20201001
07520500
1.0
FALSE
SewerSheet_Grid
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_III_FIPS_0403_Feet
<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/2.5.0'><WKT>PROJCS["NAD_1983_StatePlane_California_III_FIPS_0403_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",37.06666666666667],PARAMETER["Standard_Parallel_2",38.43333333333333],PARAMETER["Latitude_Of_Origin",36.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2227]]</WKT><XOrigin>-115860600</XOrigin><YOrigin>-93269500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102643</WKID><LatestWKID>2227</LatestWKID></ProjectedCoordinateSystem>
20201002
09000200
20201002
09000200
Esri ArcGIS 12.5.1.22081
SewerSheet_Grid
sewer sheets
This is a grid of available sewer sheets. It is based on the sewer grid layer, but modified for clarity.
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
SewerSheet_Grid
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.
GRID_NO
GRID_NO
String
5
0
0
KEY
KEY
String
5
0
0
GLOBALID
GLOBALID
GlobalID
38
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.
20201002
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvJd20
TFJLiJGHUM4BqxWNc3UkUtwiW08n7wHMTquflHHJouuomaH2+z/5+of+/gqSOaKZSYpFcA4JUg1z
39p+VNfmW3nUPcKcpIoI/doMdfbNX7TUTI1zJ9nZVDKMl1x90e9VZdBJvqa9FUTf4eRWt2HlhSxL
Ljnp3qWG482RkMZRgqtyQcg5x/I0rDuWaKKKQwooooAKKKKACiiigAooooAKKKKACiiigAooooAK
KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArm9QQyXk264kWPzACiKCfujnpkV0lczqPz
308Is/OLOMsQMfdHGcis6nT/AIP6AEViZpLt1vrjd5wGFaIZGxeeVP0qS2smt5bpItTuWAkXgmHn
5R6pWXLEwaf/AIl4dFkGFYLlflGBwfpRPIjtOPsKnJX5diEjjpjP/wCulCtZWt+H/AJcbmwkMovb
opqlwzbI8Y8kZ6/7FXbFGS7m33Ek7GKM5fbkcvx8oArm3SKRZQunk/KrBTtXH5Gt3RXWRpXW3MGU
TKlQMnLc8Vftubp+H/ABRsbFFFFUUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
AFFFFABRRRQAUUUUAFFFFABRRXJzNFHdSMIS7PM4YmMtn5j37VLlYDrKK4xJrfESyQfN5zD7vq3H
bn0xTZnjEq4tgT5rbdykfxelQqt7eYHa1m3OlrcTO/nModgxAHfAHX8K5aWZEZfNgHm+Z8o27QOm
f17VI08SzhDaB5BJnaQRgYH/ANfijmukA/UbedL6ZElZm3AgkfKTtTrg/wCcVUm3I0weeNACC5fK
DOPUUlxcwtO+63iMDOAW2cjAHA49R7VFcLB5u9oNsp27U247DPH+etZ3ei831fmNGjBG07zJ555K
qvyHDdMHI5Fa9gk8Ms8ayozJFFkIuecsMDJ9qwCloquZbX5Rt2KVI7e1Fy1r9oIlt48bFHlsmPmy
ehGD/jThKzXq+r8xM7GCSU3DxyEHCI4+XBGS3HX2q3XN6Xe21s9w7QeSpjjJ8uM4zlvQfrW3b3cN
