20230627
15344500
1.0
FALSE
Contour huc_020700110106.tif \\ccsvr02\Users\sJohnson\Douglas_Point_Topography\douglas_point_topography\douglas_point_topography.gdb\douglaspoint_contour_4m 4 0 1 Contour #
Clip "4 meter intervals" RasterT_Hillsha1_Dissolve_new \\ccsvr02\Users\sJohnson\Douglas_Point_Topography\Analysis\douglas_point_hydrography\douglas_point_hydrography.gdb\c4meterintervals_Clip1 #
ExportFeatures c4meterintervals_Clip1 \\chesconse-app01\E\GIS\_Web_Services\BLM\douglas_point_topohydro.gdb\douglaspoint_contour_4m # NOT_USE_ALIAS "Id "Id" true true false 4 Long 0 0,First,#,c4meterintervals_Clip1,Id,-1,-1;Contour "Contour" true true false 8 Double 0 0,First,#,c4meterintervals_Clip1,Contour,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,c4meterintervals_Clip1,Shape_Length,-1,-1" #
ExportFeatures douglaspoint_contour_4m \\chesconse-app01\E\GIS\_Web_Services\BLM\douglas_point_topohydro.gdb\douglaspoint_contour_4m_hillshade # NOT_USE_ALIAS "Id "Id" true true false 4 Long 0 0,First,#,douglaspoint_contour_4m,Id,-1,-1;Contour "Contour" true true false 8 Double 0 0,First,#,douglaspoint_contour_4m,Contour,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,douglaspoint_contour_4m,Shape_Length,-1,-1" #
douglaspoint_contour_4m_hillshade
002
file://\\chesconse-app01\E\GIS\_Web_Services\BLM\douglas_point_topohydro.gdb
Local Area Network
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/3.1.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</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>
20230714
14164700
20230714
14164700
CONTOUR
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.0.41833
douglaspoint_contour_4m
DEM
Contour
Elevation
Douglas Point
Contour derived from DEM, created by Chesapeake Conservancy's CIC
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
douglaspoint_contour_4m_hillshade
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Id
Id
Integer
4
0
0
Contour
Contour
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
20230714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