20240626
14232000
1.0
FALSE
ExportFeatures "Campo_secundário_camada_mapa_de_cobertura\Campo secundário camada mapa de cobertura" D:\teste\teste_servico\export_feat.gdb\teste_campo_secundario_camada_mapa # NOT_USE_ALIAS "class_name "Class_Name" true true false 128 Text 0 0,First,#,Campo_secundário_camada_mapa_de_cobertura\Campo secundário camada mapa de cobertura,class_name,0,128;shape_leng "Shape_Leng" true true false 0 Double 0 0,First,#,Campo_secundário_camada_mapa_de_cobertura\Campo secundário camada mapa de cobertura,shape_leng,-1,-1;nivel_i "Nivel_I" true true false 10 Text 0 0,First,#,Campo_secundário_camada_mapa_de_cobertura\Campo secundário camada mapa de cobertura,nivel_i,0,10;Shape__Area "st_area(shape)" false true true 0 Double 0 0,First,#,Campo_secundário_camada_mapa_de_cobertura\Campo secundário camada mapa de cobertura,Shape__Area,-1,-1;Shape__Length "st_perimeter(shape)" false true true 0 Double 0 0,First,#,Campo_secundário_camada_mapa_de_cobertura\Campo secundário camada mapa de cobertura,Shape__Length,-1,-1" #
CopyFeatures D:\teste\teste_servico\export_feat.gdb\teste_campo_secundario_camada_mapa D:\teste\teste_servico\edição.sde\sgbde.sisdia.GEF\sgbde.sisdia.teste_campo_secundario_camada_mapa # # # #
Rename D:\teste\teste_servico\edição.sde\sgbde.sisdia.GEF\sgbde.sisdia.teste_campo_secundario_camada_mapa D:\teste\teste_servico\edição.sde\sgbde.sisdia.GEF\sgbde.sisdia.campo_secundario_camada_mapa FeatureClass
Rename D:\teste\teste_servico\edição.sde\sgbde.sisdia.GEF\sgbde.sisdia.campo_secundario_camada_mapa D:\teste\teste_servico\edição.sde\sgbde.sisdia.GEF\sgbde.sisdia.campo_secundario_camada_mapa_cobertura FeatureClass
sgbde.sisdia.teste_campo_secundario_camada_mapa
002
Server=10.233.147.28; Service=sde:postgresql:10.233.147.28,5432; Database=sgbde; User=sisdia; Version=sde.DEFAULT
ArcSDE Connection
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/3.0.0'><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>
20240626
14451300
20240626
14451300
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.0.3.36057
Campo Secundário
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>* Camada referente as informações contidas no mapa de cobertura vegetal do DF. O mapa de cobertura vegetal do DF foi dissolvido em 15 camadas descriminadas dentro do item "Mapa de cobertura vegetal"</span>
campo secundario
mapa de cobertura
cobertura vegetal
Campo secundário camada mapa de cobertura
Enterprise Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
sgbde.sisdia.teste_campo_secundario_camada_mapa
Feature Class
0
objectid
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
class_name
Class_Name
String
128
0
0
shape_leng
Shape_Leng
Double
8
38
8
nivel_i
Nivel_I
String
10
0
0
shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
st_area(shape)
st_area(shape)
Double
0
0
0
st_perimeter(shape)
st_perimeter(shape)
Double
0
0
0
20240626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