FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION
VERSION 2007

TITLE: SUWANNEE RIVER WATER MANAGEMENT DISTRICT LAND USE AND COVER 2004

Geodataset Name:       LU_SRWMD_2004
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polygon
Feature Count:         166680
GENERAL DESCRIPTION:
This dataset, created by the Florida Department of Environmental Protection's (FDEP) Bureau of Watershed Restoration, is an inventory of Land use - Land Cover classified in the State of Florida's Suwannee River Water Management District (SRWMD) and is based on 2004 Digital Ortho Quarter Quad Aerial Imagery program Color Infrared and True color photography. Classifications are provided for level 1, 2, 3 and a few level 4 (indicated in Land use and Secondary Code fields) land uses. Please note: The field names in the original attribute table from FDEP/SRWMD were renamed by the GeoPlan Center. The original field names from FDEP/SRWMD are listed in the Process Steps (Data Quality Section) and in the Attribute Definitions (Entity and Attribute Information section). All Water Management District land use datasets distributed via FGDL will contain these standardized field names, for ease of using land use data at the statewide extent.
DATA SOURCE(S):                    Florida Department of Environmental Protection, Bureau of Watershed Restoration
SCALE OF ORIGINAL SOURCE MAPS:     N/A
DATE OF AUTOMATION OF SOURCE:      20040301
GEODATASET EXTENT:                 Alachua County (Partial Coverage), Baker County (Partial Coverage), 
Bradford County, Columbia County, Dixie County, Gilchrist County, Hamilton County, 
Jefferson County (Partial Coverage), Lafayette County, Levy County, Madison County, 
Suwannee County, Taylor County, and Union County.

FEATURE ATTRIBUTE TABLES:

Datafile Name: LU_SRWMD_2004.DBF
ITEM NAME WIDTH TYPE N. DECIMAL DEGREES
OBJECTID
4 OID ---
FLUCCS
4 Number ---
OTHER
6 String ---
LANDUSE_DE
85 String ---
SECONDARY2
85 String ---
SOURCE
6 String ---
SOURCE2
13 String ---
FLUCCS_L1
4 Number ---
LEVEL1
50 String ---
FLUCCS_L2
4 Number ---
LEVEL2
75 String ---
FLUCCS_L3
4 Number ---
LEVEL3
100 String ---
FLUCCSCOMP
4 Number ---
ACRES
19 Number 11
DESCRIPT
125 String ---
FGDLAQDATE
8 Date ---
AUTOID
9 Number ---
SHAPE
4 Geometry ---
SHAPE.AREA
0 Double ---
SHAPE.LEN
0 Double ---

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item
Item Description
OBJECTID Internal feature number.

FLUCCS The land use and land cover classification code as defined in the Florida DOT's FLUCCS classification system. The following represents the original field from the source Water Management District layer.
SRWMD = LANDUSE_CODE - The primary classification type assignment. This may be either a land use classification or a land cover classification in the case that keys to identification indicate a physiographic feature. SRWMD uses an adopted classification scheme, for more information on the adopted classification scheme please the Attribute Overview Description Section.


OTHER The following represents the original field from the source Water Management District Layer.
SRWMD = SECONDARY_CODE - A secondary classification assigned to account for the fact that any given polygon may have more than one use or a use and a physiographic cover.


LANDUSE_DE A brief definition of the class code: description of the primary land use or land cover

SECONDARY2 A brief definition of the class code: description of the secondary land use or land cover.

SOURCE Water Management District of Coverage/Origin.

SOURCE2 Agency of Origin: Florida Department of Environmental Protection's Bureau of Watershed Restoration.

FLUCCS_L1 The highest level (level 1) designation in a hierarchical coding scheme containing 4 levels. The following represents the original field from the source Water Management District Layer.
SRWMD = LEVEL_1_LANDUSE


LEVEL1 Level 1 land use description, based on the FDOT classification schema.

FLUCCS_L2 The second highest level (level 2) designation in a hierarchical coding scheme containing 4 levels. The following represents the original field from the source Water Management District Layer.
SRWMD = LEVEL_2_LANDUSE


LEVEL2 Level 2 land use description, based on the FDOT classification schema.

