20180906 10340700 1.0 FALSE Reclassify AACO_2017_2013CD_patched_All.tif Value "-3 -3;-2 -2;0 -2;1 1;2 -2" K:\GIS\AnneArundel_UTC_ChangeDetection\Analysis\2017_2013\AACO_2017_2013CD_3classes_All.tif NODATA AACO_2017_2013CD_3classes_WebMerc.tif file://\\Ccsvr01\d\GIS\_Web_Services\AnneArundel_TreeCanopy_ChangeDetection\Data\AACO_2017_2013CD_3classes_WebMerc.tif Local Area Network 002 -8563690.000000 -8498666.000000 4678695.000000 4759752.000000 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <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/10.6'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</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><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 8 FALSE LZW 1 TIFF TRUE discrete signed integer -128 20190219 12170000 20190219 12182200 150000000 5000 FGDC Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.6.0.8321 AACO_2017_2013CD_3classes_WebMerc_tif3 1 -76.928936 -76.344816 39.265348 38.699335 This Anne Arundel county Tree Canopy (TC) change layer displays areas of TC gain and loss for the period between 2013-2017 at a 1m resolution for Anne Arundel. <div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>This Anne Arundel county Tree Canopy (TC) change layer displays areas of TC gain and loss for the period between 2013-2017 at a 1m resolution for Anne Arundel county, MD. </span></span></p><p><span /></p></div></div></div> Anne Arundel county government, Chesapeake Conservancy, Conservation Innovation Center. <div style='text-align:Left;'><p style='margin:0 0 11 0;'><span><span>The organizations responsible for generating and funding this dataset make no representations of any kind including, but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other condition. Credit should always be given to the data source when this data is transferred, altered, or used for analysis.</span></span></p></div> CIC Tree Canopy Change Anne Arundel Raster Dataset dataset EPSG 8.8(9.3.1.2) 2 1 0 -8563690.000000 4678695.000000 -8563690.000000 4759752.000000 -8498666.000000 4759752.000000 -8498666.000000 4678695.000000 -8531178.000000 4719223.500000 65024 1.000000 81057 1.000000 AACO_2017_2013CD_3classes_WebMerc.tif.vat Table 3 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 Acres Acres Integer 10 10 0 Band_1 1.000000 -3.000000 8 20190219 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