ySI9+QA3zKRwfrWykpCRZoooqhhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABWNLpM8jkpeCMF2bAi9Tnn5vetA3cOSNzHBxwhP9Ki/tOz3BfPGTkAYPOOvalK
y3FozmZEuYGEaXcYHmujErgsQ/Pf/P60zZc4XZdIspkO1SpG75uhOfb61NM1il20ztKTJLIMByq8
uefrVdmt44gsjyqTKV3KzDHJrkXRX6d/QtWH3QlUyDzogyy5/wBWQMjt16VFcxS+bOxu1jbeCVVD
hjtz65xjNNuHgJeLdMqyP/rQ5+Xj0NIzWsM+JXkc+Z8sauQp4HXPX9KuGijr+JLsLNZzfvUSYM/m
jIVOc4GTnPuBipCk0YeJbjYxZQpZPYY53HA7d60LZbb7RLJE0pUSAcNJjG1c9O/J61W1JLBBPJuk
X5xkHdk8A5+b34z70Juy9X19Q0K8n2kM7NdlHUA/KnDHPTr/AJ/miW0znKXCDbGnzBM/3iB19uvv
Ud59nhBAkmMYRV3chu4z6ZH+RSSPFGHxLJwgBLM2c5Ofy4744qZSaimn1fX1Gkmxds6SmX7ac7Bl
gvHcDdk9eP17V0miPJJl5JUkzCuGUdRk9Tk5Nc0zQwxHeZm/dKMsxyCSc/0p6TiCDcs1ygMSkv5h
B9cE/pVU5Jper6+oNHe0Vi6NOZfL+aY7oixErE9xjr7GtquhO4gooopgFFFFABRRRQAUUUUAFFFF
ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP/a8zTJHFbRuW5OZsFR6kYqKC/tWSDfqMWTGGkBuc
MDjnj61k28kIeBjdSAsnzATDHTv3rOo7bMItPctx6vN9pSAWkbMjMQ32gjGSeoxzVB7ydbiMbIju
lYld4H8THuORUiJZLPHK1ywdiwbE2B1PWqrNbpcRu0z4LuMLL2zwT781zym5W1Likh3+lNKFYIlu
sjA/OArEt+Yp73Fx5yKIlKmViR5ncsefwyP8mqzC2do0Mqk+Yx27+nJAP4ZBpkzRSTxc7QZC28tn
Byce/pzRB+7FN9O68hE8klx9vyVCqHJJMgwSQOORmq1zFcT37KjpGS43P5mR0HHNOuDDM4+cDMmQ
XkHGPY9/1pH+zpJvZyxVhtAfIYYHv+tXTnbl1/L/ACFI6XSbSZbSaJljk/fZJ81l52L6Cp7nTbq4
mkl3QoXIPDE4wMelY0WpeVG4Wd4t0gOfMB2javJ9e9bVjqdqqyLLfRHDAAvIOeBVqakrMS0MjUYb
m3uJItiMrIu5w+NnXnp9TVK9uJUnUBEZTEoDh8464IyPr2rZ1Q2NzLIzXC4wo+WYL6+pxWLrEVrD
MUgkDLsXb84wDls8ng//AF6zbUba9fLzKTuJMJ5pGKovCLucP90ZPPT3p8szWs24xxMGVVcrJtAG
evI9vrxUE0sMBJR2cGMBjvA5yfX8KkuIYSwUTGYqgyN4Hftk9s1EZ6rXS/8AXQbWh1GnPK0yCTYc
RHDK2c8j2Fa1cvaTWlvMqtfBVELYZ5tozkYFatlcxy3MaxXKzAxMzhJd4ByuOfxNdVO1iG9TTooo
qwCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEJwM1TS8kkKBYVy6b1Bk5x+VXT
yMVVW1KIqLczBVGAPl4H5U1YTuc3bzXBS0kitwwMag8jJGBjk9O9SQi4i+yzmCPYIh82QTgj1xkV
rx6NbRCMI8o8tQq8jgAY9PSlW3towii8YeWu1RvXgflWEY1L6/1sPSxzZlmyHaNXUOcKCAV+bk89
6jgtriS5iZUSUBmwmMlDnrnHA/wq2LaAXiubzAYsqgBeOe5xxVbzWt5Y9t4QpZl4VW7ken+eayjO
UWlJ9PLyKsmtCo8z/anhKIkoZlDkhmzvJPT/ADxTwXVoyRlhISGyDjByf5dauRW1tIyvLcOshkcY
UDGNxGT2HrVcxRJKB9qKqsrBSoBJXPrjK/qKiL5VF36eQ076CXEdwRJPGiALJuwTu54zjj27VHP9
pjheRYlDKw4bkngDA6eoq7GkL7pJrxvL8zlcKTnHXPao5zG1zve7Zl80YVACc4HOf06Yqo1NI/8A
