<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20241023</CreaDate>
<CreaTime>14534000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">landcover2023_clip2</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">-932526.548542</westBL>
<eastBL Sync="TRUE">1554804.580835</eastBL>
<southBL Sync="TRUE">620100.642119</southBL>
<northBL Sync="TRUE">3226119.175475</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\GDE-M097\D$\ASSET\Knowledge Hub\Map Explorer\Data\gisDB.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_48N</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/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_UTM_Zone_48N&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;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,105.0],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;,32648]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&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;32648&lt;/WKID&gt;&lt;LatestWKID&gt;32648&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20241023" Time="145340" ToolSource="c:\users\az18p990\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip "Landcover (2023)" "-932526.548541959 620100.642118952 1554804.58083489 3226119.17547495" "D:\ASSET\Knowledge Hub\Map Explorer\Data\gisDB.gdb\landcover2023_clip2" World_Countries_2015_UTM_MSEA 0 ClippingGeometry MAINTAIN_EXTENT</Process>
<Process Date="20241023" Time="145552" ToolSource="c:\users\az18p990\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "D:\ASSET\Knowledge Hub\Map Explorer\Data\gisDB.gdb\landcover2023_clip2" "D:\ASSET\Knowledge Hub\Map Explorer\Data\gisDB.gdb\landcover2023" RasterDataset</Process>
<Process Date="20241023" Time="145637" ToolSource="c:\users\az18p990\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "D:\ASSET\Knowledge Hub\Map Explorer\Data\gisDB.gdb\landcover2023" "D:\ASSET\Knowledge Hub\Map Explorer\Data\gisDB.gdb\SERIVIR_landcover2023" RasterDataset</Process>
</lineage>
</DataProperties>
<SyncDate>20241023</SyncDate>
<SyncTime>14534000</SyncTime>
<ModDate>20241023</ModDate>
<ModTime>14534000</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22000) ; Esri ArcGIS 12.9.0.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Landcover 2023</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">90.465659</westBL>