FLUCCS_L3 The third highest level (level 3) designation in a hierarchical coding scheme containing 4 levels. The following represents the original field from the source Water Management District Layer.
SRWMD = LEVEL_3_LANDUSE


LEVEL3 Level 3 land use description, based on the FDOT classification schema. There is a possibility that the FDOT Level 3 description does not match that of the Water Management District, for those occurrences this discrepancy has been identified in the FLUCCSCOMP field.

FLUCCSCOMP This field represents a comparision between the dataset's FLUCCS code description and the FDOT FLUCCS code description. Where these two descriptions differed a number one was inserted.

ACRES Number of Acres.

DESCRIPT Based on the field LANDUSE_DE, however the classification numbers were removed from the front of each record.

FGDLAQDATE The date FGDL acquired the data from the Source.

AUTOID GeoPlan Center feature identification number.

SHAPE Feature geometry.

SHAPE.AREA Area in meters

SHAPE.LEN Perimeter in meters

The adopted classification scheme has resulted from the following process:

1.  Potential classification types originally taken from Florida Department of 
Transportations "Florida Land use, cover and forms classification system" 

2.  Conformity with SJRWMD's classification system was sought whenever 
possible out of an interest in creating a data layer that would result in a product 
that was seamless in terms of its geometry and attribution with this contingent 
area.

3.  Bureau of Watershed Restoration, Watershed Assessment Section (WAS) 
Managers reviewed a preliminary list for the purpose of identifying classification 
types that contributed to sources of pollution and those that allowed them to 
identify natural conditions that may have an effect on water quality impairment.  
This led to the removal of some classification types from the preliminary list to form 
a  WAS wants list.

4.  Photo interpreters reviewed the available photography for the purpose of 
determining which of the WAS wants list could and could not be classified.  For 
example, the resolution of the imagery allowed a photointerpreter to confidently 
assign the level 3 class code of 2140: Row Crops to a polygon but not of any of 
the Level 4 codes (see next item).

5.  The FLUCC's system is hierarchical; it includes four levels that build in terms of 
specificity:  A Level 1 classification is the most general it is a four digit code in 
which the first integer in the code is assigned one of eight numbers; 1000 = Urban 
and Built up class, 2000 = Agricultural, 3000 = Rangeland, 4000 = Upland 
Forests, 5000 = Water, 6000 = Wetlands, 7000 = Barren Land and 8000 = 
Transportation, Communications, Utilities.   The second integer (and each 
successive integer) provides a subclassification of a higher specificity.  For 
example 2100 (Level II) Class is Crop and pasture land a subtype of the 2000 
Agricultural class, 2150 (Level III) : Field Crops is a specific subtype of the 2100 
Crop and pasture land subtype.  Further, 2153 (Level iV) is a specific subtype of 
the 2150 class.

Very few level 4 classifications have been chosen.  This is so because 
discernment of the keys to classification for these classes typically require imagery
of a higher resolution than our source imagery.  The Level 4 designation is 
indicated in either the Land Use Code or Secondary Code Fields of the attribute 
table.

6.  A few classification types were added to accommodate needs that were 
specific to the Water Management districts.

-------------------------------------------------------------------

Land Use Descriptions:

