<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>DCPLUS</ArcGISProfile>
        <CreaDate>20230911</CreaDate>
        <CreaTime>16434200</CreaTime>
        <ModDate>20230911</ModDate>
        <ModTime>16434200</ModTime>
        <DataProperties>
            <itemProps>
                <portalDetails>
                    <thumbnailURL>https://www.arcgis.com/sharing/rest/content/items/19a0da5cfafb4c7ebf1473c222d5ec6f/info/thumbnail/thumbnail1694453510513.png</thumbnailURL>
                    <itemDetailsURL>https://www.arcgis.com/home/item.html?id=19a0da5cfafb4c7ebf1473c222d5ec6f</itemDetailsURL>
                    <itemIdentifier>19a0da5cfafb4c7ebf1473c222d5ec6f</itemIdentifier>
                    <itemType>Feature Service</itemType>
                    <resourceURL>https://services.arcgis.com/p5v98VHDX9Atv3l7/arcgis/rest/services/Functional_Classification_on_LRS_23_Feature_Service/FeatureServer</resourceURL>
                </portalDetails>
            </itemProps>
        </DataProperties>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>Functional Classification on LRS 23.1 Feature Service</resTitle>
            <date>
                <createDate>2023-09-11T16:43:42</createDate>
                <reviseDate>2023-09-11T17:40:23</reviseDate>
            </date>
        </idCitation>
        <searchKeys>
            <keyword>FC</keyword>
            <keyword>Functional Classification</keyword>
            <keyword>Functional Class</keyword>
            <keyword>VDOT</keyword>
            <keyword>Virginia</keyword>
            <keyword>Virginia Department of Transportation</keyword>
        </searchKeys>
        <idPurp>Functional Classification updated on LRS 23.1</idPurp>
        <idAbs>&lt;span style='font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;This data represents the functional classification data represented on LRS 23.1.  Functional classification is the process by which streets and highways are grouped into classes, or systems, according to the character of service they are intended to provide. Basic to this process is the recognition that individual roads and streets do not serve travel independently in any major way, but serve as part of an overall network. Most travel involves movement throughout the network of roadways. It becomes necessary to determine how this travel can be