20230510
11463700
1.0
FALSE
DefineProjection "Áreas Úmidas" GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]
ExportFeatures "Áreas Úmidas" C:\Users\IDR\OneDrive\Desktop\ATLAS_DIGITAL\AreasUmidas_EstradaFerro.shp # NOT_USE_ALIAS "Id "Id" true true false 6 Long 0 6,First,#,Áreas Úmidas,Id,-1,-1" #
file://\\NOTE-PROGEO-05\C$\Users\IDR\OneDrive\Desktop\ATLAS_DIGITAL\AreasUmidas_EstradaFerro.shp
Local Area Network
AreasUmidas_EstradaFerro
002
0.000
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]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</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></GeographicCoordinateSystem>
20240220
11225000
20240220
11225000
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.0.3.36057
AreasUmidas_EstradaFerro
Shapefile
0.000
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
AreasUmidas_EstradaFerro
Feature Class
0
FID
FID
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
6
6
0
20240220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=