AFbUiEkpkZTErBpF3KxBA4B6kY7Co7i4YTs3lIAWADud2Gxxj/Pep5grGQC4bYJhuUgHcMDn/I/D
rSMI8FlupEyVGVA6Y6f0ppvT1fbzGmS/b5rcSZjzwCBt3g9ef19abfyXF7cEyrEspiThh9T0Of8A
6xpL2O3fzA0pK7V7K+DyOmOe9RTbCMvfbRsTdiMEvyeMf560Kdra9X28yWiWL7UgleSKFyY0LZAI
PJxjtzzWhFeSWxd2tcM0Sgr5oQ8E856D/Pes6XY5kYXbqjLGSW2knk8EflVgm1ljkMs7FBEGAYqW
PXjkfe7etNT/AD8gtoW553vDblYVCrA2A0u7PK9eOegq5pUk0k8ZmjCERPjkHPK1gIEtlRftbKvl
kuyqvHTOB/hWgl3FbTQNFeOITG4zleOV9qftN/Xy8gsdVRWPZXYMyeZe+arox+fauMEY6fjWok0U
hwsiMfQMDW8ZcyuhElFFFUAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVjxW0
6GLdbufLGMKyYbjrzzWxRSaurAc9Fp04ws1qHjyW2kqfm3Ejv6Usen3IlVngXYrswXapPJz1zXQU
VPJre4XZxktrKsg2WbMfPfnI4+Yjsf58VXkt5ioElq7RM5Dqi5OcnoQeOa6ptLTzjKJpFbLEcA4y
ST296oppm5hKs0hYSuuQEG0biDnPXvWPsZJLl/QpT7mPLHtiYNbSNErfvFAViwx0A705wzEyR2TO
fMAAGDgbQeSDyO//AOutFNKMvngzyttuMYXavQA5/wDrVTu7aSNriJLgsEmULlR12g54/wA8VDjO
CV/0KTUnoMlaTzp9tpJIhkAdQoY42rxx/kUlxAxLg2pIRl3II1bOe2M8c/Wm7pHiljaZlJkAwoxz
tXnjsKZcM7NgzHezL8xXgHA6+1Zxk9Ld32Hyheb7q5BSAiMqMxbVLEf0PSnncwkX7MFzEhCbQQv3
j0z/AJ9qj2s0w3y4nJUBtoIBPOce3+feaYbJZfNlydijO1eSCwB49MfWrV7K19/IVtR8ztcmYraE
BYB8rqvGC3JGf/r1HJaySSqXteich9vBz9f84oAkjSXfPkeUm0qAAcltoNSvuIPmXMhAiGWULnGe
36CiKfnu+wrlRfOuWj8yyRj5bYVkAB6Y4NWYlcyxiS0YYiYbWVcHBXnntjHelhLoYyLjjY+Sy7eM
jj+XNTxQtKbcPcOVeKTHAGASvH60bd9128geo+3umiktxJYyBkidNqKq55XG0E9ulXYb0g2zizuc
FGPz7Nx6ehqksbAopuGZVVwMIBgfKcDP1qERyhosXrD75U7enTt3rZTavvuTY6GK6MrIGgli3ZA3
7evXsT6VcrE09GQWYM7SDJ6oF52nn1rbrWLuIKKKKoAooooAKKKKACiiigAooooAKKKKACiiigAo
oooAKKKKACiiigAooooAKga1t3Ys0ETMepKAk1PRQBX+x2v/AD7w/wDfArMubJd86rYI4dwQdoAx
gd/rW3RUzjzbgtDh76DyDMGsxjzACMcKu0cZFNnECRkG1AiJHLjBAwPfPf1649a1dUtzPdTgSRoz
SqBuUk/cXuPrVC5gni8xftEQKsCC4K5OO2DXFKKXTq+xpEXfbBXdrdGj+UcxjBB9weDS7opPO+z2
KshhQRgx5AHPJOc5Pr/kse3ncTASQqq7WZiWAAJ6/qfypzRz2/nvHPEo2I3mMpUFcsM8HvjPPrQk
3FaaX8gsr+ZHiBVnEViCuxQFkH3Tluvepra3iLoFsyvyZC7Qeee57Z/pRcrceZIN8B/dx5JQ8jLY
79f/AK1HlSu0u2VArRjkqRkHIznOaWiW3XyCzGOUYIINMGAjcHgduR1J/wDr0Wi27yKn2RlzG2VC
gAnKngnt2z/LNOVHby18+PIjIzsOBgqOufX6U+SGbfGPOjOImJbZwPu575/H2ote7t1XbyAlijgj
ERTT8MEcsrKCGI2+vNCQW06QA6fhX3EhOhII6EkHtURM0cUDx3MMjFJMMVOARjPJPt/Op4Xurlbb
y5IiSjYIUsOg7k80ONrq3XyAdYTLHNCZLIxTK7K+xAB0bpz/AJxW1DfxyyiMRyKSdoLLgE4J/oaw
pBLELaUyRvtJIcR5zwc98nirWniUTQbpopE8w42A5+63c9q3hKS0S6+RLRv0UUV0khRRRQAUUUUA
FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEElpbysXkhRmPUkViajp+64
cR25CNj5kU5HHbHeuiorOdOMtxp2OKurZIBIrwttGzlw67s5HJA61OHsoBctLC2wRJgMjDklhycc
dRWzdw3ElxOYZAnyIDhCW79Kxbv7RaXMyKy7pIYyGAIIyzcc5weCa53S5GvX/Md+YM6fAsjeUSjQ
IVyjYySxPOM46AUmbEKWSBgnk7jmNj6nOSOnuabObsylXlSMiJAzde7cehPXmll+1Is37wf6pf3g
yp69eOvr6Uly2269vMOViIsAaHyYHYeU2AUb5jxxkjNRwGzLRlI5CgR2ZSrE5+XAP+e9TzTyeasj
ukbtE3I3Dng4/nz7UOLnzY/MZA3lSA/KTxkdu5ORWUra2XVdPQtJ9SHT3srh0IiZxtdiAjEE8fpU
9u9qrRlIGdQz7gVcntwOO3H+esNr9sYjcyLLscqTnOOME9KmtnuZzbbyjsVY/Nzjoe3XtWiV020t
+3oS1YSBrOaaP90zAysZF2M2ODwOP8/hT1ktBfRssRB8wh1CMT91vb1x09KbELsXccbTo7LIfm+9
2PB/z3p4aaOO3EkiljIxBJ3H7rdx/nmqaWvqv08xFywnt5biN4QwZpSGwrY+6TjJ/lW/XOaXczSv
bJLnIlb7ytkjBwcn6iujroh1JYUUUVoAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABWVcyxi4nRpJFkG3ZjeQBj0WtWqMsExkkKJG6OQeZWQjAx2BpoTMwvaPfXO17j
IVNuWmA756Vn37wJdzFDOQLdD9+QHdl+7dv8+ta7i8Fzcn7NA6MiAj7Q4PGfRKpXMd5cXczGGGNh
bx4AnJ4y+OSo5/zmpxHwf0/wFC3MYlw4aEsklwWVUOfMIZuWzyaS5aaS1LW7zAlPvZbOOeM/XAq7
PPcwE74QrtEpwJs92xzjHNIupPFEZBGqbo8YM49T3IxnP5fnXHTdkrxVrvo+7NWuzILfcwzILhW8
okDLZ6jH6UQvC0UTL9pZgr5DSFnJypAzx2zVubVJWEW63WN1hIOyTnGR6L2x71Tiv3j8otEFJV1B
8/HUjBzjrwB+VEoOTbUeq6egrpaMhMhaBPL85iARhpGz25zj0Pb/AOvU8E8DWMWyWdWXcreWzZB4
OPShrqcNGXgQYU5xJkEepIHsPw96dFNPbxxSSQrkbmA83nHGOQK1UNPh6rp6CbVx8Fwsqx4FwjAk
MXZycgMOo4z/AI0sSW4SBlacAOwLbzk/Ke/Y9qkt76SXywYI2/eMfmmzk7T7cdadvnkAURLHGZiy
nzwQPlbp8vAxWNRNN3VtV0fkNWLeneQdQgKSSNIJCG3OzAfK3HP4V09c1p0c/wBrhd4o1QyH5hJu
LHa3PAFdLW+Hd4thJWYUUUVuSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF
FABRRRQAUUUUAZV15Yu5i115L7F2gy7AetYeozLHfsEvdwMEe4GRWDHc+Rk+n9a7GsTU4ZJL12jj
jJWKP53x8vzNU1buOgJJO7OX1IQ3DDE4UbU+Ripz1+X044qvM0TQqrSNs2hUXIBGM8fp+tb08MqX
DF4U80RI4bIPduR7mnta3GoklYEEgj4MuMqckZx2rli5K0fPs/PzLsrXOdmaKW3XzJAPl+6TnPTj
6mt7S9OsbuURnDII2IVX6fMMZxU0uh3UroWhgbCkEtg8+taenWlzbyKZ9gCoVG09ckf4VtFS/H/L
zJlYDoFgQAUfAGAN5xis3WtNhggiETOuSRy2QB6Yrp6K1sTY89aALFEEDISecEcHnt/nFXrCGHFp
HNL5aFyJPmC/wNz+JrtKKTjfcLGLbJCs9sEuEdxIcIk24Y2nnFbVFFVZLYYUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZl3cCOWXdd+SEVcLlBnOf7wN
U1Zp7+bytRlwIImGwxc5Z+5U9MUUVtFaP0M3uVL5CLuXfdyy/uEOWWNiDl+MBcHH9etaOkB/OlLz
tMxjU5YAY5PYdKKK4Gv3puvgNmiiiukgKKKKACiiigAooooAKKKKACiiigD/2Q==