Wetlands identified in this layer should only be used for general reference, not for legal purposes or detailed analysis. Local determinations always require field inspection.
Differences between the District FLUCCS and the statewide FDOT FLUCCS.
Every effort is made to keep the District's classification system consistent with the statewide system and those of adjacent districts (SF, SWF, and SR). The classes in the District system use the same names, code numbers and descriptions as the FDOT FLUCCS, in almost all cases. Definitions have been modified or expanded to meet the District's requirements, or to provide necessary clarification to PI's and users. Significant departures from the FDOT FLUCCS are noted in the PI Key pages and in the attached table fluccs_all_layers.
One significant difference between the District and Statewide FLUCCS is with the 3000 category - formerly Rangeland. This level 1 class has been re-named to Upland Non-forested, to better conform to actual mapping practices and landscape conditions. The District realized that many of the herbaceous and shrub areas mapped as 3000s do not meet the FDOT definition of rangeland - they tend rather to be open non-forested areas in urban or rural contexts other than range. A detailed explanation of this change is found at the 3000 PI Key page.
A minor change was made to the 4300 class, changing from 'Upland Hardwood Forests, Continued' to 'Upland Mixed Forest'. However none of the active codes used in these categories are changed from the FDOT version. This change creates a more logical system for the District's purposes.
Users should also note that the definition of 'Forested' vs. 'Non-forested' has been changed. The District system requires 25% rather than 10% canopy closure to be considered Forested.
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>
SJRWMD USE CONSTRAINTS: The St. Johns River Water Management District prepares and uses information for its own purposes and this information may not be suitable for other purposes. This information is provided "as is". Further documentation of this data can be obtained by contacting: St. Johns River Water Management District, Division of Integrated Application Systems, Post Office Box 1429, Palatka, Florida, 32178-1429, (386) 329-4500.
Guide to the Photointerpretation Key for the SJRWMD Land Cover Land Use 2000 Layer. <ftp://www.sjrwmd.com/disk6b/lcover_luse/luse2004/PI_Key_lulc2004/guide.html>
LCCODE and LUCODE values were screened to ensure that they belonged to the set of legal FLUCCS values for this data layer, as defined in the SJRWMD 2004 Photointerpretation Key.
Other ancillary layers 1999 DOQQs 1994 DOQQs 1984 digital photography
Mapping procedure Copy of 1999 layer is the input District divided into 10 mapping phases Progress monitored / measured by quarterquad (SDE status layer) Photointerpreters (PIs) work on independent quarterquads that are adjacent to encourage consistency Onscreen, ArcGIS editing Geodatabase: SDE layer SDE Versions created for each of the two editors Editor versions reconciled daily against default Attribute domains for LUCODE and LCCODE Includes fields for editor and edit date; scripts populate these fields automatically Editing process: map topology, not geodatabase topology. A cluster tolerance of 0.05 meters to be used emphasis on accuracy at 1:12,000 scale, even though the data look good enough to focus on larger scale No sliver polygons shall exist No overlapping polygons No gaps No label errors shall exist. No dangles shall exist. No intersection errors shall exist.
To create the data, the orthorectified images were displayed on a computer screen at varying scales of about 1:12,000 or less.
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan
The contract was initiated Sept. 2004, work began November 2004, and work Sept 2006. Adapting the use of Geodatabase for update and editing of data as well as technical issues with software and hardware slowed the project down in its early phases.
No gaps between polygons No overlapping polygons
A cluster tolerance of 0.05 meters was used.
Where substantial overlaps or gaps existed, an SJRWMD photointerpretation specialist was consulted and the errors corrected.
lulc2004_alachua.zip lulc2004_baker.zip lulc2004_bradford.zip lulc2004_brevard.zip lulc2004_clay.zip lulc2004_columbia.zip lulc2004_desc.dbf lulc2004_duval.zip lulc2004_flagler.zip lulc2004_indian_river.zip lulc2004_lake.zip lulc2004_marion.zip lulc2004_nassau.zip lulc2004_okeechobee.zip lulc2004_orange.zip lulc2004_osceola.zip lulc2004_polk.zip lulc2004_putnam.zip lulc2004_seminole.zip lulc2004_st_johns.zip lulc2004_st_lucie.zip lulc2004_union.zip lulc2004_volusia.zip
Each county was downloaded and unzipped. Next the counties were merged to create one district wide layer.
Next the district wide layer was dissolved (single part) on both the LUCODE and LCCODE, to remove the feature lines created at the county boundaries, this was done to create a more uniform district wide layer. The district wide feature count went from 354563 to 333954 features upon completion of the dissolve.
PLEASE NOTE: A few of the polygons found on the interior of the counties were dissolved into adjoining polygons with the same LUCODE and LCCODEs.
The newly created district-wide dataset was originally in NAD_1983_HARN_UTM_Zone_17N projection The district-wide layer was reprojected to the FGDL Albers projection.
Next a table join was performed between the lulc2004_desc.dbf and the district-wide layer based on the CODE field in the lulc2004_desc.dbf, and the LUCODE field in the shapefile. Once joined the layer was exported. in order to permanently append the lulc2004_desc.dbf table information.
Next the records in the attribute table were UPPERCASED.