<eastBL Sync="TRUE">115.767394</eastBL>
<northBL Sync="TRUE">29.163671</northBL>
<southBL Sync="TRUE">5.470026</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>landcover</keyword>
<keyword>SERVIR-Mekong</keyword>
</searchKeys>
<idPurp>2023 landcover map of SERVIR-Mekong. </idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="32648"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">5319</rowcount>
<colcount Sync="TRUE">5077</colcount>
<rastxsz Sync="TRUE">489.921436</rastxsz>
<rastysz Sync="TRUE">489.945203</rastysz>
<rastbpp Sync="TRUE">8</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">FALSE</rastcmap>
<rastcomp Sync="TRUE">LZ77</rastcomp>
<rastband Sync="TRUE">1</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">FGDBR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">489.921436</absres>
<ordres Sync="TRUE">489.945203</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<eainfo>
<detailed Name="VAT_landcover2023_clip2">
<enttyp>
<enttypl Sync="TRUE">VAT_landcover2023_clip2</enttypl>
<enttypt Sync="TRUE">Table</enttypt>
<enttypc Sync="TRUE">19</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">Value</attrlabl>
<attalias Sync="TRUE">Value</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">Count</attrlabl>
<attalias Sync="TRUE">Count</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20241023</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2W+vv
sxjiXY1xK21Mnj3J+gq0HPUnmufTVrKdZUZBJ5Jbzd8ZIBBIIHHOCp6elXbfWLO4lgiUgmaMyR7V
yCowCc9uoqbphY1Ccc9h71FM3y9+PY1mXenS3dzDL9pV41lUiMDCgA5B9z0rTdEXggew5FAalOcz
vcI8TgRqB1YjnnPH5U3febtiuNnZyeSf85p1vd3M9/NbpArRxSYMpOFwVBwPU1fYZGcZ9vSquTYz
pJLvJlLRkDhVH49P896Yk90CxlRVwOfU1dhubWcM6SLIIztO0dDU2IZPu849uKV0FmUPtcjI7NEV
Qc5B5/zz+hp6KJ4lkxtDDO0+lWJYosDKDcPSom8lWUSZwRu9amVg1IJY02H1HcHimws7JkA4HQ44
FBuJGkVVPyKCcYGD+FPaeUkBQdueQvArPmXQL6l5oI3hyeeMkGmEbVVHJ3ZypoIdoshhuVeR3qGW
aHeIGlXzgoIXdjrnH16H8q0uNjnfzY1L9jhqkibc+MDb2GKpq5w2Tk9ePapElx8xPCj9aluwkyW4
CrIpI5z261BeSbo4lKkEt19OaJJDI7YPIJ4/KoT+8l2HGAeMVm3uMs2rJEqkEZPTnrWmrBlB9azC
jhFfoQCfpU9vORhR8341cHbRhexdqve3X2SDzNob5gvLYAyepPYVLufvtH9KiZxu5O78Olatpbhc
pvc3EscMqrLFEyklo03tu4wMYPB5547dKqQXmqq8izWxYM0xSTyyNirKFUED72VbIx12981rkliA
DxTgmOMc0rjMSLVNU8ycy6ftjR2VOCMgRK4ck9ixK49utU5dc1IW/mpaK5eZ4oisTYkxvwR6fdHB
65rqNmN3bmmurZ+U4GOaT9AMdb69jV5J7VY13EhirYQeYy8jPPAB4x1rS02ee60yzu5YVjnmgR5I
+QFYgEj86mRtmeCQe9Thg1OLQrEJkJHIK0gkEa7eB9TT5SR04HeqzMd3yqSf1qZStsLYmDA/dIKt
2pW3suFXAI6UkMbj5mJz2GasU020OxnPuLZbOfSlCgrwT7k8YqeSNm5VMHPXNNZUiQbsMay5ddRW
GqCvQc1KTu4IDbfWmiUsRwPoKYz7jx0qk7bDFLZwFypJ5x0FTDgdc1GgUucEYwKkrrhfl1OeW5lx
6fbxQPEsZWJpDIwOTlidx/WoI9HsoPLMUbp5asqFHPAYgkdemQK2Wu7dRgvzgHABzzjt+IpkZhfC
xTKRtyFPJArncH0OgpurIrMpbP8ACDSeZMGZiuQowOc5q+0LFeU5x1Vqg8njnzAc5yVzml7w9SBr
mTeqg43cnt/KmXj/AGm1MDE4OCcNjcO+fap/JCygsJCD7c/XFKbOKYM8cgIzgk0PmsGpn2KrYo8c
bDbK5fn+HgDH5CrUdyZAFOAoP8Ixmphp64ALjPQU4adGo5lAHfA/+vUpTuIZLeE5VVG0jGT3quIy
zBcksR1ArQSCNFJC7v8AabFMQR+Yq7AGzw2OaJxberEyOG02MRImCRxg8mrATy4NrHG05zih5NpO
3J9WrxjxT8QL/VfMsbMG0tiSsmGy8nsT2HsKzq1qdGJE6kaauz0XV/FFlY21y8MsF7dKhZLeKYF2
I9h2HU+wNeRX3inU7vVft9x5e5lGIwPlA/2ck4PuKx1R0UzRFk2HG7cBz7VDj5c574615VXFSqeR
w1K0p+R7l4f8TWfiJJvssciSQhTKGAxlvQ9+h7DpW7kCFkP3ulecfC13Y6kgCiMKnpnq2Pc9+a9L
2qSCfTOK9OjN1KalLqddKTlG4yOMbflJ3DuaUIsU4wQwHJx2pwYKuOmTQka7j6elaOOuhqmDyeaA
irkt1z2FWI4NmCBzjrUChRLgDOeSe1WlYjIBBHvV9NRrUeAWA9qQLhjwOeTSK4zgZyalXJ6iqsUN
2ge57UEgZ557UM+D1qN3VAMjJNDaQDwSE5O4mh245H15qPzD1IqMuDICTwOcVDkK5Og3DJXr04p4
CoMdvekWTzDheg6mnDbyMg+2atDEkwR1xjmolkG7aqkn16U+UjacnioY3YuP7o68dalvURYLkAAc
HvTPO3KQoy1DbmOQCBTSuxTgYobYEDGYn7xz0JPYUpQYwck9eaBndSg5IyazQhApJwenfipFAYbf
Xk0zndgDIbvUyqFHv3ropQ6sicuiFVQowBgUtFFdBiRpZQqQREgIG0E88f5AqJtLiOdxZvm3fexj
2+nNXuRyaM+lYczOnlRXt0FsjBi7FmySRU3mr7+/FO+vNY9mmqx3V+1xl4Sx+zoWXkZ4pXHZmm58
pzJkFW65OPypsixyQmQLnI/OsKWHWls0jd3WWO6H+kKVIMWc5I+hweKmiXWFt1aceZjzSUSQA7t+
U59NtMb2NHzQoX6c560GVCOWH4VDD9vQX3mxM7GUmAkqQEwuB+eapMNTWK2FxuBj81JHV0HmcfI3
4/T8Kjlv1FY1BKBhgw+hphnAfcQC3asyNb4agrz/ADxeQgO3AHmDO44zx2qlbwawbqASODGrMXfA
G4bDjK567sdD+FZPeyYmN8V+I08P6aJdjyTzErCi92x1J9BkV4jskkuHBZSx5ZiRjn/9dekeKNRd
rSxstQRJXtohNdCTJDSbcAfL36/mO1cZHYR3UgVFSFpm2Qp82QOefcmvFxldOfKnscVe8pWK0emP
JZM6DbnDbmYY2jIOec9RwMZ49qfJoNyk0NqiNPczIrokQyQCerY6CtC90rUgtvdqFMKuEhDEfOem
456k4B79QO1df4BFu2qalvnMl9HGquwPysvfr6Hj+tZUV7Woo3IjSTfKzc8J+F38OWLRyzebNNky
bcbFxnGOATwe9dKoOBwM9DTFniygEqM/UBWB471I679uDtc8/WvoIRUYpI7oxUdEPKKcEY4PSjaM
Lwd2eKiJb16dCKcshYKT34ovZlbiRPBJM8ayxvKmN6hgSmR3HbNWMhTtyMACoFtoI5jMsKrJKRvI
HLYHFSljjbGoJ7nsKtLQLkgUMc0pbapyagAYnLkn9KOvJOR6etF0O4/hmxkGmEDcNvNJjA3DORTJ
5ZIoswrucnpjP1+lTa4r9x+4EYApgieQlhwo707zljtWZhg9FyMFjQLu3jyGlAUgnB70ezfUCWMj
G1BtHdqcvlLwAC386ZHJG4by5FII4GelIgBY+p7+lPYYspJwDx6ikh4Y8EilCsrZOWyO5pvKnBHf
oKl73AlLEMQcVGWyuTUnlk88Z9KZtx8uc47U3cCNCTgkfSlweoxinKvLNnHXFOXLDG3C9ck04U2y
