20230807
13475600
1.0
FALSE
Polylines_ExportFeatures
002
file://\\NOTEPROGEO-15\C$\Users\cgued\AppData\Local\Temp\ArcGISProTemp4588\8a781897-63c2-4418-a1fd-7c6fa53da0c6\Default.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]],VERTCS["EGM96_Geoid",VDATUM["EGM96_Geoid"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0],AUTHORITY["EPSG",5773]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID><VCSWKID>5773</VCSWKID><LatestVCSWKID>5773</LatestVCSWKID></GeographicCoordinateSystem>
ExportFeatures "loteamentos - ups - bairros\Polylines" C:\Users\cgued\AppData\Local\Temp\ArcGISProTemp4588\8a781897-63c2-4418-a1fd-7c6fa53da0c6\Default.gdb\Polylines_ExportFeatures # NOT_USE_ALIAS "Name "Name" true true false 320 Text 0 0,First,#,loteamentos - ups - bairros\Polylines,Name,0,320;FolderPath "FolderPath" true true false 320 Text 0 0,First,#,loteamentos - ups - bairros\Polylines,FolderPath,0,320;SymbolID "SymbolID" true true false 4 Long 0 0,First,#,loteamentos - ups - bairros\Polylines,SymbolID,-1,-1;AltMode "AltMode" true true false 2 Short 0 0,First,#,loteamentos - ups - bairros\Polylines,AltMode,-1,-1;Base "Base" true true false 8 Double 0 0,First,#,loteamentos - ups - bairros\Polylines,Base,-1,-1;Clamped "Clamped" true true false 2 Short 0 0,First,#,loteamentos - ups - bairros\Polylines,Clamped,-1,-1;Extruded "Extruded" true true false 2 Short 0 0,First,#,loteamentos - ups - bairros\Polylines,Extruded,-1,-1;TimeSpan "TimeSpan" true true false 2 Short 0 0,First,#,loteamentos - ups - bairros\Polylines,TimeSpan,-1,-1;TimeStamp "TimeStamp" true true false 2 Short 0 0,First,#,loteamentos - ups - bairros\Polylines,TimeStamp,-1,-1;BeginTime "BeginTime" true true false 255 Text 0 0,First,#,loteamentos - ups - bairros\Polylines,BeginTime,0,255;EndTime "EndTime" true true false 255 Text 0 0,First,#,loteamentos - ups - bairros\Polylines,EndTime,0,255;Snippet "Snippet" true true false 268435455 Text 0 0,First,#,loteamentos - ups - bairros\Polylines,Snippet,0,268435455;PopupInfo "PopupInfo" true true false 268435455 Text 0 0,First,#,loteamentos - ups - bairros\Polylines,PopupInfo,0,268435455;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,loteamentos - ups - bairros\Polylines,Shape_Length,-1,-1" #
20230807
13475600
20230807
13475600
Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.0.0.36056
Loteamento UPS Bairros lines
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Polylines_ExportFeatures
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.
Name
Name
String
320
0
0
FolderPath
FolderPath
String
320
0
0
SymbolID
SymbolID
Integer
4
0
0
AltMode
AltMode
SmallInteger
2
0
0
Base
Base
Double
8
0
0
Clamped
Clamped
SmallInteger
2
0
0
Extruded
Extruded
SmallInteger
2
0
0
TimeSpan
TimeSpan
SmallInteger
2
0
0
TimeStamp
TimeStamp
SmallInteger
2
0
0
BeginTime
BeginTime
String
255
0
0
EndTime
EndTime
String
255
0
0
Snippet
Snippet
String
268435455
0
0
PopupInfo
PopupInfo
String
268435455
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
20230807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=