20201025
17002900
1.0
XTools Pro Metadata
FALSE
CalculateField wwf_z_nucleo Zona "nucleo" VB #
FeatureClassToFeatureClass RB_AmazoniaCentral_comZonas "F:\OneDrive - Ministerio do Meio Ambiente\GEO\MXD\Dados\Reserva_da_biosfera.gdb\Site" RB_AmazoniaCentral # "ID "ID" true true false 4 Long 0 0,First,#,RB_AmazoniaCentral_comZonas,ID,-1,-1;SOURCETHM "SOURCETHM" true true false 16 Text 0 0,First,#,RB_AmazoniaCentral_comZonas,SOURCETHM,0,16;AREA "AREA" true true false 8 Double 0 0,First,#,RB_AmazoniaCentral_comZonas,AREA,-1,-1;PERIMETER "PERIMETER" true true false 8 Double 0 0,First,#,RB_AmazoniaCentral_comZonas,PERIMETER,-1,-1;ACRES "ACRES" true true false 8 Double 0 0,First,#,RB_AmazoniaCentral_comZonas,ACRES,-1,-1;Zona "Zona" true true false 50 Text 0 0,First,#,RB_AmazoniaCentral_comZonas,Zona,0,50;ELEM_TEXT "ELEM_TEXT" true true false 254 Text 0 0,First,#,RB_AmazoniaCentral_comZonas,ELEM_TEXT,0,254;Hectares "Hectares" true true false 8 Double 0 0,First,#,RB_AmazoniaCentral_comZonas,Hectares,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,RB_AmazoniaCentral_comZonas,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,RB_AmazoniaCentral_comZonas,Shape_Area,-1,-1" #
RepairGeometry RB_AmazoniaCentral DELETE_NULL Esri
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/2.2.0'><FeatureDataset>Site</FeatureDataset><WorkspaceConnectionString>DATABASE=F:\OneDrive - Ministerio do Meio Ambiente\GEO\MXD\Dados\Reserva_da_biosfera.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>RB_AmazoniaCentral</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>ID</field_name><field_name>SOURCETHM</field_name><field_name>AREA</field_name><field_name>PERIMETER</field_name><field_name>ACRES</field_name><field_name>ELEM_TEXT</field_name><field_name>Hectares</field_name></DeleteField></workflow></operationSequence>
XToolsGP_CalculateGeometry RB_AmazoniaCentral "HECTARES Hectares_1" Unknown PROJCS['South_America_Albers_Equal_Area_Conic',GEOGCS['GCS_South_American_1969',DATUM['D_South_American_1969',SPHEROID['GRS_1967_Truncated',6378160.0,298.25]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Albers'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-60.0],PARAMETER['Standard_Parallel_1',-5.0],PARAMETER['Standard_Parallel_2',-42.0],PARAMETER['Latitude_Of_Origin',-32.0],UNIT['Meter',1.0]] Meters PLANAR
XToolsGP_CalculateGeometry RB_AmazoniaCentral "HECTARES Hectares_6" Unknown PROJCS['South_America_Albers_Equal_Area_Conic',GEOGCS['GCS_South_American_1969',DATUM['D_South_American_1969',SPHEROID['GRS_1967_Truncated',6378160.0,298.25]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Albers'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-60.0],PARAMETER['Standard_Parallel_1',-5.0],PARAMETER['Standard_Parallel_2',-42.0],PARAMETER['Latitude_Of_Origin',-32.0],UNIT['Meter',1.0]] Meters PLANAR
XToolsGP_CalculateGeometry RBAC_abrangencia_ok "HECTARES Hectares" Unknown PROJCS['South_America_Albers_Equal_Area_Conic',GEOGCS['GCS_South_American_1969',DATUM['D_South_American_1969',SPHEROID['GRS_1967_Truncated',6378160.0,298.25]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Albers'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-60.0],PARAMETER['Standard_Parallel_1',-5.0],PARAMETER['Standard_Parallel_2',-42.0],PARAMETER['Latitude_Of_Origin',-32.0],UNIT['Meter',1.0]] Meters PLANAR
ExportFeatures RBAC_Abragencia_Completa_2020 "C:\Users\BAffonso\Documents\ArcGIS\Projects\Áreas Internacionais\PostgreSQL-geodatabase-gisdbprod(gisadmin).sde\gisdbprod.gisadmin.AREAS_COM_RECONHECIMENTO_INTERNACIONAL\gisdbprod.gisadmin.RBAC_ABRANGENCIA_COMPLETA_2020" # NOT_USE_ALIAS "Id "Id" true true false 6 Long 0 6,First,#,RBAC_Abragencia_Completa_2020,Id,-1,-1;Hectares "Hectares" true true false 19 Double 0 0,First,#,RBAC_Abragencia_Completa_2020,Hectares,-1,-1" #
gisdbprod.gisadmin.RBAC_ABRANGENCIA_COMPLETA_2020
002
0.000
Server=geodatabase; Service=sde:postgresql:geodatabase; Database=gisdbprod; User=gisadmin; Version=gisadmin.QA
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/3.3.0'><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>
20240524
13591400
20240524
13591400
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.52636
RBAC Abrangência Completa 2020
Enterprise Geodatabase Feature Class
0.000
dataset
0
Simple
FALSE
0
TRUE
FALSE
gisdbprod.gisadmin.RBAC_ABRANGENCIA_COMPLETA_2020
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.
hectares
Hectares
Double
8
38
8
Id
Id
Integer
4
10
0
st_area(shape)
st_area(shape)
Double
0
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
20240524
EPSG
6.11(9.2.0)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