20260505
16424700
1.0
FALSE
OnehundreadftPeribuffer
002
0.000
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/3.6.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20260511
09363500
20260511
09363500
Esri ArcGIS 13.6.3.59530
OnehundreadftPeribuffer
environment
natural resouces
planning
One hundred feet buffers from USGS Perennial Stream
File Geodatabase Feature Class
0.000
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
OnehundreadftPeribuffer
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
permanent_
permanent_
String
40
0
0
fdate
fdate
Date
8
0
0
resolution
resolution
Integer
4
0
0
gnis_id
gnis_id
String
10
0
0
gnis_name
gnis_name
String
65
0
0
lengthkm
lengthkm
Double
8
0
0
reachcode
reachcode
String
14
0
0
flowdir
flowdir
Integer
4
0
0
wbarea_per
wbarea_per
String
40
0
0
ftype
ftype
Integer
4
0
0
fcode
fcode
Integer
4
0
0
mainpath
mainpath
Integer
4
0
0
innetwork
innetwork
Integer
4
0
0
visibility
visibility
Integer
4
0
0
nhdplusid
nhdplusid
Double
8
0
0
vpuid
vpuid
String
8
0
0
streamleve
streamleve
Integer
4
0
0
streamorde
streamorde
Integer
4
0
0
streamcalc
streamcalc
Integer
4
0
0
fromnode
fromnode
Double
8
0
0
tonode
tonode
Double
8
0
0
hydroseq
hydroseq
Double
8
0
0
levelpathi
levelpathi
Double
8
0
0
pathlength
pathlength
Double
8
0
0
terminalpa
terminalpa
Double
8
0
0
arbolatesu
arbolatesu
Double
8
0
0
divergence
divergence
Integer
4
0
0
startflag
startflag
Integer
4
0
0
terminalfl
terminalfl
Integer
4
0
0
uplevelpat
uplevelpat
Double
8
0
0
uphydroseq
uphydroseq
Double
8
0
0
dnlevel
dnlevel
Integer
4
0
0
dnlevelpat
dnlevelpat
Double
8
0
0
dnhydroseq
dnhydroseq
Double
8
0
0
dnminorhyd
dnminorhyd
Double
8
0
0
dndraincou
dndraincou
Integer
4
0
0
frommeas
frommeas
Double
8
0
0
tomeas
tomeas
Double
8
0
0
rtndiv
rtndiv
Integer
4
0
0
thinner
thinner
Integer
4
0
0
vpuin
vpuin
Integer
4
0
0
vpuout
vpuout
Integer
4
0
0
areasqkm
areasqkm
Double
8
0
0
totdasqkm
totdasqkm
Double
8
0
0
divdasqkm
divdasqkm
Double
8
0
0
maxelevraw
maxelevraw
Double
8
0
0
minelevraw
minelevraw
Double
8
0
0
maxelevsmo
maxelevsmo
Double
8
0
0
minelevsmo
minelevsmo
Double
8
0
0
slope
slope
Double
8
0
0
slopelenkm
slopelenkm
Double
8
0
0
elevfixed
elevfixed
Integer
4
0
0
hwtype
hwtype
Integer
4
0
0
hwnodesqkm
hwnodesqkm
Double
8
0
0
statusflag
statusflag
String
1
0
0
qama
qama
Double
8
0
0
vama
vama
Double
8
0
0
qincrama
qincrama
Double
8
0
0
qbma
qbma
Double
8
0
0
vbma
vbma
Double
8
0
0
qincrbma
qincrbma
Double
8
0
0
qcma
qcma
Double
8
0
0
vcma
vcma
Double
8
0
0
qincrcma
qincrcma
Double
8
0
0
qdma
qdma
Double
8
0
0
vdma
vdma
Double
8
0
0
qincrdma
qincrdma
Double
8
0
0
qema
qema
Double
8
0
0
vema
vema
Double
8
0
0
qincrema
qincrema
Double
8
0
0
qfma
qfma
Double
8
0
0
qincrfma
qincrfma
Double
8
0
0
arqnavma
arqnavma
Double
8
0
0
petma
petma
Double
8
0
0
qlossma
qlossma
Double
8
0
0
qgadjma
qgadjma
Double
8
0
0
qgnavma
qgnavma
Double
8
0
0
gageadjma
gageadjma
Integer
4
0
0
avgqadjma
avgqadjma
Double
8
0
0
gageidma
gageidma
String
16
0
0
gageqma
gageqma
Double
8
0
0
GlobalID
GlobalID
String
38
0
0
Shape__Len
Shape__Len
Double
8
0
0
STRTYPE
STRTYPE
String
254
0
0
BUFF_DIST
BUFF_DIST
Double
8
0
0
ORIG_FID
ORIG_FID
Integer
4
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20260511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