Geodataset Name:       LU_NW_INDUSTRIAL_07
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polygon
Feature Count:         252

DATA SOURCE(S):                    Florida Department of Environmental Protection, Bureau of Watershed Restoration
SCALE OF ORIGINAL SOURCE MAPS:     N/A
GEODATASET EXTENT:                 Bay County, Calhoun County, Escambia County, Franklin County, 
Gadsden County, Gulf County, Holmes County, Jackson County, Jefferson County (Partial Coverage), 
Leon County, Liberty County, Okaloosa County, Santa Rosa County, Wakulla County, Walton County, 
and Washington County

PUBLICATION DATE:                  20100601
TIME PERIOD OF CONTENT:            Begin Date: 20061001    End Date: 20070301
DOWNLOAD LINK:                     http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: LU_NW_INDUSTRIAL_07.DBF

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item	Item Description
OBJECTID	Internal feature number.
SHAPE	Feature geometry.
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. NWFWMD = 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. NWFWMD 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. NWFWMD = 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.NWFWMD = 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.NWFWMD = 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.NWFWMD = 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
AUTOID	No description
FGDLAQDATE	The date FGDL acquired the data from the Source.
SHAPE.AREA	No description
SHAPE.LEN	No description

Entity and attribute overview: 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 photo-interpreter 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: 1110: MDC - LOW DENSITY, FIXED SINGLE FAMILY UNITS 1120: MDC - LOW DENSITY, MOBILE HOME UNITS 1130: MDC - LOW DENSITY, MIXED UNITS (FIXED AND MOBILE HOME UNITS) 1190: MDC - LOW DENSITY UNDER CONSTRUCTION 1210: MEDIUM DENSITY, FIXED SINGLE FAMILY UNITS 1220: MEDIUM DENSITY, MOBILE HOME UNITS 1230: MEDIUM DENSITY, MIXED UNITS 1290: MEDIUM DENSITY, UNDER CONSTRUCTION 1310: HIGH DENSITY, FIXED SINGLE FAMILY UNITS (> 6 DU/ACRE) 1320: HIGH DENSITY, MOBILE HOME UNITS 1330: HIGH DENSITY, MULTIPLE DWELLING UNITS, LOW RISE (THREE STORIES OR LESS) 1340: HIGH DENSITY, MULTIPLE DWELLING UNITS, HIGH RISE (FOUR STORIES OR MORE) 1350: HIGH DENSITY, MIXED UNITS (FIXED AND MOBILE HOME) 1390: HIGH DENSITY, UNDER CONSTRUCTION 1400: COMMERCIAL AND SERVICES 1423: JUNK YARDS 1454: CAMPGROUNDS 1460: OIL AND GAS STORAGE (EXCEPT ASSOCIATED WITH INDUSTRIAL USE OR MANUFACTURING) 1480: CEMETERIES 1490: COMMERCIAL AND SERVICES UNDER CONSTRUCTION 1510: FOOD PROCESSING 1520: TIMBER PROCESSING 1523: PULP AND PAPER MILLS 1530: MINERAL PROCESSING 1533: LIMEROCK 1540: OIL AND GAS PROCESSING 1550: OTHER LIGHT INDUSTRIAL 1551: BOAT BUILDING AND REPAIR 1560: OTHER HEAVY INDUSTRIAL (SHIP REPAIR, SHIP BUILDING, LARGE LUMBER MILLS) 1561: SHIP BUILDING AND REPAIR 1562: PRE-STRESSED CONCRETE PLANTS 1564: CEMENT PLANTS 1600: EXTRACTIVE 1610: STRIP MINES 1611: STRIP MINES - CLAYS 1620: SAND AND GRAVEL PITS 1632: DOLOMITE 1633: PHOSPHATE 1640: OIL AND GAS FIELDS 1650: MDC - RECLAIMED LANDS 1660: HOLDING PONDS 1700: ODC - INSTITUTIONAL ( EDUCATION, RELIGIOUS, HEALTH, MILITARY) 1730: MDC - MILITARY 1810: SWIMMING BEACH 1820: GOLF COURSES 1830: RACE TRACKS 1831: AUTOMOBILE TRACKS 1832: HORSE TRACKS 1833: DOG TRACKS 1840: MARINA'S AND FISH CAMPS 1850: ODC - PARKS AND ZOOS 1860: COMMUNITY RECREATIONAL FACILITIES 1890: OTHER RECREATIONAL (RIDING STABLES, GO CART TRACKS, SKEET RANGES) 1900: MDC - OPEN LAND 1910: UNDEVELOPED LAND WITHIN URBAN AREAS 1920: MDC - INACTIVE LAND WITH STREET PATTERNS BUT WITHOUT STRUCTURES 2110: IMPROVED PASTURES 2120: UNIMPROVED PASTURES 2130: WOODLAND PASTURES 2140: ROW CROPS 2150: FIELD CROPS 2153: HAY FIELDS 2200: RU - TREE CROPS 2210: CITRUS GROVES 2220: FRUIT ORCHARDS 2230: OTHER GROVES (PECAN, AVOCADO, COCONUT, MANGO ETC) 2310: ODC - CATTLE FEEDING OPERATIONS 2320: ODC - POULTRY FEEDING OPERATIONS 2400: NURSERIES AND VINEYARDS 2410: TREE NURSERIES 2420: SOD FARMS 2430: ORNAMENTALS 2500: RU - SPECIALTY FARMS 2510: ODC - HORSE FARMS 2520: MDC - DAIRIES 2540: AQUACULTURE 2610: FALLOW CROP LAND 3100: RANGE LAND, HERBACEOUS (DRY PRAIRIE) 3200: SHRUB AND BRUSHLAND 3210: PALMETTO PRAIRIES 3220: COASTAL SCRUB 3300: MIXED RANGELAND 4100: UPLAND CONIFEROUS FORESTS 4110: PINE FLATWOODS 4120: LONGLEAF PINE - XERIC OAK 4130: SAND PINE 4140: PINE-MESIC OAK 4200: UPLAND HARDWOOD FORESTS 4210: XERIC OAK 4270: LIVE OAK 4280: CABBAGE PALM 4340: HARDWOOD CONIFEROUS - MIXED 4410: CONIFEROUS PLANTATIONS 4430: FOREST REGENERATION AREAS 5100: STREAMS AND WATERWAYS 5200: LAKES 5300: RESERVOIRS 5410: EMBAYMENTS OPENING DIRECTLY INTO THE GULF OF MEXICO OR THE ATLANTIC 5420: EMBAYMENTS NOT OPENING DIRECTLY INTO THE GULF OF MEXICO OR THE ATLANTIC 5500: MAJOR SPRINGS 5600: RU - SLOUGH WATERS (CHANNELS OF SLOW MOVING WATER) 5720: GULF OF MEXICO 6100: WETLAND HARDWOOD FORESTS 6110: BAY SWAMPS 6130: GUM SWAMPS 6140: TITI SWAMPS 6150: STREAM AND LAKE SWAMPS (BOTTOMLAND) 6170: MIXED WETLAND HARDWOODS 6180: CABBAGE PALMS 6210: CYPRESS 6230: ATLANTIC WHITE CEDAR 6250: HYDRIC PINE FLATWOODS 6300: WETLAND FORESTED MIXED 6410: FRESHWATER MARSHES 6420: SALTWATER MARSHES 6430: WET PRAIRIES 6440: EMERGENT AQUATIC VEGETATION 6460: MIXED SCRUB-SHRUB WETLAND 6500: NON-VEGETATED WETLANDS 6510: TIDAL FLATS 6540: OYSTER BARS 7100: BEACHES OTHER THAN SWIMMING BEACHES 7200: SAND OTHER THAN BEACHES 7400: RU - DISTURBED LANDS 7410: RURAL LAND IN TRANSITION WITHOUT POSITIVE INDICATORS OF INTENDED ACTIVITY 7420: BORROW AREAS 7430: SPOIL AREAS 7450: BURNED AREAS 7500: RIVERINE SANDBARS 8110: AIRPORTS 8120: RAILROADS 8130: BUS AND TRUCK TERMINALS 8140: ROADS AND HIGHWAYS 8150: PORT FACILITIES 8160: CANALS AND LOCKS 8170: OIL, WATER OR GAS LONG DISTANCE TRANSMISSION LINES 8180: AUTO PARKING FACILITIES (WHEN NOT DIRECTLY RELATED TO OTHER LAND USE) 8200: COMMUNICATIONS 8310: ELECTRIC POWER FACILITIES 8320: ELECTRICAL POWER TRANSMISSION LINES 8330: WATER SUPPLY PLANTS (INCLUDING PUMPING STATIONS) 8340: MDC - SEWAGE TREATMENT 8350: ODC - SOLID WASTE DISPOSAL 8370: SURFACE WATER COLLECTION FEATURES 8390: UTILITIES UNDER CONSTRUCTION