Below is the original SJRWMD file structure:
ITEM NAME WIDTH TYPE OBJECTID 10 Number LCCODE 4 Number LUCODE 4 Number SHAPE_AREA 19 Number SHAPE_LEN 19 Number CODE 4 Number DESCRPT 150 String
Below is the crosswalk table between the original file structure and the new file structure:
ORIGINAL NAME NEW NAME OBJECTID Deleted LCCODE OTHER LUCODE FLUCCS SHAPE_AREA Deleted SHAPE_LEN Deleted CODE Deleted DESCRPT Same
Additionally GeoPlan added and populated the following fields:
SOURCE SOURCE2 FLUCCS_L1 LEVEL1 FLUCCS_L2 LEVEL2 FLUCCS_L3 LEVEL3 FLUCCSCOMP ACRES DESCRIPT FGDLAQDATE AUTOID
Data imported to ArcSDE and exported as a shapefile.
1100 Residential, Low Density - Less than 2 dwelling units per acre
1180 Residential, Rural - Less than or equal to 0.5 dwelling units per acre (one unit on 2 or more acres) 1190 Low density under construction
1200 Residential, Med. Density - Two to five dwelling units per acre
1290 Medium density under construction
1300 Residential, High Density
1390 High density under construction
1400 Commercial and Services
1460 Oil and gas storage: except those areas associated with industrial use or manufacturing 1480 Cemeteries 1490 Commercial and services under construction
1500* Industrial
1510 Food processing 1520 Timber processing
1523 Pulp and paper mills
1530 Mineral processing 1540 Oil and gas processing 1550 Other light industry 1560 Other heavy industrial
1561 Ship building and repair 1562 Prestressed concrete plants 1563 Metal fabrication plants
1590 Industrial under construction
1600 Extractive
1610 Strip mines
1611 Clays 1612 Peat 1613 Heavy metals
1620 Sand and gravel pits 1630 Rock quarries
1632 Limerock or dolomite 1633 Phosphates
1640 Oil and gas fields 1650 Reclaimed lands 1660 Holding ponds 1670 Abandoned mining lands
1700 Institutional
1730 Military 1750 Governmental (to be used for KSC only)
1800 Recreational
1810 Swimming beach 1820 Golf course 1830 Race tracks 1840 Marinas and fish camps 1850 Parks and zoos 1860 Community recreational facilities 1870 Stadiums: Those facilities not associated with High Schools, Colleges, or Universities 1890 Other recreational
1900 Open Land
1920 Inactive land with street pattern but without structures
2000* AGRICULTURE
2100* Cropland and Pastureland
2110 Improved pastures 2120 Unimproved pastures 2130 Woodland pastures 2140 Row crops
2143 Potatoes and cabbage
2150 Field crops 2160 Mixed crops
2200 Tree Crops
2210 Citrus groves 2240 Abandoned tree crops
2300* Feeding Operations
2310 Cattle feeding operations 2320 Poultry feeding operations
2400 Nurseries and Vineyards
2410 Tree nurseries 2420 Sod farms 2430 Ornamentals
2431 Shade ferns 2432 Hammock ferns
2450 Floriculture
2500 Specialty Farms
2510 Horse farms 2520 Dairies 2540 Aquaculture
2600 Other Open Lands - Rural
2610 Fallow cropland
3000* UPLAND NONFORESTED
3100 Herbaceous Upland Nonforested 3200 Shrub and Brushland 3300 Mixed Upland Nonforested
4000* UPLAND FORESTS
4100* Upland Coniferous Forests
4110 Pine flatwoods 4120 Longleaf pine - xeric oak 4130 Sand pine
4200 Upland Hardwood Forest
4210 Xeric oak 4280 Cabbage palm
4300* Upland Mixed Forest
4340 Upland mixed coniferous/hardwood 4370 Australian pine
4400 Tree Plantations
4410 Coniferous pine 4430 Forest regeneration
5000* WATER
5100 Streams and waterways 5200 Lakes
5250 Marshy Lakes
5300 Reservoirs 5400 Bays and estuaries
5430 Enclosed saltwater ponds within a salt marsh
5500 Major springs 5600 Slough waters
6000* WETLANDS
6100* Wetland Hardwood Forests
6110 Bay swamps 6120 Mangrove swamp 6170 Mixed wetland hardwoods 6180 * Cabbage palm wetland
6181 Cabbage palm hammock 6182 Cabbage palm savannah
6200 * Wetland Coniferous Forest
6210 Cypress 6220 Pond pine 6250 Hydric pine flatwoods
6300 Wetland Forested Mixed 6400* Vegetated Non-Forested Wetlands
6410 Freshwater marshes 6420 Saltwater marshes 6430 Wet prairies 6440 Emergent aquatic vegetation 6460 Mixed scrub-shrub wetland
6500 Non-vegetated Wetland
7000* BARREN LAND
7100 Beaches other than swimming beaches 7200 Sand other than beaches 7400 Disturbed land
7410 Rural land in transition without positive indicators of intended activity 7420 Borrow areas 7430 Spoil areas
8000* TRANSPORTATION, COMMUNICATION AND UTILITIES
8100* Transportation
8110 Airports 8120 Railroads 8130 Bus and truck terminals 8140 Roads and highways 8150 Port facilities 8160 Canals and locks 8180 Auto parking facilities - when not directly related to other land uses
8200 Communications 8300* Utilities
8310 Electrical power facilities 8320 Electrical power transmission lines 8330 Water supply plants 8340 Sewage treatment plants 8350 Solid waste disposal 8360 Other treatment ponds 8370 Surface water collection basins
9000 Special Classifications - Direction requested
See also: Florida Department of Transportation. 1999. Florida Land Use, Cover and Forms Classification System. Surveying and Mapping, Thematic Mapping Section, Tallahassee Florida.