ZSUREzuXA45BNS0VHI21S38K9a6tIow1kzO1CJNQuLX7NJA81rMzupbt5bqB3/iK/l7UQQ6kocS3
EZG47MnJC+/Hrmi3WJLjd8+FztB6JuOSB+NXcKec0oJTXMVKbg7In3PuHTB6ipugpoxjI6Ux35AB
znsK59joJRS0zIXAp1UAycFoWwM+3r7VBc3NvbWZuZmZYhjJUE8kgDge5FTncZRhl2gcjvVS4to7
ywa1lZ1XcOUIyNrAjqD6CnewblMXm7WI1N4qBySqOxXIXAK7SOuWU9c81YmvbVbswtPGZnJCqGB6
DofT8abcaPbShpJDIXIIZgwBbLIxPTr8ij6VUbw/Zy6mmpOZ2njPylnHy4JII4/2jT5eZEuSWjLW
4M7L5iOycMFIOD7+leSeMhfW3jGR476SHzQhjKTH5Afl7Hjnd09a9WktrawuJbl5mDT7ULTOMcFi
AOB/eNeIakVk8U3LwSiRJLtnSQdxuz3/AM8V5WPmoR0MMQ7Kxpa9ZXVxeQhi8r7yksgyXODt+b8v
XvXTwWIS0FxPYATMyrAzYO2MEZKkcD73fnvVfTYmutZvVWDdCkjvtJwQpbPA9v8AOK7G98q60Vre
JMOihFUn7wHfOPSvn4yck+/S/wCJVOkm3I8r1pnFvBeRxhEiwibFwBgdSfXOP84qjbXd0mmSwifZ
byh5JAXxvY8ZIBBPsOfXFaR8LqA0suoRxiN2WRANzAqf4eOnIqzLZ2ptVtoZsXAjEqxCPJfn19c5
/M1UZ62Tu+rMOSV7vQk+Ht/badqzNcTW8IuE8sM5X5due5OVBx0PXjivVopo5oRLDKkqt/GjBgef
UV4JOixXgi8txcnaRuK4VvXPcd+345r2rw+NMtdOjsrS5tpHVdzrFKGyx5J6k9c17eAqt+49kaUJ
O3L2NUrhcAE4xS7ABlTikViMgjBrjfEHxBtdD1O408WE0ssQHzbwoJIz6dMEc13TnGGsmbOcYq7O
3UqQAwIOetSoyA7BzjnNeM23xJ1VLOa3uEjlmP8Aq7hOCnrkdD7dMe9OHj7WZbQRJKouQ4kWRAAG
A/hPGCO/+RWP16nbqZ/WKe56jqniPTNJkEV5cqsjYIjVSzY9cDoKtwTRXcKzQSLJG4yrqcgj2NeF
X8WoapG15eztPNlnLls7UGeBk8dzj0xWfa393aTL5d5PEjAkMkhBUHIPAOBWDx+uq0M/rWuq0Po1
QME4A7U3yBtJ6455rJ8JJnwzYn7XNdZjyZJfvf7p+nTr2rc+VRjt716UHeKZ1LVXGbPlHz8duM1A
1lG8plaFd3rn/PtVzHHSmHJHOc9q0uOxSgs1tpHkGcHgDsoqyXTbglQPrQcqwGCfangZY1N7iSts
JsyMg59CKpyXltbzSRTTBZY0R2BB6OxVT+JU1YJCcIe/BFZEcCarfTzTwBXaKJSVbO0I7MByvDZP
PXjFV7O4uddTT+128RIa5hBB28yKMH069acZYBJ5PnI0wG4xhxuHqSOuOR+YqjNoNpPv3tL80Lw8
MPlVgQcce5xUkWlrFqJu/NYgI6JHj7u8qzc9+VFNU7bi51bQfa6hZ3kCXUVyjQSKrIx+VfmGR17+
3UVYN1bhnBuYQU++PMHy9ueeKoW+gWVpZQ2kJlSGKMRgAjnC7CTx1I6mmS6Ha/aI7iGWSOeJpWQk
hgDIyluO/wB0Y+prRKS2RD5HuzVV1eISRsrow3KynII7EGmXDeVABz6k1DaRpZWVtZxsWSCJYgT3
CjFOnAkjRD69fUUqkZOOgoyimyoOIwehJyaZvX1qaccgY4qt5fpXZSioxSOOpK8mzakO1doH1pAu
1VYc46UwzMwJBAHYVJFuxgn3wRXlpps9MR084q2OAenrSl2bpgD9akZgi5P5VCCB948nmtqcOpnU
lbYFUozFWPzdc0mzqMn5jk0GRR3pBIMnNbcvkY83S48KBQwypHrSb1PemyTxQxmSWVI416s7AAfi
aLBc4Dx1qr3AfTTbPF5ciOkpbh8qwI9uvHrg+leXuggucxtjyhg45J56iveNf0z7TELuFA00WGC4
zkg8HqORz+Zry/xnYR3N+moWEDRLIOVJyGO44I68dK+cx+GqRqOo9jKrd6s3vD7LvN0jyqz5VlwB
26V0wVJ3WMgPGVA24GMdxn8P0rmvCFzDc6NJuCiVHHJGQSCNwPp9a2bh4rBYS6lFmclXRQRu6n8a
8Tm5HFL5/edtL4LnHvps13r92LPbJBHuKpMwOc5U4B6EYJ/CqemWxaabzpTHJGxUKuSW3HkEf8BB
