20211020
09050200
1.0
FALSE
Subwatersheds_GenRegs
002
file://\\nvca-data01\data\Geomatics\PRODUCTION\BaseMap_2021-10-19.gdb
Local Area Network
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_17N
<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/10.1'><WKT>PROJCS["NAD_1983_UTM_Zone_17N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26917]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>26917</WKID><LatestWKID>26917</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp M:\Geomatics\BaseMap\BaseMap.gdb\WatershedBoundaries Subwatersheds_GenRegs # "OID_ "OID_" true true false 9 Long 0 9 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,OID_,-1,-1;Perimeter "Perimeter" true true false 19 Double 0 0 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,Perimeter,-1,-1;Area "Area" true true false 19 Double 0 0 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,Area,-1,-1;Acres "Acres" true true false 19 Double 0 0 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,Acres,-1,-1;Hectares "Hectares" true true false 19 Double 0 0 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,Hectares,-1,-1;Name "Name" true true false 50 Text 0 0 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,Name,-1,-1;Regs_done "Regs_done" true true false 4 Short 0 4 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,Regs_done,-1,-1;SqKm "SqKm" true true false 19 Double 0 0 ,First,#,M:\BASE_Mapping\Boundaries\Watersheds\GenRegs_subsheds.shp,SqKm,-1,-1" #
CalculateField "HEC-RAS XSs & Drainlines\Gen Reg Subwatersheds" Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2
VB #
CalculateField Subwatersheds_GenRegs Regs_done 2
VB #
CalculateField Subwatersheds_GenRegs Regs_done 1
VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2
VB #
CalculateField Subwatersheds_GenRegs Regs_done 1
VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1
VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 9 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1
VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1
VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 2 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
CalculateField Subwatersheds_GenRegs Regs_done 0 VB #
CalculateField Subwatersheds_GenRegs Regs_done 1 VB #
20150608
14173800
20150608
14173800
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.3143
Subwatersheds_GenRegs
NVCA
File Geodatabase Feature Class
dataset
EPSG
7.11.2
0
Simple
FALSE
0
TRUE
FALSE
Subwatersheds_GenRegs
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.
OID_
OID_
Integer
4
0
0
Perimeter
Perimeter
Double
8
0
0
Area
Area
Double
8
0
0
Acres
Acres
Double
8
0
0
Hectares
Hectares
Double
8
0
0
Name
Name
String
50
0
0
Regs_done
Regs_done
SmallInteger
2
0
0
SqKm
SqKm
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.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20150608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==