20250812
16273900
1.0
FALSE
PESQUISA.TERRA_poten_hidre_e_class_maxim_sensi_amb
002
Server=172.31.12.203; Service=sde:sqlserver:172.31.12.203,15010; Database=dbSIG; User=pesquisa; 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/3.1.0'><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>450445547.3910538</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>31983</WKID><LatestWKID>31983</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures TERRA_poten_hidre_e_class_maxim_sensi_amb C:\Users\sepur\AppData\Roaming\ESRI\Desktop10.8\ArcCatalog\SISURB_pesquisa.sde\PESQUISA.pesquisa_potencial_hidreletrico_ufjf\PESQUISA.TERRA_poten_hidre_e_class_maxim_sensi_amb # # # #
20250812
16275700
20250812
16275700
Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 13.1.0.41833
Classificação de sensibilidade dos trechos
Enterprise Geodatabase Feature Class
dataset
EPSG
6.11(8.1.2)
0
Simple
FALSE
0
TRUE
FALSE
PESQUISA.TERRA_poten_hidre_e_class_maxim_sensi_amb
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
fid_1
fid_1
Double
8
38
8
cotrecho
cotrecho
Double
8
38
8
elev_max
elev_max
Double
8
38
8
elev_min
elev_min
Double
8
38
8
H
H
Double
8
38
8
qmlt_anual
qmlt_anual
Double
8
38
8
q90_anual
q90_anual
Double
8
38
8
q95_anual
q95_anual
Double
8
38
8
q710_anual
q710_anual
Double
8
38
8
p_hid_qmlt
p_hid_qmlt
Double
8
38
8
p_hid_q90
p_hid_q90
Double
8
38
8
p_hid_q95
p_hid_q95
Double
8
38
8
p_hid_q710
p_hid_q710
Double
8
38
8
class_max
class_max
Double
8
38
8
cobacia
cobacia
Double
8
38
8
cocursodag
cocursodag
Double
8
38
8
noespecif
noespecif
String
254
0
0
noriocomp
noriocomp
String
254
0
0
nucomptrec
nucomptrec
Double
8
38
8
nuareacont
nuareacont
Double
8
38
8
nuareamont
nuareamont
Double
8
38
8
cocdadesag
cocdadesag
Double
8
38
8
nutrjus
nutrjus
Double
8
38
8
nuordemcda
nuordemcda
Double
8
38
8
nustrahler
nustrahler
Double
8
38
8
dedominial
dedominial
String
254
0
0
bcfederal
bcfederal
String
254
0
0
dsversao
dsversao
String
254
0
0
datverbase
datverbase
String
254
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape.STLength()
Shape.STLength()
Double
0
0
0
20250812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