1000    Urban and Built-up
1100    Residential, low density
1120    Mobile home units, low density
1200    Residential, medium density
1220    Mobile home units, medium density
1300    Residential, high density
1320    Mobile home units, high density
1400    Commercial and services
1420    Junk Yards
1440    Cultural and entertainment
1460    Tourist services
1480    Cemeteries
1500    Industrial
1560    Other Heavy Industrial
1600    Extractive
1610    Strip Mines
1620    Sand and gravel pits
1630    Rock quarries
1640    Oil and gas fields
1660    Holding ponds
1700    Institutional
1710    Educational facilities
1720    Religious
1730    Military
1740    Medical and Health care
1750    Governmental
1760    Correctional
1790    Institutional under construction
1800    Recreational
1810    Swimming beach
1820    Golf Courses
1830    Race Tracks
1840    marinas and fish camps
1850    Parks and zoos
1860    Community recreational facilities
1870    Stadiums
1880    Historic sites
1890    Other recreational
1900    Open land (Urban)
2000    Agriculture
2100    Cropland and pastureland
2200    Tree crops
2300    Feeding operations
2400    Nurseries and vineyards
2500    Specialty farms
2540    Aquaculture
2600    Other open land (Rural)
3000    Rangeland
3200    Shrub and brushland
3220    Coastal scrub
3300    Mixed rangeland
4000    Upland Forests
4100    Upland coniferous forests
4130    Sand pines
4200    Upland hardwood forests
4340    Mixed coniferous/hardwood
4350    Dead trees
4400    Tree plantations
4410    Coniferous plantations
4430    Forest regeneration areas
5000    Water
5100    Streams and waterways
5200    Lakes
5300    Reservoirs
5400    Bays and estuaries
5410    Embayments opening directly into the Gulf
5420    Embayments not opening directly into the Gulf
5600    Slough waters
5700    Oceans, Seas, and Gulf's
6000    Wetlands
6100    Wetland hardwood forests
6110    Bay swamps
6120    Mangrove swamps
6130    Gum swamps
6150    Stream and lake swamps
6160    Inland ponds and sloughs
6200    Wetland coniferous forests
6210    Cypress
6230    Atlantic cedar
6300    Wetland forested mixed
6400    Vegetated non-forested wetlands
6410    Freshwater marshes
6420    Saltwater marshes
6440    Emergent aquatic vegetation
6500    Non-vegetated
6510    Tidal flats
6530    Intermittent ponds
6900    Wetland shrub
7000    Barren land
7100    Beaches
7200    Sand other than beaches
7300    Exposed rocks
7400    Disturbed land
7420    Borrow areas
7450    Burned areas
7500    Riverine sandbars
8000    Transportation, communications, and utilities
8100    Transportation
8110    Airports
8120    Railroads
8140    Roads and highways
8150    Port facilities
8160    Canals and docks
8170    Oil, water, or gas transmission lines
8180    Auto parking facilities
8200    Communications
8210    Transmissions towers
8220    Communication facilities
8300    Utilities
8310    Electrical power facilities
8320    Electrical power transmission lines
8330    Water supply plants
8340    Sewage treatment
8350    Solid waste disposal
USER NOTES:
This data is provided 'as is'. GeoPlan relied on the integrity
of the original data layer's topology
This data is provided 'as is' by GeoPlan and is complete to our
knowledge.
GeoPlan relied on the integrity of the attribute information within
the original data.
The creation of this layer involves photo interpretation; for this data layer the 
classification of the land surface into one or two of 170 types.  It is the nature of 
interpretation that it involves the assessment of multiple sources of information, 
primarily the color, shape, pattern, horizontal size, vertical height, texture and 
context of features in a photograph and secondarily, information provided in 
ancillary data layers to arrive at a conclusive attribute assignment.  

Conclusion is a product of a weights-of-evidence analysis and as compared to 
direct measurement is subject to larger variability.  Several staff were involved in 
the creation of this layer and an individual's skill at photo interpretation is a known 
variable among several affecting accuracy.  In an effort to improve accuracy and 
limit variation between photo interpreters skills, the following methods were 
employed:
1.  Sought photo interpreters who had several years of experience.  
2.  Provided like-training when at all possible
3.  Held ongoing field trips to "calibrate" photo features with real world features.
4.  Tested photo interpreters and compared results as a qualitative assessment of 
variation prior to production of the layer
5.  Assessed each photo interpreters work weekly to assure compliance with 
methodological rules
6.  Randomly selected classified polygons and made field trips monthly to verify 
classifications, results were provided to Photo interpreters

Largest variation occurred between 6170: Mixed Wetland Hardwoods and 6300: 
Wetland Forested Mixed classifications.  It is difficult in some instances to 
distinguish between coniferous signatures and colors reflected from hardwoods 
that keep their leaves throughout the winter when photographs were flown.  It too 
is labor intensive to accurately determine the proportion of hardwood versus 
coniferous trees in these mixed classifications when polygons can be quite large 
and access constraints because of private property postings are numerous so field 
verifications of these classifications yield information of limited value.