channelized within the network in a logical and efficient manner. Functional classification defines the nature of this channelization process by defining the part that any particular road or street should play in serving the flow of trips through a highway network. The Virginia Department of Transportation's (VDOT) Transportation and Mobility Planning Division (TMPD) is responsible for maintaining the Commonwealth’s official Federal Functional Classification System. TMPD determines the functional classification of the road by type of trips, expected volume, what systems the roadway connects and whether the proposed functional classification falls within the mileage percentage thresholds established by the Federal Highway Administration (FHWA).&lt;/span&gt;</idAbs>
        <idCredit>Transportation and Mobility Planning Division</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;span style='font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;Disclaimer: Any person, organization, firm, corporation or other entity using this database does so at its own risk. The Virginia Department of Transportation accepts no liability for any loss suffered by any person, organization, firm, corporation, or other entity from the use of the information in this database. In addition, the Virginia Department of Transportation does not guarantee system availability and is not responsible for any losses associated with any system unavailability. VDOT's digital data files are for use in performing the official business of the Commonwealth of Virginia. VDOT Divisions set all policy on the allowable uses of this data. The representations of VDOT business data contained within are believed to be correct. This data is provided without any guarantee of accuracy, timeliness or completeness. No business decisions should be made based on this data without first validating its accuracy against the official Source System of Record (SSR). Users of this data are solely responsible for determining if it is appropriate for their application. Please report errors and omissions directly to the appropriate VDOT Division data owner.&lt;/span&gt;</useLimit>
            </Consts>
        </resConst>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL Sync="FALSE">-83.65576035318507</westBL>
                    <eastBL Sync="FALSE">-75.34629989617966</eastBL>
