20220804
15401800
1.0
FALSE
ArcVAN.LKUYER.StreetTrees
002
Server=USLSQL-GIS; Service=sde:sqlserver:USLSQL-GIS; Database=ArcVAN; User=LKUYER; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_10N
<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/3.0.0'><WKT>PROJCS["NAD_1983_UTM_Zone_10N",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",-123.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26910]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-923.4481656727088</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>26910</WKID><LatestWKID>26910</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass "\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp" "M:\Mapping Requests - External\Urban Systems\Natural Asset Management Plan\NaturalAssetManagementPlan.gdb" StreetTrees # "objectid "objectid" true true false 5 Long 0 5,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,objectid,-1,-1;GlobalID "GlobalID" true true false 39 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,GlobalID,0,39;Inventory_ "Inventory_" true true false 20 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Inventory_,0,20;Asset_ID_ "Asset_ID_" true true false 10 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Asset_ID:,0,10;TreeSpecie "TreeSpecie" true true false 200 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,TreeSpecie,0,200;Tree_speci "Tree_speci" true true false 17 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Tree_speci,0,17;Specify_ot "Specify_ot" true true false 254 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Specify_ot,0,254;Condition_ "Condition_" true true false 5 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Condition:,0,5;Diameter_a "Diameter_a" true true false 3 Short 0 3,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Diameter_a,-1,-1;Height__ "Height__" true true false 19 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Height_:,0,19;Canopy_Spr "Canopy_Spr" true true false 17 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Canopy_Spr,0,17;Age_Catego "Age_Catego" true true false 254 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Age_Catego,0,254;CreationDa "CreationDa" true true false 20 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,CreationDa,0,20;Creator "Creator" true true false 32 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Creator,0,32;EditDate "EditDate" true true false 20 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,EditDate,0,20;Editor "Editor" true true false 32 Text 0 0,First,#,\\01-V51-001\Mapping\_Projects\Parks Asset MC Upload\2019_Park Assets Joined\Download FROM Online Collector\Street Trees\For Consultant\StreetTree_PortMoody_forConsultant.shp,Editor,0,32" #
CopyFeatures StreetTrees "C:\Users\lkuyer\AppData\Roaming\Esri\ArcGISPro\Favorites\ArcVAN (4).sde\ArcVAN.LKUYER.StreetTrees" # # # #
Rename "C:\Users\lkuyer\AppData\Roaming\Esri\ArcGISPro\Favorites\ArcVAN (4).sde\ArcVAN.LKUYER.StreetTrees" "C:\Users\lkuyer\AppData\Roaming\Esri\ArcGISPro\Favorites\ArcVAN (4).sde\ArcVAN.LKUYER.VAN_1755_0026_01_StreetTrees" FeatureClass
20221007
10474600
20221007
10474600
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 13.0.0.36056
StreetTrees
1755.0026.01
Port Moody Street Tree Inventory
Enterprise Geodatabase Feature Class
dataset
EPSG
6.13(3.0.1)
0
Simple
FALSE
0
TRUE
TRUE
ArcVAN.LKUYER.StreetTrees
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
objectid
objectid
Integer
4
10
0
GlobalID
GlobalID
String
39
0
0
Inventory_
Inventory_
String
20
0
0
Asset_ID_
Asset_ID_
String
10
0
0
TreeSpecie
TreeSpecie
String
200
0
0
Tree_speci
Tree_speci
String
17
0
0
Specify_ot
Specify_ot
String
254
0
0
Condition_
Condition_
String
5
0
0
Diameter_a
Diameter_a
SmallInteger
2
5
0
Height__
Height__
String
19
0
0
Canopy_Spr
Canopy_Spr
String
17
0
0
Age_Catego
Age_Catego
String
254
0
0
CreationDa
CreationDa
String
20
0
0
Creator
Creator
String
32
0
0
EditDate
EditDate
String
20
0
0
Editor
Editor
String
32
0
0
20221007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