GMZxWxZ38Tatq9sHLxi4aVWhXevl85H5Eg/X2qjqMi2FxexLMQgkwpYHJ3EEYOMEAZHbGc9qu7hq
zFxilzepyepqn25nSUvu+Y5GMf4//Xq9Za5Npd1ZahDJFK0JI8sRhdvY9BzlSR7ZqjdIZrp3AVkH
IEf8S5A44681paToKX8d58sqSRoCkYG5slwOhAGMZ79cV0QnZJnIubm906WT4kXl7qFmg8q0hRwb
jDBw4HJAJx2GPfNZHj3U9L1nVYrixYblj2SM0ZViQT1HXpgVzM9pJbXDQAhsNjcB34/xxVi4At3+
xyhT5eS7h89s8H0xz+NdM69SScJO9/60HKc2nGRFZIjlt86RbF3qSBknPr+PT/Cp2tZGtzIoYAAl
QFzG2eCAfXufx9KpzkeY7IpUE4HHanw3E6xHM7heNqnDK2OxBP0wMEc84FZK7IjbZnXeGoLGaGa1
nMyu8IOY2VsZ5GS2AMDgHnr24qzY+GdOvY7jF/K08PmAIseRJsPLAnrjKAgZxjryK53Rt95fxgTl
JwCiJHGeQSR2yAfmxwMYHTNeq+HrO0sLcr9kgjv2b96UgCu5Bx8xH3uQSefyrqoxjUfs3q+51UYw
krNaLqeZ295qegX832ZZ/siSZaOeAgOdpC7lB64PAyO1el+HLXVL/SY5b6ZoZQyf77bXViH56jaV
/E59Kv8A/CJaNdbJ7zTopJyih8jA4IboOOo/p0rdAAGAAB6Cvdw+FjQhy3v/AF0FDmi99A3SAEZB
46ntTvN2qpYct2FIcY5qPeDtGMlTww9K1cUaqbHNufnAB7UbWKYZ2PvSggjIpapRSE5NiAAUtFJk
etMkWmFueKRmBPWkDAHqKpIlsGY4quzEmnySCoiR1q4oykxpcq1To+UJPaqrnJp8bHGKtq6JTsxz
/PFwOetQVZhA8ts9+Krkc9acewPuXwoRlP6elSFs5YfKPXuaR2GOhVevPeoHlLcDpXFSo9WdlSql
oh5k9Bj3qNm7nmo80da6lGxyuVyQMDS1GDg0bjnNFguSVDdWsN5AYZwxQkH5XKnIORyCDT95pCSa
LBcmikCKqDG0DAHpXMeKdK3XNpdWyRDaDG2W243E4JPYct29fpXQUptoblo2lB3xn5WVipweo47H
0rOpC8WkVGV9GeP2TS6d4gubFmIlkcHaOjHv06V0muXEtrb2m+IyWwIcK2SrcY4Oee9Z3jCzGm+N
IbiJVCzMW4fPv0J45B9uldP4ks4X8MLNkpJFtxgHGM9x269f8j4fFYdwqTj2N6fwyS6HA6tKdE8S
2l3BGFhltoXCk7sLtHy5JPTGPpiqWr3BuLmRnUiPf5hA4BHTGPSuh12xGp/Dy2vkUtPp8zI7ZH3C
fz7jiuYhc3VsWZQkix4XPGefTv0/nSndpSephO6bXfUSyfyriR4ZdsaqWEjEEjkYAz3BGcV0/h+8
t4NPlnZDN5yghWYqZD9wgge5U8eh9KpWdokSzvFHE8sgwsj4xGAACcn69elSrFZWrpGJwsSxbJZA
cDH3iBkDnI/yTUSqaLl3LiuVHP3LolxcSRxJtjmMaLgkBecde31981UkgSMIkiMJZlDFlJ+VWHAw
p5yD0NdCYRf2UNjbRlVd8+Y4AbqcHJ5HToOnSmQaVHPLloHmEgCI+/kAAjdgAcfLkZHIOM5OauFW
2u1jJxa2OdWTy5JVkgO7JwAxUqQDx346Z747inXM6SwIVtVhAJHyEkEdupPv0re0rw9Jr2s3EKwz
RWEZLtcFASBuIC7uTnvg8+o6GtPXvB8sVpGLUu5hiIZmAO4Dovy98Adj26VvVapyUZA6c0rNGV4X
sWvdSLlk2ZDCfPzq/bHI5zz0P4da9l0eCVYmmudjzNhfNBJLAcdyfrnJySTXgtlKukXwvY5UkeGX
5Y+QHX1zj3+v0r1fw940sLmX7OiylZGyH2YG7GSBwCccZGOPU9vRy6pCnUfM9yqUoqNnudtQeBR1
or3zUZlRgsQSegpRKuDgDNMKMFIXH170qx45PHsKw5ZOWprzpLQeM9+p5NBIFRvKBwKiM3tXSosw
c0TFs1GzehqMueuKgdyxq4wM3MmZ8HrTWkwM1BRWnKZ8wpYmkzRRVCDrUifKcdzTVHfH0qyIwsZJ
I3D9TWdSagrsuEHJ2Q7bsGMe1VyCDVrDeTvOGx19qrSOdw+lZ05qWxdSHLuSPIXJplMDEnrT60tY
zvcKKKKACiiigAooooAKUdRSVJCu5/pQ3ZAldnM67Y/2r4u0uFI1aOBGe5fjgZGAeOvHT61oayLH