Analyses of Land Use - Land Cover GIS information provide environmental 
scientists an understanding of the relationships between human activities, land 
surface physiography and water resources.  Florida's landscape is quickly 
changing and as a result, at the time prior to this layer's creation, existing land use 
- land cover GIS layers for the Suwannee River area were out-of-date.  A more 
current layer was needed to improve the accuracy of these analyses.

Reported Horizontal accuracy is not better than the source imagery upon which 
this dataset has been developed.  Source imagery is USGS's 3.75 minute Digital 
Ortho Quarter Quad (DOQQ) program imagery which meets National Map 
Accuracy Standards for products developed at 1:12K scale which specifies that 
over "90% of well defined points tested must fall within 33 feet" of ground 
condition and National Aerial Photography Program Standards.

This data is provided 'as is' and its horizontal accuracy
has not been verified by GeoPlan

This data is provided 'as is' and its vertical positional accuracy
has not been verified by GeoPlan

THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED
AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL
NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING,
MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS.

A note about data scale: 

Scale is an important factor in data usage.  Certain scale datasets
are not suitable for some project, analysis, or modeling purposes.
Please be sure you are using the best available data. 

1:24000 scale datasets are recommended for projects that are at the
county level.
1:24000 data should NOT be used for high accuracy base mapping such
as property parcel boundaries.
1:100000 scale datasets are recommended for projects that are at the
multi-county or regional level.
1:125000 scale datasets are recommended for projects that are at the
regional or state level or larger.

Vector datasets with no defined scale or accuracy should be
considered suspect. Make sure you are familiar with your data
before using it for projects or analysis. Every effort has been
made to supply the user with data documentation. For additional
information, see the References section and the Data Source Contact
section of this documentation. For more information regarding
scale and accuracy, see our webpage at:
http://geoplan.ufl.edu/education.html

FDEP Use Constraints:

This data is intended to be used for general informational and planning purposes, 
and is not appropriate for legal and/or cadastral purposes

REFERENCES:
Florida Department of Environmental Protection:
Watershed Management
http://www.dep.state.fl.us/water/watersheds/

Suwannee River Water Management District (SRWMD)
http://www.srwmd.state.fl.us/

DATA LINEAGE SUMMARY:
Initial Phase - Personal Geodatabase Environment

1. A polygon feature class representing the Suwannee River Water Management 
District was created by merging FWC's shoreline SDE layer and the boundaries of 
the SRWMD Area as defined by FDEP's SDE.BASE_WATER_MGMT_AREAS
Process Date: N/A

