20221118
10362300
1.0
FALSE
CalculateField "Bacias Hidrográficas" URGs_Propo "Baixo Uruguai - Compartilhadas" VB #
CalculateField "Bacias Hidrográficas" URGs_Propo "Médio Uruguai"
VB #
CalculateField "Bacias Hidrográficas" URGs_Propo "Alto Uruguai"
VB #
CalculateField "Bacias Hidrográficas" URGs_Propo "Mirim-São Gonçalo"
VB #
CalculateField "Bacias Hidrográficas" URGs_Propo "Camaquã"
VB #
CalculateField "Bacias Hidrográficas" URGs_Propo "Litoral Médio"
VB #
CalculateField "Bacias Hidrográficas" URGs_Propo "Litoral Norte"
VB #
CalculateField "Bacias Hidrográficas" URGs_Propo "Guaiba"
VB #
CalculateField "Bacias Hidrográficas RS" GestcompSC "Sim" VB #
FeatureClassToFeatureClass S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\BD_DRH.gdb\Limites bacias_hidrograficas # "nome "nome" true true false 80 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,nome,-1,-1;area "area" true true false 10 Long 0 10 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,area,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,Shape_Area,-1,-1;Codigo "Codigo" true true false 8 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,Codigo,-1,-1;Regiao "Regiao" true true false 30 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,Regiao,-1,-1;Status_planos "Status_planos" true true false 50 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,Status_pla,-1,-1;Proc_andam "Proc_andam" true true false 50 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,Proc_andam,-1,-1;Num_Procomites "Num_Procomites" true true false 50 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,N_procomit,-1,-1;Vazao_Referencia "Vazao_Referencia" true true false 50 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,Qref,-1,-1;Maximo_outorgavel "Maximo_outorgavel" true true false 50 Text 0 0 ,First,#,S:\SETORES\DIPLA\06_CARTOGRAFIA\07_Produtos\63_IEDE\bacias_hidrograficas.shp,max_out,-1,-1" #
CopyFeatures "U:\IEDE\1.1_Parceiros IEDE RS\SEMA\DRH\BD_DRH_SEMA\BD_DRH.gdb\Limites\bacias_hidrograficas" "U:\IEDE\1.1_Parceiros IEDE RS\Projeto_IEDE_RS\gisdb.pgsql-geo.procergs.reders.sde\gisdb.gisadmin.sema_DRH\gisdb.gisadmin.bacias_hidrograficas" # # # #
Rename "U:\IEDE\1.1_Parceiros IEDE RS\Projeto_IEDE_RS\gisdb.pgsql-geo.procergs.reders.sde\gisdb.gisadmin.sema_DRH\gisdb.gisadmin.bacias_hidrograficas" "U:\IEDE\1.1_Parceiros IEDE RS\Projeto_IEDE_RS\gisdb.pgsql-geo.procergs.reders.sde\gisdb.gisadmin.sema_DRH\gisdb.gisadmin.limites_bacias_hidrograficas" FeatureClass
Dissolve gisdb.gisadmin.limites_bacias_hidrograficas C:\Users\isabel-rekowsky\Documents\ArcGIS\Projects\MyProject2\MyProject2.gdb\reg_hidrog regiao # MULTI_PART DISSOLVE_LINES #
CopyFeatures limite_regioes_hidrograficas "C:\Users\isabel-rekowsky\AppData\Roaming\Esri\ArcGISPro\Favorites\PostgreSQL-gisdb-gisdb(gisadmin) (1).sde\gisdb.gisadmin.sema_DRH\gisdb.gisadmin.limite_regioes_hidrograficas" # # # #
gisdb.gisadmin.limite_regioes_hidrograficas
002
-57.648682
-49.691534
-33.751082
-27.082302
1
9.400
Server=gisdb.pgsql-geo.procergs.reders; Service=sde:postgresql:gisdb.pgsql-geo.procergs.reders; Database=gisdb; User=gisadmin; 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/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>8.98315284119521e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
20240926
10193500
20240926
10272400
150000000
5000
ISO19139
Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.3.0.52636
limite_regioes_hidrograficas
1
-57.648682
-49.691534
-27.082302
-33.751082
<div style='text-align:Left;'><div><div><p><span>Bacias Hidrográficas do RS</span></p></div></div></div>
DIPLA/DRHS/SEMA
Bacia Hidrográfica
Limite
sema
drh
Regiões Hidrográficas do RS
Enterprise Geodatabase Feature Class
9.400
dataset
EPSG
6.11(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
gisdb.gisadmin.limite_regioes_hidrograficas
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.
Regiao
Regiao
String
30
0
0
st_area(shape)
st_area(shape)
Double
0
0
0
st_perimeter(shape)
st_perimeter(shape)
Double
0
0
0
20240926
external
16b1e04d265fdbdb4acf90fb056da1e059a09686
Departamento de Gestão de Recursos Hídricos e Saneamento/SEMA/RS
Secretaria do Meio Ambiente e Infraestrutura/RS
dipla-drh@sema.rs.gov.br
BR
True
Departamento de Gestão de Recursos Hídricos e Saneamento/SEMA/RS
Arquivo vetorial de polígonos, contendo o Limite das Regiões Hidrográficas do Estado do RS (BCRS25 VERSÃO 1.0 2018 - SEMA/FEPAM). Essa base foi obtida através da dissolução da base de Bacias Hidrográficas com base na coluna de Região.
1D682F4B-F90E-42A5-BC7E-EE51A6D83F81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