20200508
14505300
1.0
FALSE
Copy C:\Users\cecilia.CODEXREMOTE0\AppData\Roaming\ESRI\Desktop10.7\ArcCatalog\V03.sde\sisdia.v03.d6_2_nucleos_rurais C:\Users\cecilia.CODEXREMOTE0\AppData\Roaming\ESRI\Desktop10.7\ArcCatalog\SISDIA.sde\CRT62_Parcelamento_Solo\sgbde.sisdia.nucleos_rurais FeatureClass #
002
sgbde.sisdia.nucleos_rurais
152495.553000
252624.569400
8223243.557100
8284626.425600
1
Server=10.233.47.40; Service=sde:postgresql:10.233.47.40; Database=sgbde; User=sdb_sisdia; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_SIRGAS_2000
Linear Unit: Meter (1.000000)
SIRGAS_2000_UTM_Zone_23S
<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/10.6'><WKT>PROJCS["SIRGAS_2000_UTM_Zone_23S",GEOGCS["GCS_SIRGAS_2000",DATUM["D_SIRGAS_2000",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",10000000.0],PARAMETER["Central_Meridian",-45.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",31983]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>1900</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>31983</WKID><LatestWKID>31983</LatestWKID></ProjectedCoordinateSystem>
150000000
5000
20201027
11175300
20201027
11175300
ISO19139
A5SQ6SI7-BB75-T4B4-7PXZ-6PNR30K8WHMO
dataset
SISDIA
SEMA/SUGAT/COINFA
IDE Ambiental do Distrito Federal
BR
SISDIA
SISDIA
20201027
SDE Feature Class
0.000
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
Nucleos Rurais
2020-05-11T00:00:00
SISDIA
SEMA/SUGAT/COINFA
IDE Ambiental do Distrito Federal
BR
SISDIA
Nucleos Rurais
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Nucleos Rurais</SPAN></P></DIV></DIV>
SEDUH
Parcelamento do Solo
Territorial
Nucleos Rurais
Parcelamento do Solo , Parcelamento do Solo
SISDIA
SEMA/SUGAT/COINFA
IDE Ambiental do Distrito Federal
BR
SISDIA
SEMA/SUGAT/COINFA
IDE Ambiental do Distrito Federal
BR
SISDIA
False
SISDIA
1
-48.247223
-47.305958
-15.492035
-16.058218
SISDIA
SEMA/SUGAT/COINFA
IDE Ambiental do Distrito Federal
BR
SISDIA
SISDIA
4685
EPSG
7.8.3(8.1.2)
sgbde.sisdia.nucleos_rurais
Feature Class
4685
objectid
objectid
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
gid
gid
Integer
4
10
0
nome
nome
String
255
0
0
codigo
codigo
Integer
4
10
0
nm_ocupaca
nm_ocupaca
String
255
0
0
ds_enderec
ds_enderec
String
255
0
0
ds_ender_1
ds_ender_1
String
255
0
0
dt_cadastr
dt_cadastr
String
255
0
0
nm_ativida
nm_ativida
String
255
0
0
ds_especif
ds_especif
String
255
0
0
nm_naturez
nm_naturez
String
255
0
0
geom
geom
Geometry
4
0
0
st_area(geom)
st_area(geom)
Double
0
0
0
st_perimeter(geom)
st_perimeter(geom)
Double
0
0
0
Simple
FALSE
4685
TRUE
FALSE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