyp>
<enttypl Sync="TRUE">Q100_Road_Vehicle_Threat_Level_2021</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">FID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">output_Gen</attrlabl>
<attalias Sync="TRUE">output_Gen</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">output_Eme</attrlabl>
<attalias Sync="TRUE">output_Eme</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_the_</attrlabl>
<attalias Sync="TRUE">asset_the_</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_osm_</attrlabl>
<attalias Sync="TRUE">asset_osm_</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_code</attrlabl>
<attalias Sync="TRUE">asset_code</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_fcla</attrlabl>
<attalias Sync="TRUE">asset_fcla</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_name</attrlabl>
<attalias Sync="TRUE">asset_name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_OBJE</attrlabl>
<attalias Sync="TRUE">asset_OBJE</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_VID</attrlabl>
<attalias Sync="TRUE">asset_VID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_Vill</attrlabl>
<attalias Sync="TRUE">asset_Vill</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_DID</attrlabl>
<attalias Sync="TRUE">asset_DID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_Dist</attrlabl>
<attalias Sync="TRUE">asset_Dist</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_Cens</attrlabl>
<attalias Sync="TRUE">asset_Cens</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_Ce_1</attrlabl>
<attalias Sync="TRUE">asset_Ce_1</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">asset_leng</attrlabl>
<attalias Sync="TRUE">asset_leng</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">hazard_DV</attrlabl>
<attalias Sync="TRUE">hazard_DV</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20210308</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA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</Data>
</Thumbnail>
</Binary>
</metadata>