7BdxSyIkbQMXDAjp0bPsF9PT0qNSltr91cXfmq8jjD4xGEUfKPr949+laF0LbUIZEKfaij4eIDvx
1Hpg9OcivnK2HdStKUouz/pHdBe42jnYNOs5vBkkFvOzW98+zdCCcFQckrjIbK8jrkYrktT8KNZQ
SnaUkgzuxnbInPT3xXeWS6tp1oCLQQQmQGSMtuEYMW52ySScP8oBOMYHSqt087WEksrus9yZPKkK
gZUF1XAHH3cEk+3pWOMwcaVDn7fl0Iq01uef2dpMrIiuRHNym8BNyYwO/TjoTXdeHPC+mvaMZ/Jm
u490jHJKxk52nnjGO2D09q85u7yS2tTH5jtNbzAxMB0jIHy59ieh6V7bo8kEumQvGyqu0BtpGCT0
59egrx6Mb1EpLcrDxjK/keWT6dLZ67HIJYtplCpEpYOrc5wMeo6n2rodAaC/ZGdsTISdquCAAWAw
cc8frmtDxPoqrrVvqttHtmigkLkDhsDK5P1Oc/nWZ4Q0CWws2FwxuY7wKx2bgYgAWIPqNxHTrzni
odFOfK3qioxcJ7aHTWV4kkU+EWEGX5duBvOOW9evHPpVE6pagiO8jMQQhSZHACkjhs8Yyc9/Xp0r
as7PY3zReWG5+pOSxPcfSo7rT7e6sRBCqmIBQp3DjBzjgdPr1zXSo1L3voun+ZvNXXmcT4l8JQR3
UtzYIZIpQTLGiK4G3nI568Y7fXrXAxy3Wk6klzZcGHaQyAsMnr16Z59DXs99aTQeY28iMDcNwCqM
EEcHHTB6Dp9a8z1ISTSyyWsLFRmSbcu2MnvjHXuecdKOeUdUcFemk7rQ9U8MeIodf09ZVysigK4P
97AJ/wA/jW7XzrY67d6RqAuLGZ8jOVY/I2Tn7teq+GPG0mpW6G+tfLRpRFHKmTu5AzgjOMlRntuG
a+iweOVRKFTcUJqWnU7WopH7CpD901AVOa9SI5NiAZ70FOM4p44+9QSAKq5NivIT0WoQpJxU7HPF
SLbjbycVfNZGfK29CowA6Gm0rY3HBzQD6elWQJSgZzmko56UwJohkD0qweInYY9Mmo7fovTJqw0J
ePpgZ/GuPEO6sdeHjrcWJS1ntwc471TZQTkgZ781YknfY6KMAHGT2qgzDPU0sNGV7rYMTKOiAHBz
Ugk55FRjb5gjMiBz0XcMnjPT6A0V13T2OVprcnzRUAJHSpVYEe9JoLjqKTIzjNLSGFFFFABU8ICs
M/eI4FRxruNTZKcEY9OetTJ9C4LqSkBhggEHsaAqrnaoGeuBTRIMc0odTWdjW6HdK4/4gpM2lxiM
SHeSu5f4SOQfyDD3z9Kv6df6kWunuC8iLJcAAp90LMVTgKONuO5z14qhqV7dapprx3loYLfz2iaR
VKsu1GbzATwFO3H/AALrXLiYqpRlEudN2PHkDzSNMyN5DHqTnvkj6da9l8GAXXh+K2uUZmiXaWkH
3DyAPTPJ/SvJ/IisdXfTbiY+SJMBx/Cw4DdM4Ix+deweHXisNMjClI4YlRWcyAKRgYbIGO3t1618
ok3XhFf1/XUWEVm2yTUJ2sZVWRzMNuHLAjauD07E9fXr9Kdp93ai0VYTJhQFwoweBwCO1Q3cth4p
068hgl+WKQozo6hzg/eB5xyDgf8A1q5KbTNe0sRrpmoLd3CnyyPLALLycE9+v161OIws6M1K6t5/
1c63WcXZo9GLyyMkzOFjzkrtyAMYxn8aJLbeVDunlhcCIoBwRxmue08a5Jbt9puYIrny3KQw43E5
PrnIB254BHP40rx9SiZH1PUbi2Z8hkhZUwMkKTwT0xnkj3xWsq/JTUpIbel0jdKXcmmzSXBguD5T
MgHIOMdyeB1PTpjvXl+p3FzaLFFEsqWhjbc+1VYKWI6A9D1/EjPBJ1NX1DU57N7W2muFiKHzCWUt
5ZIwXYcqOo49SKxNQ0/fBBczyzLLFCU3KmSTklfl/E857Vg6kam6sclWV9jF1WxnthFdvA0X2gBw
GPIOSDkHnkj/AOvVzT9Tv9GvFRLhIX4y7DII5zn16YHuOMUtt4XvrkxSu6tEwDbzuI5J4P49frV9
tCuJ51t5JEJVlWR0yfkA67iTjjngDPTnjGvtox1UtjljTk3dI9X0zXLa8gcLMZDFCJWOMnHI5x/F
kEY9qkbW7JZbRN7H7VG0sTBeCAATn06iuS8BW9jFbGH7RHNJMChRFIZdhLfMPTk9fYfXq20fT18s
eScR7gg3n5csGOOfUCvrcJUdWlGRtdWuyzbXSXtrFcxZ8uVQ67hg4PSnu2BxzUMEUdrbxwQrtijU
KoJzgCpCN34V2JGTfYj3spzile4d1x0HtTWJ6GmVdkRd7BS9RnNGOM0lUIUBeck/lRnjikopATwH