                    <northBL Sync="FALSE">39.44090190197901</northBL>
                    <southBL Sync="FALSE">36.5369907220283</southBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3XTf+QVZ/9cE/9BFSFRMxznaOn19ai07nSbQesCf+gip48glOCF6EVFRJys9hR2FG8HDYI9RVWzwbi9AGf32d/r8o4/DpT7yVxst4SRNLnDD+BRjLfhn88VNDCkESxxjCr0q0uVFdCrD/AKFOLY/6h8mE/wB090/qPy7VbaQKQOST2AzSTwR3MLRSoro3UMM1Vs5PKP2SYBZlHyntIvqP6jtRK72HvqWd7EnavA9RjNQadzabz993Zn9jk5H4dPwq5VO3IW4vCPuBxx77QT/SoSa1bBfC0FiN4uXbBZpnB+g+UfoBWNqdvd6ZFssXDwSOAtuVZto6nbj7oGPpzjFa8DeVqM0bHHmosgHqeQcfQBarauYFuIHnWZiqOUEKszhhtPAH078fnVv3vmHW3czbWSy1FPtk8Co00pEM527sjjAYcggg+2BUsU0Q0yzhvkCn5DucjY6k44+gPQ/hmsMWd5BK775Y7ONAtwzxjPzL83y4Hp97IOCa242uoLKK5ULLZEq6IWwxyfl7YVRxwTx69qiUIwXLun+BUly6LUy5NWji1CSRrmO6srd2VYd25tuOcf3hkgc8jB5xV/TCdTlFxA0sEQQGMRONoJ5x+AxkH16VW09FmsZkuLRTGJz5qzMvKjOABz1bP8qlt4ryG4Z7S2Wy3OIxHkELxuGQOpxnOeRxjpUOHNH3X/ww/db13OktJ2e2V5TuJYgMq43AE4OPcVN56epH1FZNnqSQ21pHdqYZDENvBKvwOVP9DzVn7fZlSPtUOQvPzjqah1ZLRdCHHl0Zo5oqBDGdkkRUo3dTwanreLvuSFFFFUB4Brhx4h1f/r/n/wDQzTvD1jFf3V6stqLow2jSxxGQoGYMo6gj1NM1zH/CRaxyP+P+f/0M1UtL4WKXq7N/2m2aD72NuSpz7/drxMQv9qm2tLs+kwzvgoKL1si99ls2123tb7T4tOUxu4QXRKytg7VLknaCRjNN1izS1t4HbSpLCZmI+WQyQyL6qxJ5/EisjT7iKyuy89rHcwujRvG/HB7g9iOxrQudStW0xdOsLaWG387znM0wkYtggYwAAME/WodnB6f19xSUlNa6ev8Awf8AMrxGikix6iipoJpPQ0xEo3Wp75p1jENMtGiaSEmFP9W2B90dun6VP5VzbgmOUTKOSsoAP5gf0o0twdMtByCIU4P+6KdqDEWbxp/rJf3afU8Z/Dr+Fe/aMnofKRWiKkV8kt0l1LHJDEYcK0g4OTnqMjsKvJe2sgJS5hYDk4cHFPASGEZIVEXqewFZc8Czabd3ksYMkqFhuHKoBwPbjJ+pqrNlWbL32+Bs+WXlA7xoWH5gYpkzi5Ta9lO6jkHhSD6jkEGraKqoFUYUDAA7U6p1FqZ0E09srLPDOYd37tyQ7BfRsEnrnnnilsJEngMiOrebKzEqc8A4/kBV89K5+1ktI4nL7YJjukR4ThpAWPbufY56j1pSjKWiLV7OxqanB51pvActCwkXYxBOOoBHPIyKy/J8/UYpReTlUB2sCp+Xb2O3uWH5Vow3F4ke65tyVyeU5YD1KjP6E/Sqccotpru4tEE9uF5wcbG5JA9Rnk+macm7WTsyeaysWGs4YGDGE3NzM2QZCOw9T0AxVWfSJoZI7uA+ZKrZktwdsbemF6ZHr1/StWC3cSedPJvl24GBhVB6gD8B1qaVS8bKrFSRgMO1Q4X33Fu7s5XTru3tpLq5ktvNdJioZJQ7rkbiMNjHfjHanfbPtSQ+aIlUzNLJGz/PzkYPoQCBjnpWVqtls1a9khjmjkaRY45VdmByo3Ag5zxz0zxVW6h1Oe2+zRlI402qyzbwVUEF2PtkgE4yO2KwUbQ9nEq19EzVF0qPbwyyKbZHACCdnZsnCkDGQQMHg4rT/tR9PmuTdwy4IQJIyYDdQCxH3R2Pbj3rktDa6sIpHjgkmhkcOxhAJCKwzweQDj15yK6iPWbq/vGe3064SIRD/XRqSwyc4XcCR0/w5raNoSt+jRbkua3Qvmzaws1a3ZfMjj3FR8qSEc8+n1/nV6wvo7+2E0fA7jriufW6jlVUUr5bTfvrRUIKKvJIBAPOORjofznvHtjPBcWtxCjStkhZNuQAT1HT6cj2pJrmuupEl1R0RIUEk4A70ZBrkG1OW6nVJmlezIaQpMg5A24BK4yOcnr1Hoa0YbuylbbFBNEdu5bi2UunPowHP4jFaydhJSfTQszeGNCuJ5JptIspJZGLO7QKSxPUk4pn/CJeHf8AoCaf/wCA6/4Vf067W9sY51dHJGGKHjcOD+tWqtVJNbkOnG+qMb/hEvDv/QE0/wD8B1/wo/4RLw7/ANATT/8AwHX/AArZoo55dw5I9jGPhLw7g/8AEksP/Adf8KK2D0NFUpy7mU4R7GdaPIukWjxws7JbqQMgbvl6VLaR+eI7uWbzXIyuBtVPXA9e3PP0plvN5GgQzddlqrfktWbWEW9skeckcsT3YnJP4kms0uW7vuzeL91EeoDfFHEfuySqrD1GckfpRqPFhLn7uBu9hkZP5ZpkbfbbsTA5t4T+7IHDNggn3ABx+JpbtmuWNlHxuX96x/hQ5HHucH+f1pdClui6OlFIBgAUtSSRzyCK3kkPRVLfkKpQaXbCygTyljkRVIkjAVg2Ouan1I/8S+Zf74Cf99HH9asihOzLvaOhSZrqBcTILiIdWQYcD3Xv+H5Vk3oSbSb+8t8tId3zo+DtB249+hOD610hrINlHL9sIcxMs2WI6NwrfMO4qZJOSbRN1dXQy11lsqlzDIGZiFHlkPjsSv8AUZrVW5heAzJIrRgElgcgY61mPqDjT1luIvImkjGw5ypZhwM+vPQ1l6y0drI1tBHKkkiJEjRc78k53AdemM4OMmlzPnsG7shqvBe6nKUdgssjSlZ1aMfKu0MhwDnnt6dqeEkNjHGIyL1xwMYDQ45x9R1HXcwqExlLSJ7qPz0ljddyJ/yzwTuKdstg9+oq1a3Frb3MJfyQ0cbLNLGPk2nBDewyMexzUSk+W1nqauPuOxObBpDE6xQMnkeX8krKGUkEAqB046c9amjE1jNaecTLEI2UMinKjA6juOOopFeUyiGENBZzNkTNw3TlQO2eoJx39qS8tbOF7aZppoUDkM/nsMfKcZyaUYWspy+Rm7tWbG6rbQTXdvfGRAm0gOJCgJ/3l5HGf89OJ1e0uINQabTpriOHBP72Z9i9T8rqc7eOprUvoZdXvJI4XlltC28Bz5fmMuMnaMcDII45P4YW71K1trfbDMcBgj2mC/mbQTgHqoz68+tbOjL4o7+lzTSjFtvXsV7HTJbdWe7uHntnVdm85CO3Ib5uoY5+bg5rpPtFz9nRLCRGsABvkZTmNfQHPOO/cD6VhvpupTCN5I2hdkybaMqFAHAYZBwcnuB1OBnmqUGtPeQ/YbwyhVLqXjLCNjkZJPLHBLccVnKlJVLp/r/SM+STs7afl/kdFaSGO7g1C2EMVvKHTyYiSJiD19AcAkcfjzXUI6yIrowKsMgjuK8w/tJLdZRLezRmUFtyxkAgNlSCxyMj0I5UdaFv/Fd3eGHRpQJAglkDxbFCk8cMep9cDNVHR8pq4c8rJo9RoqlpeoR6lp8Vwo2sRiSM9UbuDV2qTT1RgIehooPQ0VaM6hzUF1qUmjQ2baedz26hZ1O6PG0YyBzn2/Wny6lePZyLveK5ysZjNscKWOAeD75BrZ03/kF2f/XBP/QRUOpwfJHeIgaS2bfj+8vcf1HuBVOavsa0uiKwvmto1jWW3ZkUBYCjRuewAByT+VWNOLSrM0oMU7SFpY+6+gz6YA6ULZpfsLi8hRuP3UbfNsHr/vH2ptxpKL+9sXNvdKPlfJKn/ZYdx/kUpKElZhdrRmhsI5Vz+PNN3tkrsy3seKowa1biPbekWk68OsvC5/2WPDCp1v7Ocb4LuByP7sgNYypyirxD1IdS82WOGJW2Fp05AzjB3fj0qUz3duCZYFmUD78TBfzDH+pqPUbiIWKziRcJLGQc/wC0B/jUuonda+QOWnYRgex6/pk1VNW31uX9lDYdVtZtgZmhdwGVZV2kg9MdjTAvmWl/IwBWUvx7BdvP/fNP8pJNRnjdQ6PAu4EZGMtxSQQx2s72oLeQ6blV2J5yd3J+oqpWTTIdk0N2qzWKyjehjI+bkFsDGfw3Vja/p1vbL52zaTjZLu5jA5K/Q44/wq7cyxwAW8MrTxu2EVQXMTjlfm9Mjof5VFql3PcwoqeTBtVmdnPmeXxjJC8dyAM8molFyfu63/pi66dSoJbFrS+ld9s6NsW3jlIKYAJUAHpu3Gs/ULmESXElhayBkgZZGQ72cueBnJBBIPJz14qpZ6VcS6NGsloJGuv43gw4zkjlj/Kt66tLe706NZUv3ZFUooTGVGMgbBjPsT1qarUrN3X3GtTSWkrfiYieIM20BksVjZdjG4DBWj9f3fJA6+30qzdxreajaT3eoTTmSNgBbuI41IxxnvxnpzW9BFbySwzWljFtQbiCy+YxxgevYnqRWZeRWV14jW6aJ45Ygsarhg/mEgswx1wvGR60p1IrVu19v+HKi6bbbvt/X9XIo9BaTUvNS3jgGPODSkySHouCW5AI7VX1HShaWtxKGiBlmIBLP23ZOBxwzYz7VryXDWcNpdG8laSRBHJ5iqdrDoD0I+YgfjSCO4+y3rJNbXLhSQ24qBuJOBjPGafLPeTbX/BJafK7NCSWbxyWgnaCVwhZjHG0pYgYGcseOW68ZrIm0JtsVybi4gJkCTINqqe7cLxnsOcn16VoQ6lfWmp/u9PJhuiGIU7kXrzxyOBnGOeTxU63ckx+xb4fsRdhMQnzBTnnBzgZwMkepx3oWjUmaxqVY2lJ6GTLHYXcLi7aGJhHviSJWLADkFjnIOQMg9MfjUUNzf2Iu9RjnVZYLcbY5yG80P8AdGFA53Y5/wAan1pLWynY6Y0jTxrlmDAhAOck9wDnlievfGBSNjDd3YkvI7lLgIZIYI3Ows38QY+uB34zxWV1GreW39d2T7WMm1EueErvUJvEl5bXckYmhBaXyhhJdwzu69ckYx6H1rvq4bwmWHiCWZ2WZri1H70EklUYqp55GQCfyrua6EktERViotW7CHoaKD0NFWjmqFbTf+QXZ/8AXBP/AEEU+9lSCymkfJUKeB1PsPc0zTf+QXZ/9cE/9BFM1IHyI3OfLjlR5ABn5Qc/ocH8KmXU1pq7RPaI8VpCkn31jUNj1xzTseaxz90fqaihuYrwHyJUdAeSrZqwAAMAYFZ25tOgPfUqXyr5MMYA5njwPowJ/QGpJ7O0mBae2hkwOroD/Oqd/f20OoWsTyZcFmCICzbtuAMD2JpJ5ru7l+yBRbRzRMdzfM5AwDwDgfe961vZJRLUHZX0RjXmg2motC6RraswEoEIChEA4LAcEk4/DOOlR22r3dlqDreKb0QgIrROPk9WOcA5z3OeDXRx6Vbg7pS87lQpaQ54HTjoOp7VFeRw+csyxIxiXYU253KTyB/n1qJ4h01aW3n+I5Sj0MxddaS+abypbeKaJNjNCxJwWPfCg8+pqC51SyTT7e5ulnnnXbId2CPcbc4HGe1X72OANBClyot3HmCOXDRewz1AJPAz2rNNwl7dXGlyGOArEFMrEMpG4kEE/eIIA/PPPFaWUumhmoOW7NQBdat4JJMWtpkOibgHbgjnsBz05qDVdLtENvHbxxI0jBJCyBgy5A57k5IHXoTWRaWKrHPE148M8ClPN8pXCZxyxxnr0J44yKne3is9StvPjVoWP70kZaMjnI2/wn5ecfWk56cqfyNIWUrp7G/K88U9u11AiW8WWLxPlQx4BIOCByfWpbM+ZZrIsgIDMfl/3jnmrcLRSQqYmVo8YUg5BFUZkj0+feAqW0pwVC8K/rgev9KyrK8bJbGbZHfQ20c8N15bjqhkjB3ZP3efrkfjWIVn83Tp7eW5kLfNKu0bgzAknnnHfoRxXR3rb7EgFJPNwiDGVJPT8O9YiWoeKC3tDJNLZjbJGZTtA2kcP1GR0A/HFQuZLVaf1saxb5dypM7NqElws0kkqKSo+V1UYwGcAeoPv0rStbeXVbO4mW4aJplVeIlU5Xvg9wcjn0qpDG1vcpefZhLAq7iWb5kQZAG05wFIz1zyfwSO1nYW9+kkUfm/MJNpZjJn5d57Z6EdBjFaNxtuzN8rWpK7f2ZZKktzJFcCUOodAAxyAcHHIwcYHQYqu11/aiTq0MPkh2WS5ndQZT0wgYcAdCcdjjNReJru4udMFzDJbxXNvkJEHDs7EgdOOOPfrU2nn+yrS1iSC3sZGG2QG32uAvfJPzZ/HkihKEd7v7v1MnGalZFbTbFltJoraK4mtpJT91VCFc4+8/JBAHTjFR6zdXOnyANpssjTMAI4igHGcngnsf7vPTvWlA5eG2Hlzyzc4glTcojYkqxCjAOMdfce9V2W4eTyY7SVXV3eQ7VzKq5AQYOFGGx61DV9TSDm7arTy/r8zI8GC7i8Sx28nkxxRWuCkLhsdcK3GQ3fGe1el1g+G0Bimfyo1G4bNvUDnj9T+ZrerZNPVFTqe0d7CHoaKD0NFUjCoZWkXE/2aygmijXdbK42MWxgAc8Drn9K05ceUwLBc8ZPqeKxrWR7SCCXdARLbRAB5CG4XoAAc9ae93fXiFUsAY+jLKOH/PGB74P0ola5vGDaTQtuY5oYPs7Il5bDymRh6DBU98cZz9Keuo/bpDbROIHU4lLEZB7hfX69Pxrjb208jUrmeQTW1wu3Pkys4AyOAeo+UZzx3+ld+kFtJbIqxxvDtGwYBGO2KzTu7N6FycU7rUr3UUUNmLeKKMmRgiKwyMnqT64GT+FQSWlnaiKOFJPtSr8rQgGTHTJJ4x9eKnl01Iis1miRTR52j+A+oI7Z9RUdrdQW8bm5cx3DfNIZBtyQOgPQgegNap2VkTd9CO0bULmSRJLgRrGcKyICWPcN2OOOmOc+lWTLJasVu2DQuOJQmAp9G9PrS2WFtLdd6CbZvZSecnk/qastMiLmXCDpljx+dZuXvNSWgm9TIkgQXk81uc26Ku+NHI3nqSMHsCOOhzUV7LBb3MM1rEZkigIEduu4lSRlT2HGCM+hqfVILBtlqtvD9oncBSkYyn+0fwB+tSx20WkYWKPFoQdyqPuHu2PQ9/fn1qXH3Wo9SYq2xgfZ1ZftQkitDMdstuF3GRSR0HGeg4Hv3qG0RobqCWSVHDgRo0ifKi4IYYByF4JG71PStvVNPDYaB1bzsgRScpyOXz2IHf8AxqtE5UZNu0ccco+zGPlJGJ6ZHsSoJGOtZqM3bmNEnLRbG7p8Fta2aQ2zKY17qc5Pc1DfTu+VgiMjQMsjMCOPUD1OM8e9MvbG2MgkeBDG6mJyFHy56N/n1qazJt2FnJGikLuRoxhXHfjsen51sk3uZ2uULoWs7wta273Ch97rETs5U4zzjkkZ/WrX2W6LpcxyxJIgIESJhWH90n+uBWiqqowoAHoKbtdSdu3Gc80pStshqVtjDjtjdTzXSOokLgy2jn7u3OAcdDnnuCcVCls19Mftyyw293GyiJZMxsTjHQ8tjPUD9Ku3irYmW5uRiF3z5iMQ8ZIAxx1BIA/KqQS3sbdFu5mkDIDBibcVfAGFycZz0P1qI25krDlNxMVry4g/s7Trq0MImnVI3ik2xhUcFmZR3OD16ZFbt9HJfXNyjBng3KgZVACjj+LPr1wM8Dms+1t4ruFzdz+XcSyeY05bcI13FgoONqnJ5H/1sbVpd28UDWYjDogwv2aNirA/TOD9TVuWyvqh8s5+/azNC3hSzt1TduPVmxyzdzxWM91atqT3lkvmxqhimdeEDllIJP0zkjNII2eUnUHmBRjsiy2517fd46cED3yamsRc2s12rWEiQSESAqR8oxtAAHoFXI/nU35k10K5eSN2O0dmbULstOknA4jxtXLM3B7/AHq26x9Ph8y6W5WFoz85kdo9hbJ4HIyRitinB3RghD0NFB6GitURUM/SoYLXSbeTAUmFGeRjyflHUmgA6lKrbZo7VVyDuKFyeh4OcAfz9q8n0N/EOvTw2EWtXKRhVYl3G1QMY4xz2wK1vEln4p8PRR3H/CQ3lxbsdpcEAqfcYrH6zR5XNN2Xkdv1WspKDtzPzO91Cxh8uzijjVQJxz3wVOfqTUtqxtdlnMXXHyxP/C4HQZ7HHb8q8l1G48VWENpeXWq3flzAtBIsqsOR7Dg4qO0vfFWrw3Bh1a7eK3TzJWeRQFA5zkj2rL6zQcrNu/ozT6jX5eayt6o9r8oHjc2O4zVPVIl/s25GwMjRtuTGe1ebRad4/mgjmTU7jZIodSbhBkEZFUdVbxzo8HnXt/fLCTjzFkVlH1I6U3VpRXMrr5MzjhqrlZWv6o9bWzsZbcbIYfLYbgUAH4gj+dQWyXVzbbXmUQNkIxXLunYnPH6GvL7HTPHV1YrPb3twsFwN4DTou4HvjtmppdN+IdvbvJ9vuCka5IS4QkAe1aOvB9Xb0ZLw9W9rr70ejWtlDa6qIomZY4496xs2cseMjPPAGP8AgVaZwZsdfl5ryNNK+IN5HDMt/M4IDxn7SmRkVHf2/wAQNMs5ry51OdYol3ORcISB9KU60Gk9dPJh7Co3bS/qj0i4tJoJbUTsj2EIKMwznBxgMPQYGT+mM1pX6B9OuFAz+6bGPXHFeFQa/wCMNQik+z6hqE6D5X2cgZ7Hiqz+LvE0JaFtYvFKfKVLDjHGOlKWLotav8DZYTEXXurTzPfWPn2+yRQ8ciZO0kcVWuYXiXc7u8afMkquA8fr1wCPrXg6+MPEaKqrrN2FUYA3DgflSQa34hIM8d9dsCx/eHDcgZPJHYc1lHE0k/i/Al4LEraK+89+0/UY7q2Uu4EwTc6MNpHvg8gVDBq/2rLQ283lq2GbaP5ZzXgr+JdbmYtJqlw7FgxLEE5HTtU6+LPEIdmGsXQZ8bjuHOPwoniaEvt2+RTwGI6R/FHtmpaxYTWE0Ql3M+EAAOQSQMn0AJHNVtbjtvMttNtkiW4nkWQKsYOAv8RHpnb9a8abUNduYUsGu7yRJgGWLGSw7EcZ6CrC3/iTTpnb7XfQyrGGZmHzbM4ySR0yaf1qiveUtV5B9SxGi5V96PddOtha2qw7UVl4IUYB56/j1q5ivn//AISrxCxydavM/wC+P8Kkj8UeI3ZUXWr0sTgAMOT+VTDF0FpzfgN5finq4/ie+YpcV4U