20210907
00131400
1.0
FALSE
pronasolos.pronasolos.bacia_paraguai_06_09_2021
002
0.000
Server=geobancao; Service=sde:postgresql:geobancao; Database=pronasolos; User=pronasolos; Version=sde.DEFAULT
ArcSDE Connection
Geographic
GCS_SIRGAS_2000
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/2.8.0'><WKT>GEOGCS["GCS_SIRGAS_2000",DATUM["D_SIRGAS_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4674]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
Dissolve SolosMS_Final_06_09_21 "C:\ZAE_MS\Compatibilizacao legenda\Base_Dados\Solos_Fase1e2_ajustado_topologia_06_2017\Solos 2020\SolosMS_Final_06_09_21_Dissolve.shp" Simbolo;Descrição # MULTI_PART DISSOLVE_LINES
FeatureClassToFeatureClass SolosMS_Final_06_09_21 "C:\Users\hiran.dias\Documents\ArcGIS\Projects\Pronasolos 2021\Geobancao - Pronasolos - Pronasolos.sde\pronasolos.pronasolos.Solos" bacia_paraguai_06_09_2021 # "Simbolo "Simbolo" true true false 254 Text 0 0,First,#,SolosMS_Final_06_09_21,Simbolo,0,254;Descrição "Descrição" true true false 254 Text 0 0,First,#,SolosMS_Final_06_09_21,Descrição,0,254" #
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/2.8.0'><FeatureDataset>pronasolos.pronasolos.Solos</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e6830542b6f4677415a5732536356346e55385470366a6b50574a75664b4a674e5768614254456152693156593d2a00;SERVER=geobancao;INSTANCE=sde:postgresql:geobancao;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=geobancao;DATABASE=pronasolos;USER=pronasolos;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>pronasolos.pronasolos.bacia_paraguai_06_09_2021</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>simbologia</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>100</field_length><field_alias>Simbologia</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/2.9.0'><FeatureDataset>pronasolos.pronasolos.Solos</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e6830542b6f4677415a5732536356346e55385470366a6b50574a75664b4a674e5768614254456152693156593d2a00;SERVER=geobancao;INSTANCE=sde:postgresql:geobancao;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=geobancao;DATABASE=pronasolos;USER=pronasolos;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>pronasolos.pronasolos.bacia_paraguai_06_09_2021</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Area_km2</field_name><field_type>DOUBLE</field_type><field_precision>10</field_precision><field_scale>3</field_scale><field_alias>Area_km2</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/2.9.0'><FeatureDataset>pronasolos.pronasolos.Solos</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e6830542b6f4677415a5732536356346e55385470366a6b50574a75664b4a674e5768614254456152693156593d2a00;SERVER=geobancao;INSTANCE=sde:postgresql:geobancao;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=geobancao;DATABASE=pronasolos;USER=pronasolos;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>pronasolos.pronasolos.bacia_paraguai_06_09_2021</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Area_km2</field_name><field_type>DOUBLE</field_type><field_precision>10</field_precision><field_scale>3</field_scale><field_alias>Area_km2</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/2.9.0'><FeatureDataset>pronasolos.pronasolos.Solos</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e6830542b6f4677415a5732536356346e55385470366a6b50574a75664b4a674e5768614254456152693156593d2a00;SERVER=geobancao;INSTANCE=sde:postgresql:geobancao;DBCLIENT=postgresql;DB_CONNECTION_PROPERTIES=geobancao;DATABASE=pronasolos;USER=pronasolos;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>pronasolos.pronasolos.bacia_paraguai_06_09_2021</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>areakm2</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>1</field_scale><field_alias>areakm2</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateGeometryAttributes "Bacia do Paraguai" "areakm2 AREA_GEODESIC" # "Square kilometers" PROJCS["World_Cylindrical_Equal_Area",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Cylindrical_Equal_Area"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],UNIT["Meter",1.0]] "Same as input"
20211109
20423400
20211109
20423400
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.8.0.29751
solos_bacia_paraguai
pronasolos
Bacia do Paraguai
Enterprise Geodatabase Feature Class
0.000
dataset
EPSG
6.11(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
pronasolos.pronasolos.bacia_paraguai_06_09_2021
Feature Class
0
objectid
objectid
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.
Simbolo
Simbolo
String
254
0
0
Descrição
Descrição
String
254
0
0
st_area(shape)
st_area(shape)
Double
0
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
20211109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