GKsXEka2Eqecib0ZVZ2xkkGqsR4HPNST2sdyYyZGQqchlAPUEHqD2JrmrRu7nVh520MKDS9ShfTy
JFZbW2aDAk5O7Yc89T8pH/AevNaml6dcm2J1SZvPyMeURjG1c9vXdV7CwKqRrlUUL19KfvPc8/Ss
ktDaUtTmrbQ4befTpvtFxI1hGY4w7DkFQvPHtWpRRXbGCjscMpyluFFFFUSHSpFfsajopWAmyPWm
s3OBUdOXlxSsO5cX5ICe9IxxjPpSsP3aL6nrRIATwOOlYL4jZ7CDnk1Hu5p+QFqKtEQ2W4myo5zT
nKlSrjcGBBBGQRjvUUPAFZniJHn091WWS28oq63KLko2QOB16E5IxwTWUkkzVN2ueU+PtPgt762v
rdYIxcpl0hACq/fGODznmul8C3r6zYm2vmk2HYiJExUEKMduV6E9snNY9/NbC0S3cP8AYps4kkbd
5TbTwcf3SQPwrT+F8Ds0jeZkRH5WVMqy85GcDu36HtXgTpuOPjyrrf8ADUSThO3dHTatZWekS2q2
cCQrIzF0QffwOM+wz+tctdTX1lfTX1vKxhjRY1hXnepPzH/e/D2r1Fo0dlZkBK9CR0rL1zTrefR7
jCRRvEjSROSECN1BJ9M4zXbjMvWKnzzl0sXJysrbo5mLVZtWtY7vR7AS6lbnyQ1xJt2gg443AAjc
Rk5ZcsApyRVS61OfSfGrjXwDaSRZguDyICcLlgeMfKee+T16Dm/Fa3mk3UF7auTBdR/K4YkQuDgr
wcZ6dR9KteG9S1PxDeR/ahBMFXyZJJTwY+MkgH5jjHX25ryYzWGvSrwvHbfX7/IuVd1GktJfgaN3
bJDfXmlW96zy/Zi6O+R1UdD6fOv6iszTbG9i0qWPVANifLGTw6j26HGf/wBVd7DbaX/aUttFsN9G
it5Amy6JjqVzjPzYzycEetZeqxWFrrC/aYXe4ki8vswUZAG7kYJ3Z/A8cVw4mjGl8Csmv616FunG
92cs2o3EtoYDMzKc7lHTHT/61aT3k1wFh06Jngmj8uWM42kEY28c884NZ2paMLeQXsdzNAgAUosR
kDYPJBHKg4yevf6Vjvc3tzaSQQTyRxx4csSI8gZ7dxgjv6VzUqKlaV9/zMXU5TsvCVxpFjrf2K1N
0ZfM8s7lJGcNwW6YGe/Oa7yX75rh/A1jexXNtDcuAIN8oCqSJAygZJzgncTzjnBruZgdxODj1r7P
Ko2w8dbmc722I6Z5uOAKGYgYqOvUSMbik5OaSilAJ6CqEJRRjHWpUgZ8ds0m0gSbIqcFLDgU+SBo
2wec9xUka4xSctLjUdbEQiYngZqwqErtJKk9KpXV5NZ6hb28MAladWbJbG1Qyg8fRs/hVePXnkxm
3UHZcP8AfOP3TbeDjvWE5c2hvCHLqa6/Mvy/KB7U0g564qhYakL6ObeixldhwGznKK3/ALNj8K57
UPGj2TW/+hK/nQrLxPjGSRj7vtUrRalNNvQ6Siiius5QooooAKKRmVELMcAdTSLIjgFW6/hQA6nx
f6wVHkYzkY9afA6GYqDlgM4pPYa3LxIwAeuMio2cCP8AGn5JHtiq8vf0zWMVqayehEzktkmnocik
jTPJ6U8da1ZkWI+FFR6g7Cwk228lxuG3ZG6qefdiKlUYWoNSiElgzCISPGQ8a7c/MOlYSN1seba7
aza5JZ6ZpaRRgQxndkAhGRQS+OMngYHUA9sV1WkeGzFDpbxTtHbQB/NhYEedlcKcA465P41zsn2m
TxUdMMYhdbbhlO0BxGq5UDO0ZzivQPtNppq21nuKr8kSKFJxnIXn/gJry6EVPE1Jt7aFQdncppot
ybSOGW+3Mvl+Y+DmXDKxz+CkD2bmkh0S4TQLvTZb3zHniEYlIPynylUnn1YM341t0V6HKjTnbOS8
YeHTqVgGhLM28bwwBPJALc98AD261y1ha2Oj+ILFLKVnjljeB5lDGMkEZI4OOWPJ4wPfNeqnO4DA
246571m3GiWdxercPCpXa29QeGYkYbb0zx161x4rAwr6t2Jv73MyI6Jpr659uKM14qhJHMxJwMNj
YeMkohyBk7RnoKk1LT7W6ywcB0+ZY1UDOOme/X8KozNZRq2h39yxQxo3nSgZzv8Alzxg8r0I6Dnr
xG+luLP/AE2aMC0lDQGOVyuABhTnvkH/ACa462Eaap1NexvGcKif4nNSRm/uVupPNIh3D7LIu3B3
ck9wcZ9RkUmg+ELa/uLh5IVnjLsjGRyfJXIKrjOc479se9dcNBE9raOdkVwjF2bbkkbWCqcdcEqf