2u+Ko7dZ31TUFib7rkjB7elRDxP4h/wCg3e/99j/CqeNw63l+All2Je0V9571RXhZ1/xKqb21i/C4ByWHQ9O3tTR4k8QH/mOXv/fY/wAKTx2HX2vwGssxT2ivvPdT0NFeGDxFr5/5jl9/32P8KK0hjMPLaX4GNXLsTFq8V95mRMVjjZSQQAQRXrGgXkXi7wpLY3jbp0XypSeuf4X/AM9xXk0f+qT/AHRW34W1s6HrcU7E/Z5P3cw/2T3/AA614uHrezrNS2ejPosXh3VoJx+Jao3dKt3vtP1Hwhf4W7ty0lozf3h2Htzn6E1Q1r/inPC8GiL8t7efv7zB5Udl/wA+h9a6zxZoxklh8R6few209uu5pHPyuo6Hjqe3vXlmoX9zqd7Jd3cnmTSHLNjFbV/3S5Xvsn5f1oc+F/fvnT03a/vf5dfU6nx0shtdB2Bj/oK9B7CpfCaXKeFtfN+si6ebc7BKDgvg/dz+H6VlReO9eggjhjuItkahFBhU4AGB2rP1bxRrGswiG9uy0IOfLVQqk+4HWpdampuom79vkUqFX2apNK19/nfsbnjdXOjeGtgY/wCh/wAI9lpPhusg1i/LhgPsT9R7isy08ca9Y2kVrDdIYol2oHiViB6ZIpZ/H/iGaCSE3caq6lSUhUHB98VSq0/aKpd+liXQreydKy9b+foM8BsT43sAScbn/wDQTWP4hY/8JHqQyf8Aj6k/9CNR6dqNzpN/Fe2jhZ4s7WIBxkY6H61WuriS7upbmYgyyuXcgYyScmsudezUfM39m1Vc+lrF201CC10S4geGGeV7hHEcobGArAngj1FWYLnTTp8ckk8KTJaSwmHy2LFyxKkHGMYI5znisE0w0KbQpU0zrX1rTp7ydnkgXbcS/ZX+z8RqUIUkBem7B6E98UW+r2Ys5YLm9hlAlmchYCqyFodoKjbx83rjrmuQxThV+1ZHsInZSatpiM8izW0h/etbBbbHkqYyFRsrgncV9RxnPNTabqmj/aUuLueMMywidfJwGwuH6Ic89uM9cmuKWnil7Z3H9Xi1a50S6haG7RRPsR7D7N5oU/u2/njscdjTrOaytEe3l1HzkaEKSqMUT96jEKGAzwCTwBXPCnis/aM19itrnbnVdHE8LLNbswR0eRkOcblIwwjGDjP8JHUVHFqGjiBEMseyO4DLiHDMvm5yw24+73BHpiuPFPFN15dhLDR7s66LWNPkSFLiRGEcaKm6LIQgyc9OQMofenaZfabFdPJfXkMpZ0DlYdquu3B/gJP/AI7681yQqxarC06i4LiLnPlj5jxwB9TUqvK6LeGjZ6s6aPVLB44DPNG7LHEi7oifLKq4yeOQGKnvSf2pawqNksMk5eESyiHhwN+4jI9CoPAziqkWlWT6l9j3Tq7orKpdQYyRkhs/eIOPlABP6VT0y0iu7wwzStGNrEbVySQCce1NznoiFTptN3fcinKG5lMWPLLnbgds8UVGKKVDZl4lWaQyP/VJ/uig0UVzz+J+p1Q+Begr3EzRCJpZDGOiFjgfhVc0UUXuKyQ00w0UVQmMNRmiiqM2MNNNFFUSxhppFFFUiGJilAoooYDhThRRSZSHiniiipKQ8U8UUVLKRIKtWV09jdpcxKjOnK7xkZ9aKKV7aotpNWZcj1ieOVpI4bdSSGA8sHaw6MM96hhu5IZ0mQKJFBGcdc5yT780UUpTl3BU4roRiiiiujDbMwxW6P/Z</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>19a0da5cfafb4c7ebf1473c222d5ec6f</mdFileID>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>https://services.arcgis.com/p5v98VHDX9Atv3l7/arcgis/rest/services/Functional_Classification_on_LRS_23_Feature_Service/FeatureServer</linkage>
            </onLineSrc>
        </distTranOps>
        <distFormat>
            <formatName>Feature Service</formatName>
        </distFormat>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="102100"/>
                <idCodeSpace>EPSG</idCodeSpace>
            </refSysID>
        </RefSystem>
    </refSysInfo>
</metadata>
