<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20230813</CreaDate>
        <CreaTime>14554100</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <DataProperties/>
    </Esri>
    <dataIdInfo>
        <idAbs>&lt;div&gt;Recommend to use the fire perimeters dataset provided by Maui County GIS.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;This is a preliminary product not suitable for public release. Use this layer for display purposes in internal documents and briefings, for operational planning, and for estimated exposure analysis.&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Fire Perimeters:&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;Lahainaluna&lt;/li&gt;&lt;li&gt;Pulehu/Kihei&lt;/li&gt;&lt;li&gt;Olinda&lt;/li&gt;&lt;li&gt;Kula&lt;/li&gt;&lt;/ul&gt;&lt;div&gt;*Digitized from Vexcels ultra high-resolution imagery; other perimeters digitized from Maxar imagery.&lt;/div&gt;&lt;/div&gt;</idAbs>
        <idPurp>Fire perimeters hand digitized from Vexcel and Maxar imagery datasets.</idPurp>
        <idCredit>FEMA Region 9</idCredit>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    <searchKeys><keyword>DR4724</keyword><keyword>DR4724-HI</keyword><keyword>fire</keyword><keyword>vexcel</keyword><keyword>maxar</keyword></searchKeys></dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>