<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    	
    <Esri>
        		
        <CreaDate>20260325</CreaDate>
        		
        <CreaTime>15313500</CreaTime>
        		
        <ArcGISFormat>1.0</ArcGISFormat>
        		
        <SyncOnce>FALSE</SyncOnce>
        		
        <DataProperties>
            			
            <itemProps>
                				
                <itemName Sync="TRUE">BuildingFootprintsSE</itemName>
                				
                <imsContentType Sync="TRUE">002</imsContentType>
                			
            </itemProps>
            			
            <coordRef>
                				
                <type Sync="TRUE">Projected</type>
                				
                <geogcsn Sync="TRUE">GCS_North_American_1983_HARN</geogcsn>
                				
                <csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
                				
                <projcsn Sync="TRUE">NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet</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/3.5.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983_HARN&amp;quot;,DATUM[&amp;quot;D_North_American_1983_HARN&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,45.83333333333334],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,47.33333333333334],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,45.33333333333334],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2927]]&lt;/WKT&gt;&lt;XOrigin&gt;-117498300&lt;/XOrigin&gt;&lt;YOrigin&gt;-98850300&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&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;0.0032808333333333331&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;2927&lt;/WKID&gt;&lt;LatestWKID&gt;2927&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
                			
            </coordRef>
            		
        </DataProperties>
        		
        <SyncDate>20260325</SyncDate>
        		
        <SyncTime>15451800</SyncTime>
        		
        <ModDate>20260325</ModDate>
        		
        <ModTime>15451800</ModTime>
        	
    </Esri>
    	
    <dataIdInfo>
        		
        <envirDesc Sync="FALSE">Esri ArcGIS 13.5.5.57366</envirDesc>
        		
        <dataLang>
            			
            <languageCode Sync="TRUE" value="eng">
			</languageCode>
            			
            <countryCode Sync="TRUE" value="USA">
			</countryCode>
            		
        </dataLang>
        		
        <idCitation>
            			
            <resTitle>Building Footprints - DNR SE Region</resTitle>
            			
            <presForm>
                				
                <PresFormCd Sync="TRUE" value="005">
				</PresFormCd>
                			
            </presForm>
            		
        </idCitation>
        		
        <spatRpType>
            			
            <SpatRepTypCd Sync="TRUE" value="001">
			</SpatRepTypCd>
            		
        </spatRpType>
        		
        <idPurp>Building footprint polygons for the DNR Southeast Region, optimized for wildland fire planning.</idPurp>
        		
        <idAbs>Building footprints extracted from Microsoft US Building Footprints and clipped to the WA DNR SE Region boundary. Data is configured for display at scales of 1:24,000 or larger to optimize performance. Intended use: Wildland fire planning and response.</idAbs>
        		
        <idCredit>Washington State Department of Natural Resources</idCredit>
        		
        <searchKeys>
            			
            <keyword>WA DNR</keyword>
            			
            <keyword>SE Region</keyword>
            			
            <keyword>Building Footprints</keyword>
            			
            <keyword>Wildland Fire</keyword>
            		
        </searchKeys>
        		
        <resConst>
            			
            <Consts>
                				
                <useLimit/>
                			
            </Consts>
            		
        </resConst>
        	
    </dataIdInfo>
    	
    <mdLang>
        		
        <languageCode Sync="TRUE" value="eng">
		</languageCode>
        		
        <countryCode Sync="TRUE" value="USA">
		</countryCode>
        	
    </mdLang>
    	
    <distInfo>
        		
        <distFormat>
            			
            <formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
            		
        </distFormat>
        	
    </distInfo>
    	
    <mdHrLv>
        		
        <ScopeCd Sync="TRUE" value="005">
		</ScopeCd>
        	
    </mdHrLv>
    	
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    	
    <refSysInfo>
        		
        <RefSystem>
            			
            <refSysID>
                				
                <identCode Sync="TRUE" code="2927">
				</identCode>
                				
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                				
                <idVersion Sync="TRUE">6.3(9.0.0)</idVersion>
                			
            </refSysID>
            		
        </RefSystem>
        	
    </refSysInfo>
    	
    <spatRepInfo>
        		
        <VectSpatRep>
            			
            <geometObjs Name="BuildingFootprintsSE">
                				
                <geoObjTyp>
                    					
                    <GeoObjTypCd Sync="TRUE" value="002">
					</GeoObjTypCd>
                    				
                </geoObjTyp>
                				
                <geoObjCnt Sync="TRUE">0</geoObjCnt>
                			
            </geometObjs>
            			
            <topLvl>
                				
                <TopoLevCd Sync="TRUE" value="001">
				</TopoLevCd>
                			
            </topLvl>
            		
        </VectSpatRep>
        	
    </spatRepInfo>
    	
    <spdoinfo>
        		
        <ptvctinf>
            			
            <esriterm Name="BuildingFootprintsSE">
                				
                <efeatyp Sync="TRUE">Simple</efeatyp>
                				
                <efeageom Sync="TRUE" code="4">
				</efeageom>
                				
                <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="BuildingFootprintsSE">
            			
            <enttyp>
                				
                <enttypl Sync="TRUE">BuildingFootprintsSE</enttypl>
                				
                <enttypt Sync="TRUE">Feature Class</enttypt>
                				
                <enttypc Sync="TRUE">0</enttypc>
                			
            </enttyp>
            			
            <attr>
                				
                <attrlabl Sync="TRUE">OBJECTID</attrlabl>
                				
                <attalias Sync="TRUE">OBJECTID</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">release</attrlabl>
                				
                <attalias Sync="TRUE">release</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">capture_dates_range</attrlabl>
                				
                <attalias Sync="TRUE">capture_dates_range</attalias>
                				
                <attrtype Sync="TRUE">String</attrtype>
                				
                <attwidth Sync="TRUE">2000000000</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>
            			
            <attr>
                				
                <attrlabl Sync="TRUE">Shape_Area</attrlabl>
                				
                <attalias Sync="TRUE">Shape_Area</attalias>
                				
                <attrtype Sync="TRUE">Double</attrtype>
                				
                <attwidth Sync="TRUE">8</attwidth>
                				
                <atprecis Sync="TRUE">0</atprecis>
                				
                <attscale Sync="TRUE">0</attscale>
                				
                <attrdef Sync="TRUE">Area of feature in internal units squared.</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">20260325</mdDateSt>
    	
    <Binary>
        		
        <Thumbnail>
            			
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
            		
        </Thumbnail>
        	
    </Binary>
    
</metadata>