20160303 11171300 1.0 FGDC CSDGM Metadata FALSE clip_nlcd_2011_to_2014.img 002 -2030010.000000 2513010.000000 -2117010.000000 732000.000000 1 Projected GCS_Sphere_ARC_INFO Linear Unit: Meter (1.000000) Sphere_ARC_INFO_Lambert_Azimuthal_Equal_Area <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/10.4'><WKT>PROJCS[&quot;Sphere_ARC_INFO_Lambert_Azimuthal_Equal_Area&quot;,GEOGCS[&quot;GCS_Sphere_ARC_INFO&quot;,DATUM[&quot;D_Sphere_ARC_INFO&quot;,SPHEROID[&quot;Sphere_ARC_INFO&quot;,6370997.0,0.0]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Azimuthal_Equal_Area&quot;],PARAMETER[&quot;false_easting&quot;,0.0],PARAMETER[&quot;false_northing&quot;,0.0],PARAMETER[&quot;central_meridian&quot;,-100.0],PARAMETER[&quot;latitude_of_origin&quot;,45.0],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-12742100</XOrigin><YOrigin>-12742100</YOrigin><XYScale>353442495.92849648</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 16 TRUE None 1 IMAGINE Image TRUE discrete signed integer 128 20200528 19545800 20200528 19571000 20000000 5000 FGDC Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686 NLCD 2011 1 -128.167017 -65.794809 51.586664 22.708570 National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC)... <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium. NLCD 2011 provides - for the first time - the capability to assess wall-to-wall, spatially explicit, national land cover changes and trends across the United States from 2001 to 2011. As with two previous NLCD land cover products NLCD 2011 keeps the same 16-class land cover classification scheme that has been applied consistently across the United States at a spatial resolution of 30 meters. NLCD 2011 is based primarily on a decision-tree classification of circa 2011 Landsat satellite data.</SPAN></P><P><SPAN STYLE="font-size:12pt">The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). </SPAN></P><P><SPAN>Preferred NLCD 2011 citation: Homer, C.G., Dewitz, J.A., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J., Herold, N.D., Wickham, J.D., and Megown, K., 2015, Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354</SPAN></P><P><SPAN>Data downloaded from: http://www.mrlc.gov/nlcd2011.php </SPAN></P></DIV></DIV></DIV> the Multi-Resolution Land Characteristics (MRLC) Consortium NLCD land cover Raster Dataset dataset 2 1 0 -2030010.000000 -2117010.000000 -2030010.000000 732000.000000 2513010.000000 732000.000000 2513010.000000 -2117010.000000 241500.000000 -692505.000000 151434 30.000000 94967 30.000000 clip_nlcd_2011_to_2014.img.vat Table 17 OID OID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Value Integer 10 10 0 Count Count Double 19 0 0 Land_Cover Land_Cover String 50 0 0 Layer_1 16 95.000000 0.000000 20200528 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AADAGAK43wxeLNGbe7uY3YzK0asvzBh0xnvx19q7KvUoRSjodblzai0UUVsI5/xPBNLBayo4EUUwMilcg54B/p+Ned6tbSPcT2DqDHN88LE42E5wR+ePp+Feu3UZmtZYgAS6FQD0ORXn19b3Fvf26z2rRzKT87Dcrrg9+nGcZ5xmuDFQfMpI2ptWcZbMztJdLixgmVgcIF+UEev+NWzEnneY+wEnggc5xjrSwW0dtAI1A2jk8d+uaHgV5RKCyyDuvUj0Oe1cctXcuMfdSZky2lxZ38l2LeCZmXIMbNmPIOTjHJ6fhUWm2d1DIJpcQgtuIZQWzj7uc9ME/pWq8skN3GyOQmdj8jOMHDfnx/8Aqo0gIYJ4GfzDHO/zFwx556jp1xzzWifcw5FzFXWJbi4hkhkikCRhS0inA7HHvWRbTiAK00qgRtgK25WP5DnHpW9JfSwXFlZS4keaRk+XnKDjnPuRz7Go9Vs47Mx36rtUOA+04zngH14pp66mdSHN7yewkNjK01ja3LRyRgh1VB83B5Ocey5PX8q6i9g8+FlNvvOASq45HtnvXFiW51TULOwQpEyIXaRMkRqR8pzx2x374966+WF4h591cKVwFwoAHtlvr+HTgVerWpVF62icrLM6ALIlvhG54+7n1xz/ADq59qlUJFbhSjAKQQcDkde/4U46faTXEYEhdWOwrGpLN2659P0rSvIYLe2dEjiDFSELrxn39yK54Rlqz0JTjoitp0gur3yyoVkGfLLZAOPQ/Trn/wCsy8hjZudgGM8dM88j86ZpTsNQkuZN4RgwIbgngfyp87pMqMgySx989/8ACsq/M4KxjOUYyM5o3QsyxAgkjI65wOfrULiKY43YDjdnOT9aszXMjSkKFUKMKAxJx6/z96rXTBEDktvYdzg5/wA/qaVNWWqOFynOp7j1I5ogiMikEkgHkc+9Fkh5Abdxgf5981BbbmdmbLF88k96u2kOOVx8vXPfHHX/AApqNo3Ois5KXI2WV/cps3kDO3IB/H9D+lVzCWByG4HJ9OtODKu4knG3Lsew/wA8VXWVnfa4wjcbVH481pTi0tNziqO7VyZUWQZjjDEYzzSTiP7qOgIBOQckHHpn1x0ppuooWS2OdxAzjvn+mcfrT4oZHU/KCCdvyjBxn1/p9a0hTbZcIp6Gp4cjlF/F5EIklU5VXkwCB/M8/pXpi52jdjOOcVzPhjQ0t7Vbq5iPnuQQrgjAHQ49eBXT5r1KUeWNjb0FooorQANZ+paZb6naSW8y43oyLIoG+PcMEqSDg/4VoUlJpPRgm07o8zn0uXSLk2/nNM0eGJ3bQ64OOMde/XqKdG6yoHR8qw4Nd3d6RZXs3nTQ5kwF3AkHAz/iaybvwuqRE6exVskskhyG+h7VwVMNLXlOhVlJ3Zyl5aNLF5keFkTLLkkKxwevtWArv4d1ZvLs3axmUD922SpHVgPTkV1V1Zuu6C6iIPRkYcH/ABFUvJjjt1t5AzjBAUgkEfX8f84rlTadmE6SkuaLsyncXum6lp/mxXCowynmAlWAzhgPrx7VNYxPPpUiSOZyIykaOQyMOxx3PHfrjt0GNeeGCm66smYvneIpOcsSOOo6+pPp7mt7Slu1tRLfhvtTAggnO3nA29ewBq9LaMwipuXvo0rLRY/tEt6WAknhRJRGRgkDntx0HSpL+8WxiO+VMMvyIejVT0/U7mRb4FdoinMagDsB/hin6qyR2lvMWBkxgLtznHb/APVTnLTQ2oxVx0NykZUqIwpGD5S8HGc4P19qrXl6126wwlFU5JPp0/8Ar1BpEBIe4OFiHy7McH1OT9antIY7lrqV0jZEJXeTyAOp9sD1rNNuyRu0ot3HRW7W6SIMAHPGO/t3/wD1VSvLuO3ba+5zjO1cDGTj2Hp3rQvJ7eC1jeOULG3KAchh7ce4H41XufKKkzKMHG3IHPtzSqWVkziqxk/f6MwWO+USeXsUqMfOO+O31/L0p00kV1GWVdqx468n0Pp6j60++RpXiBjDLIfmbI4z/nvVeKNhtjC7VK7RnvzkHP5fpWvs1y3ZGFfLUt+Jag27IUXPIAPynJ9uP8/rViGVQpWTOWBJO8ED069etRwxyRIoDIGABUkYwR/nr+tEginDMrBXDkfP6+3qP8+lTyJrUKk/fb8xskkYj2KSFx80hX39PpSAKtqyKDuJJIGCQPbr1/pUDLHGru8zuWIPCEkf04pfMCwjG5FYcuTyoA/+uKqMVazMld6W1JLW3dA0rAyM+Srj+EY4HPQ8E+ldZ4V025ur2O9mG2CLLLwcSE5wOfTAORXPW0LytCqhh5jgBgpbq2Pr6/pXrUUSQxLGgwqjAFd1GGly4roSUUUV0GgUUUUAFFFFABRRRQBDPbQ3KbJo1dfcdKwLjworzF4LrYv9x0z+oI966WkrOdKE/iQ1JrY5WHwtNHMS06NGzgnGQQOhxxVm48MxNEfJmk3ryofBBPoa6GioWGp9ivaSPPLiGSOdo5cxsnDLikTZn5kViPulu1dXr1iLi1EyRFpUPOwfMVrl7SyMrLbW0bOQMICeg9ya8+rScJ2NoyurlaOJIhIApALbsKSB68DtSBgISjMyh8kgnAx3+lXruzubTabiFkDdD1B/Kufur5DM6uWEYGMlRgc46dyf5VEU07NBUmrGmxG7ywRtXsRuI/T6ev5VWvtqeTuOQzfKx6Z7DFQ2kTEs7lhGPljDKAVUd8jk+1LIftF7axKHmVyFPzABDnIyfqR1Papcr1VEy5ZSjyx3Mi5lRy8SjcinLOAFwQcDHQEZ9MVJb20kMRYZLBSoC9e1dT/wiuozRL5EKx7TwZpccA8dAc/j/wDrLTwxqsVtM8sMankbAwZvZlIP1wPr7V3qlKVrLQwhG123qYUjSJDvjO8gHGMdcY6noP8AGmvayT2z+VEwV5AML6sCSPrx+prrdH0++S5DXGnRi1TLbnUmQ/hnB+709+ldkoXaCowDz0xWqw3KtWJRUtzx8aJqkShp7CaKMZG4qw5ycf8A66fZ6LPc/vI4ZJI4zuOV+VRgjn06V6/io4oo4IxHGiog6KowKaw8NxqLWiPJo7t7e4gdTGJEl8wsTggj244/+vXqlldJfWcVxGQVkUH6HuK5HxXo0CyQSQwqolLmUAHGeMEHtzgY707wrfJayNazTHbO4C7iSN/1Pc/zA9aIycZcrHGLidtRRRW5QUUUUAFFFFABRRRQAUUUUAFFFFABUCWkEdw06RKsrDDMB1qeik0mBXu7Zbq1khbo4wD6H1rhbuxMMrxSABg3zLgc8V6DmsTXrESiOdYWkK/K4Rckjt+X9a5sVS548y3RpTlZ2OVt4GvLk2dvjziDjAyAMflxXUab4attPmWbe8jKcqrEbVOOvTmszwvJp/8Aa0y25BuHjJYlcEYI4rsMVjhMPFR53qx1G07C0UUV6BkFFFFABRRRQBR1GxW/tHhJCsR8rYzjkH8sgV53rEd7aTLGMRmOTLZ4yOoxjv0PHtXqNUNT0i11SAxXC45++vDD8aiVKE5JyBykl7pJptybzTLW5b70sSucepHNXKighWCGOJPuxqFX6AYqWrB7hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBD9nh80TeUnmDOH2jIz15qaiigAooooAKKKKACiiigAooooAKKKKACiiigD/9k=