20240510
08525400
1.0
FALSE
Contour raster_calc_times_100_5m C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\20240508-inundacao.gdb\manchas_inundacao_5m 10 250 1 "Contour shell" #
MultipartToSinglepart manchas_inundacao_5m C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\20240508-inundacao.gdb\manchas_inunda_MultipartToSi
Dissolve manchas_inunda_MultipartToSi C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\20240508-inundacao.gdb\manchas_inunda5m ContourMax # MULTI_PART DISSOLVE_LINES #
SimplifyPolygon manchas_inunda5m C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\20240508-inundacao.gdb\manchas_inunda_SimplifyPolyg1 "Retain critical points (Douglas-Peucker)" "2,5 Meters" "0 SquareMeters" "Do not check for topological errors" KEEP_COLLAPSED_POINTS #
CopyFeatures manchas_inunda_5_simplified C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\PostgreSQL-geodatabase-codex-smamus(smamus).sde\smamus.smamus.manchas_inunda_5_simplified # # # #
Project smamus.smamus.manchas_inunda_5_simplified C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\PostgreSQL-geodatabase-codex-smamus(smamus).sde\smamus.smamus.manchas_inunda_5_simplified_31982 PROJCS["SIRGAS_2000_UTM_Zone_22S",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",-51.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] # PROJCS["SIRGAS_2000_Transverse_Mercator",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",300000.0],PARAMETER["False_Northing",5000000.0],PARAMETER["Central_Meridian",-51.0],PARAMETER["Scale_Factor",0.999995],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]],VERTCS["Unknown_VCS",VDATUM["Unknown"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
Append mancha_inund_5_SimplifyPolyg smamus.smamus.manchas_inunda_5_simplified_31982 "Use the field map to reconcile field differences" "contourmax "Contour maximum" true false false 8 Double 8 38,First,#,C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\20240508-inundacao.gdb\mancha_inund_5_SimplifyPolyg,ContourMax,-1,-1;inpoly_fid "InPoly_FID" true true false 4 Long 0 10,First,#;maxsimptol "MaxSimpTol" true true false 8 Double 8 38,First,#;minsimptol "MinSimpTol" true true false 8 Double 8 38,First,#" # # # NOT_UPDATE_GEOMETRY
CopyMultiple "C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\PostgreSQL-geodatabase-codex-smamus(smamus).sde\smamus.smamus.manchas_inunda_5_simplified_31982 FeatureClass" C:\Users\geo\Documents\ArcGIS\Projects\20240508-inundacao\vaneska.gdb manchas_inunda_5_simplified_31982 "smamus.smamus.manchas_inunda_5_simplified_31982 FeatureClass manchas_inunda_5_simplified_31982 #"
ExportFeatures smamus.smamus.manchas_inunda_5_simplified_31982 D:\dv\smams\CHEIA\Cotas\Cotas_inunda.shp # NOT_USE_ALIAS "contourmax "Contour maximum" true true false 8 Double 0 0,First,#,smamus.smamus.manchas_inunda_5_simplified_31982,contourmax,-1,-1;inpoly_fid "InPoly_FID" true true false 4 Long 0 0,First,#,smamus.smamus.manchas_inunda_5_simplified_31982,inpoly_fid,-1,-1;maxsimptol "MaxSimpTol" true true false 8 Double 0 0,First,#,smamus.smamus.manchas_inunda_5_simplified_31982,maxsimptol,-1,-1;minsimptol "MinSimpTol" true true false 8 Double 0 0,First,#,smamus.smamus.manchas_inunda_5_simplified_31982,minsimptol,-1,-1;shape_Length "shape_Length" false true true 8 Double 0 0,First,#,smamus.smamus.manchas_inunda_5_simplified_31982,shape_Length,-1,-1;shape_Area "shape_Area" false true true 8 Double 0 0,First,#,smamus.smamus.manchas_inunda_5_simplified_31982,shape_Area,-1,-1" #
ExportFeatures Cotas_inunda C:\Users\dv\Documents\ArcGIS\Projects\MyProject7\Cotas_inunda_5_35.shp # NOT_USE_ALIAS "contourmax "contourmax" true true false 19 Double 0 0,First,#,Cotas_inunda,contourmax,-1,-1;inpoly_fid "inpoly_fid" true true false 10 Long 0 10,First,#,Cotas_inunda,inpoly_fid,-1,-1;maxsimptol "maxsimptol" true true false 19 Double 0 0,First,#,Cotas_inunda,maxsimptol,-1,-1;minsimptol "minsimptol" true true false 19 Double 0 0,First,#,Cotas_inunda,minsimptol,-1,-1;shape_Leng "shape_Leng" true true false 19 Double 0 0,First,#,Cotas_inunda,shape_Leng,-1,-1;shape_Area "shape_Area" true true false 19 Double 0 0,First,#,Cotas_inunda,shape_Area,-1,-1" #
CopyFeatures "Y:\Projetos\PM_POA_SMAMUS_IDE\Arquivos Colaborativos - Codex x Smamus\Dados recebidos - V2\Cotas_inunda_5_35.shp" C:\Users\leticia.naitzel\Documents\ArcGIS\Projects\ide_smamus\PM_POA_SMAMUS_IDE_171024.gdb\A30_FIS_Risco_Eventos_Extremos\Cotas_inunda_5_35 # # # #
CopyFeatures Cotas_inunda_5_35 C:\Users\leticia.naitzel\Documents\ArcGIS\Projects\ide_smamus\importar.gdb\Cotas_inunda_5_35 # # # #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\codex\Documents\ArcGIS\Projects\IDE\importar.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Cotas_inunda_5_35</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>inpoly_fid</field_name><field_name>maxsimptol</field_name><field_name>minsimptol</field_name></DeleteField></workflow></operationSequence>
CopyFeatures cota_inundacao_535 C:\Users\codex\Documents\ArcGIS\Projects\IDE\PostgreSQL-10-gisdb(ide).sde\gisdb.ide.A30_FIS_Risco_Eventos_Extremos\gisdb.ide.cota_inundacao_535 # # # #
gisdb.ide.cota_inundacao_535
002
Server=10.100.18.14; Service=sde:postgresql:10.100.18.14; Database=gisdb; User=ide; Version=sde.DEFAULT
ArcSDE Connection
0.000
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/3.2.0'><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>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
20241209
14591500
20241209
14591500
CONTOUR_SHELL
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.2.0.49743
cota_inundacao_535
SMAMUS
Físico
Risco e Eventos Extremos
Enterprise Geodatabase Feature Class
0.000
dataset
EPSG
6.11(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
gisdb.ide.cota_inundacao_535
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.
ContourMax
Cota de inundação (cm)
Double
8
38
8
st_area(shape)
st_area(shape)
Double
0
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
20241209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=