20210929
13172500
1.0
FALSE
SSAP_Poly
002
Projected
GCS_NAD_1983_NSRS2007
Linear Unit: Foot_US (0.304801)
NAD_1983_NSRS2007_StatePlane_Illinois_East_FIPS_1201_Ft_US
<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/2.9.0'><WKT>PROJCS["NAD_1983_NSRS2007_StatePlane_Illinois_East_FIPS_1201_Ft_US",GEOGCS["GCS_NAD_1983_NSRS2007",DATUM["D_NAD_1983_NSRS2007",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",984250.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-88.33333333333333],PARAMETER["Scale_Factor",0.999975],PARAMETER["Latitude_Of_Origin",36.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3529]]</WKT><XOrigin>-17463800</XOrigin><YOrigin>-46132600</YOrigin><XYScale>137244822.07846552</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>3529</WKID><LatestWKID>3529</LatestWKID></ProjectedCoordinateSystem>
20220221
13352100
20220221
13352100
Esri ArcGIS 12.9.0.32739
SSAP_Poly
SMC
SMC
File Geodatabase Feature Class
dataset
EPSG
8.9.3(10.0.0)
0
Simple
FALSE
0
TRUE
FALSE
SSAP_Poly
Feature Class
0
OBJECTID_1
OBJECTID_1
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.
Plan_Location_ID
Plan Location ID
String
255
0
0
Plan_ID
Plan ID
String
255
0
0
BMP_Type
BMP Type
String
255
0
0
Action
Action
String
600
0
0
Quantity_
Quantity
Double
8
0
0
Quantity_Unit
Quantity Unit
String
255
0
0
Area_Benefited
Area Benefited
Double
8
0
0
Area_Benefited_Unit
Area Benefited Unit
String
255
0
0
Priority_
Priority
String
255
0
0
Time_Frame
Time Frame
String
255
0
0
Plan_Goals
Plan Goals Addressed
String
255
0
0
Lead_Partners
Lead Partners
String
255
0
0
Supporting_Partners
Supporting Partners
String
255
0
0
Estimated_Cost
Estimated Cost
Double
8
0
0
N_Red
Nitrogen Reduction (lb/yr)
Double
8
0
0
P_Red
Phosphorus Reduction (lb/yr)
Double
8
0
0
Sed_Red
Sediment Reduction (lb/yr)
Double
8
0
0
Cl_Red
Chloride Reduction (lb/yr)
Double
8
0
0
Bact_Red
Bacteria Reduction (billion CFU/yr)
Double
8
0
0
Subwatershed_
Subwatershed
String
255
0
0
Jurisdiction
Jurisdiction
String
255
0
0
Critical_Area
In Critical Area?
String
255
0
0
Prev_Plan
In Previous Plan?
String
255
0
0
Cost_Text
Cost Text
String
350
0
0
Notes
Notes
String
800
0
0
ASComments
AS Comments
String
1000
0
0
Wetland_ID
Wetland_ID
Integer
4
0
0
WL_WB
WL_WB
String
4
0
0
ACRES_CALC
ACRES_CALC
Single
4
0
0
NWI_Code
NWI_Code
String
20
0
0
Landscape_Position_Label
Landscape_Position_Label
String
43
0
0
Landform_Label
Landform_Label
String
33
0
0
Water_Flow_Path_Label
Water_Flow_Path_Label
String
25
0
0
Waterbody_Label
Waterbody_Label
String
5
0
0
LLWW_Label
LLWW_Label
String
100
0
0
FLOOD_WATER_STORAGE_
FLOOD_WATER_STORAGE
String
10
0
0
BASEFLOW_MAINT_
BASEFLOW_MAINT
String
10
0
0
NATIVE_FISH_HAB_
Native Fish Habitat
String
10
0
0
WATERFOWL_HAB_
Waterfowl Habitat
String
10
0
0
WTL_BIRD_HAB_
Other Wetland-Dependent Bird Habitat
String
10
0
0
WOOD_AMPH_HAB_
Woodland Amphibian Habitat
String
10
0
0
UNIQUE_WTL_RES
Unique Wetland Resources
String
10
0
0
STREAM_SHADING_
Stream Shading
String
10
0
0
WILDLF_MOVE_COR_
Wildlife Movement Corridor
String
10
0
0
NUTRIENT_TRANS_
Nutrient Transformation (P-Focus)
String
10
0
0
SED_RETENTION_
Sediment and Other Particulate Retention
String
10
0
0
STABILIZATION
Shoreline/Streambank Stabilization
String
10
0
0
CARBON_SEQ
Carbon Sequestration
String
10
0
0
CalcAcre
CalcAcre
Single
4
0
0
FP_PARK_OS
FP_PARK_OS
String
10
0
0
Floodplain
Floodplain
String
10
0
0
Size_Cat_Ac
Size_Cat_Ac
String
10
0
0
Priority
Priority
String
2
0
0
uniqueID
uniqueID
String
255
0
0
OBJECTID
OBJECTID
Integer
4
0
0
Acres
Acres
Double
8
0
0
Subwatershed
Subwatershed
String
255
0
0
uniqueID_1
uniqueID
String
255
0
0
Source
Source
String
255
0
0
CatchmentCode
CatchmentCode
String
255
0
0
CatchmentNo
CatchmentNo
Double
8
0
0
latitude
latitude
Double
8
0
0
TDS_Hotspot
TDS_Hotspot
String
512
0
0
TSS_Hotspot
TSS_Hotspot
String
512
0
0
TN_Hotspot
TN_Hotspot
String
512
0
0
TP_Hotspot
TP_Hotspot
String
512
0
0
FC_Hotspot
FC_Hotspot
String
512
0
0
uniqueID_12
uniqueID
String
8000
0
0
TSS
TSS
Double
8
0
0
TP
TP
Double
8
0
0
TDS
TDS
Double
8
0
0
TN
TN
Double
8
0
0
FECAL_COLIFORM
FECAL COLIFORM
Double
8
0
0
Shape_Length_1
Shape_Length
Double
8
0
0
Shape_Area_1
Shape_Area
Double
8
0
0
N_Redu
Nitrogen Reduction (lb/yr)
Double
8
0
0
P_Redu
Phosphorus Reduction (lb/yr)
Double
8
0
0
Sed_Redu
Sediment Reduction (lb/yr)
Double
8
0
0
Cl_Redu
Chloride Reduction (lb/yr)
Double
8
0
0
Bact_Redu
Bacteria Reduction (billion CFU/yr)
Double
8
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.
20220221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