fb71FD4Ykj1Ce4e7DRzTpM8e0jdiNlOee5YH8Kv+yaUal/srZf8AB3Znam3zJWXYDpBh0a5s9PjJ
bDxxTrPwoyQEHPGDxjpkZ61bt3u21C4iuZomRchF3ru++20kDnJBWm6Po8ukRQeZciaRUlEzAEea
zOGDH6Yb/vqlurSSWAW6yqsYnSbdtJYgSq5GfcAj8a9OEOVLlWwSlH4Wyd8lQRgqRkEcg1HVXTrF
rGCO3R8wxRLGg6ZOBuOPfC/jmtBI8GuuEnbU5JxSlZO5D1q1GoVM5pPuNjA96fuUIegPb1ok7iir
ETJucDFWkYAD6VCDwPyoB2g1L1KjoSPg49aWJec1GvzHFSM+CI0OD3PpUydlYuOruA2G4LMF3DhS
RyKd9ng/54x9x90d+v51GNqr/eYd6NzetSosfMgMMCMCsSKTwSFA4pogsCoEltAxAwP3QOB+VMlk
2tt6+tTooZc4U/WlOC0bKpzd2kjPooorrOQKKKKAIrhUaEq7FVJHQZ71DHaw5SRJCduSASAO/wDj
U08Kzx7GJAznoD/OoksY1zgvyu3Ge1AiQQRi1WItznORjk06BY4ZMKckgDr2FR/YdsquGwoycd88
/wCNLBbLAchmY+/+fakM1UPGM1FMhK/jRG+VHtUzcxHHIrLZm26K8f8Aq6cgywppGDipYhzmqZC1
diWnfK2CyglPmHHTqOP1ptOU9qyZsjyzSrSWbxbqGqkOsbkIN38THk4Oefu9B0z7V0Wi6p9t8Qyx
Xq7fIUCEs2A2M4bH54x709NFuNKWfU555G3uzSwbiUwWIG0Dvhj61VtGjj1tBIVjLxkYbhSo6jnH
PPevnZwq4bEKbd0+2n9f0ybbebO7oqK2dZLeORSCGQYOc5H1qWvoDQKRVCjAzj3OaWigDjtes7rV
NdNrBaZGEDTlThRj64wOfeujstMgsVypklfqXkbJP9KvUVpKo3FQWiRlGjGM3U6sZDKJoUkCuoYZ
w6lSPqD0p9FFZmpFLwOKrlSTVp+1NOAOauLsZyVyFVx060uBilAyw5xSEj6VRI1ANxyKc0YxkGjj
oBTjtUc8mhsEiNeKOGwB1pGYsMVLCnfvQ9NQWrsL935EGT3NNbEeRjk9TVgDjoAT1xUMw2rk1nFX
d2aS0VkRqVUEmo3l+X5ajckn2plbqJg5B1qQTEADFMUbmx+dXREuOFJ+mKU5RWjHCLeqM2K4Er7P
KKnGfvZPQHP05wD61JS5OMZNJVRTS1dwnJN6KwUUUVRAUq/eGKSlX7woAkILDnioyMGpC22oycnN
ShsVDhhVsAlMDgjmqY6irYHIqZoqAxxzn1qRBjpSJy200pHp06VDa2ZST3DJBqRecVGFNTouBSZU
UKxAUk5wBngZrhPEGls13HcafbzKE2vEdrKu5s/KVI6EYHtn6V3lRzvFDDJNKQqIpZmPYDk1z1qU
asOSWxo1fQ5Oz1u4052tZo9wBICtkFTx09QM/rXRabqcWoRtt+V1OCpPX3HtWTr8Mmu6Aj6asbzs
R5byrsZMNzjcMg5XkH0NV/Dnh+70i7b7ZeLcqqAK65Ulu5I/rnmuGlOrSqKDfNEOScZW6HWUVGkm
flPX+dSV6SaauhhRRRTEFFFFADXzjIqvVqo2jHYVUWTJXIabt5qTYe1O8vCkmquRZkWcDNMJLUrZ
JxipY4s8mq2Js27BFHnk1IzbMBRk+lOLKgxUBZmUYJHOf97/AOtXPUqWOinAkiYD5T1JonUsnFIo
3fdI3DNP3MqjzABnuOlKnUursc4dDNbO45p8cLSHgcVbMaMc9fpTyu1PlO0V0uppocyp66kTRLFH
x1J60G4VAFHYelRvckx7Rye5qtmlGDbvIcppaRCiiitjIKKKKACgHFFFADhk0h6+9FFLqAlW0bcg
NFFKRUdxDlXyKl+6dy8ZoornqpOJtSdpAcDO5RnsMU9WHYYI6j1oorjjOXNudbirEgORkVFJPAsg
gkljEjKWCMwyVHU49KKK6zAgj8gQxJC0QixiPYQARjPH4elRxSxMJHR0YKxDENnBHWiiuGqveubL
YcLiNnCCRA23cPmGcdjU63duyqfPi+YhR845Y9vrRRW1DqRNEyurFgrAlTg4PQ0tFFdBmFFFFABR
RRQAUUUUANMak9KjebapCjkDPNFFTOTSKhFNkPmF85Zdw4pfNDDBYcdORRRXNJczdzoUUth0ZHUN
g+uaePn+VnORzRRV04JaGU3ZaDZXRRtzk+xqtJKzDbn5fSiiu+EVucU5O5CelGB360UVoQf/2Q==
</Data>
</Thumbnail>
</Binary>
</metadata>