2. This large polygon was subdivided to allow the unique assignment of smaller areas to each photo interpreter. Subdivisions were based on a number of long linear features that were themselves classification types. This effectively reduced the amount of edge matching that would have to take place when subdivided polygons were stitched back together. These classes included; Streams and Waterways, Electrical Power Transmission Lines, Railroads, Highways. Process Date: N/A
3. Initially, a personal geodatabase was created for each subdivided area and delivered to each Photo interpreter individually. Process Date: N/A
4. In ArcGIS, ArcInfo version 9.1, each Photo interpreter began cutting smaller polygons from the large parent polygon they were delivered. Process Date: N/A
5. At the end of one week, a Quality Assurance manager reviewed each photo interpreter's work to assure compliance with the following rules: Minimum mapping unit convention (one half acre for the 5000 and 6000 classifications, five acres for the 3000 classifications and two acres for all others), Overuse of level II codes, the need to merge contingent same-coded polygons, dual coding conventions (The 1100 class (Low Density Residential), 1650 Reclaimed Lands, 1730 Military, 1920 Inactive Land with street patterns but without structures and 8340 Sewage Treatment always get a separate and different dual code. The following optionally may be assigned a different dual code value 1750 Governmental, 1850 Parks and Zoos, 2310 Cattle Feeding Operations, 2320 Poultry Feeding Operations, 2510 Horse Farms, 2520 Dairies, 8350 Solid Waste Disposal, 5300 Reservoirs.) Violations of methodological rules were delivered to photo interpreters in the form of a point feature class with coded domain values defining the nature of the violation. Process Date: N/A
6. Photo interpreters corrected errors and continued work. Process Date: N/A
7. Each individual subdivided area was regrouped via ArcGIS Toolbox Update command and joined with the completed enterprise area created as mentioned below. Roughly one third of the District was created in the personal geodatabase environment. Process Date: N/A
Second Phase - Enterprise Environment 1. Polygons representing the balance of the area was copied into a predefined Geodatabase Schema, this was provided to OTIS/GIS and copied into a versioned enterprise Geodatabase (SDE Version 9.1, Oracle 9.2) Process Date: N/A
2. Photointerpreters were assigned individual areas and began cutting parent polygons and classifying subdivisions Process Date: N/A
3. Weekly and Monthly QA and topology checks performed as outlined above Process Date: N/A
4. At the enterprise completion point, these large areas were updated with work performed in the personal geodatabase environment and an effort was performed to remove all sliver polygons, eliminate overlapping polygons, seek out and resolve classification differences between different photo interpreter's work and inspect for any other oddments in the dataset. Process Date: N/A
5. Land use and Dual Code description fields were added to the attribute table by joining a .dbf containing these values. Process Date: N/A
The new LULC data set received by OTIS/GIS Section from WRM and inserted in ArcSDE. Metadata updated. Process Date: 20080328
The GeoPlan Center received the original dataset SRWMD_LANDUSE_2004.shp from the Florida Department of Environmental Protection's Bureau of Watershed Restoration via FTP on April 10, 2008. The dataset was originally in the FDEP Albers projection which matched the FGDL Albers projection so the FDEP .prj file was swapped out for the FGDL .prj file. Next the records in the attribute table were UPPERCASED. Below is the original FDEP SRWMD file structure: ITEM NAME WIDTH TYPE Shape 0 Geometry OID_ 4 Integer LANDUSE_CODE 4 Integer SECONDARY_CODE 4 Integer LANDUSE_DESCRIPTION 85 String SECONDARY_DESCRIPTION 85 String LEVEL_1_LANDUSE 4 String LEVEL_2_LANDUSE 4 String LEVEL_3_LANDUSE 4 String OBJECTID 4 OID Below is the crosswalk table between the original file structure and the new file structure: ORIGINAL NAME NEW NAME Shape Same OID_ Deleted LANDUSE_CODE FLUCCS SECONDARY_CODE OTHER LANDUSE_DESCRIPTION LANDUSE_DE SECONDARY_DESCRIPTION SECONDARY2 LEVEL_1_LANDUSE FLUCCS_L1 LEVEL_2_LANDUSE FLUCCS_L2 LEVEL_3_LANDUSE FLUCCS_L3 OBJECTID Deleted Additionally GeoPlan added and populated the following fields: SOURCE SOURCE2 LEVEL1 LEVEL2 LEVEL3 FLUCCSCOMP ACRES DESCRIPT FGDLAQDATE AUTOID Process Date: 20080428
Data imported to ArcSDE and exported as a shapefile. Process Date: 20080515
MAP PROJECTION PARAMETERS:

Projection                          ALBERS
Datum                               HPGN
Units                               METERS
Spheroid                            GRS1980
1st Standard Parallel               24  0  0.000
2nd Standard Parallel               31 30  0.000
Central Meridian                   -84 00  0.000
Latitude of Projection's Origin     24  0  0.000
False Easting (meters)              400000.00000
False Northing (meters)             0.00000

DATA SOURCE CONTACT (S):

Name:
Abbr. Name:
Address:


Phone:

Web site:
E-mail:
Contact Person:
         Phone:
        E-mail:
Florida Department of Environmental Protection (FDEP) OTIS/GIS Section
FDEP
2600 Blair Stone Rd
Tallahassee, Florida
32399-2400


http://www.dep.state.fl.us/water/watersheds/ GIS.Librarian@dep.state.fl.us

FGDL CONTACT:
Name:                   FLORIDA GEOGRAPHIC DATA LIBRARY
Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
                        431 Architecture Building
                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

Contact FGDL: 

      Technical Support:	        http://www.fgdl.org/fgdlfeed.html
      FGDL Frequently Asked Questions:  http://www.fgdl.org/fgdlfaq.html
      FGDL Mailing Lists:		http://www.fgdl.org/fgdl-l.html
      For FGDL Software:                http://www.fgdl.org/software.html