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. FDEP: Attribute accuracy report: The creation of this layer involves photo interpretation; for this data layer the classification of the land surface into one or two of approximately 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 who made corrections to their work as necessary and "recalibrated" their methodology to account for information gathered during field verifications. 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 undeterminable accuracy.

Classifications for the following Counties were based on imagery "flown" on the listed dates; (Escambia , Dec 2006-Jan2007), (Santa Rosa, Nov 2006), (Okaloosa, Feb 2007), (Walton, October 2006), (Holmes, Jan-Mar 2007), (Washington, Jan-Mar 2007), (Bay, Jan-Mar 2007), (Jackson, Jan-Feb 2007), (Calhoun, Jan-Feb 2007), (Gulf, Jan-Feb 2007), (Gadsden, Nov 2006), (Liberty, Nov 2006), (Franklin, Nov-2006), (Leon, Jan 2007), (Wakulla, Jan 2007), (Jefferson, Jan-Feb 2007) FDEP_disclaimer_060608.txt Florida Department of Environmental Protection (FDEP) Projection Information and Data Disclaimer FDEP GIS data is provided as a public service. FDEP makes every effort to provide accurate and complete data. Metadata is provided for all datasets and no data should be used without first reading and understanding the limitations of the data. The Florida Department of Environmental Protection (FDEP) provides NO WARRANTY as to the accuracy of this data or any corresponding attributes or metadata. Data is provided in an "as is" condition, without warranty of any kind, either expressed or implied, including any assurance that the data is fit for a particular purpose. FDEP shall have no liability, in any case, to the use of provided data (including redistribution and reproduction). Full liability, responsibility and consequence relating to the use of provided data rest with the user.

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 Northwest Florida Panhandle area were out-of-date. A more current layer was needed to improve the accuracy of these analyses.

FDEP: Horizontal accuracy report: 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 vertical positional accuracy has not been verified by GeoPlan

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

The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. 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

REFERENCES:

Florida Department of Environmental Protection: Watershed Management http://www.dep.state.fl.us/water/watersheds/ Northwest Florida Water Management District (NWFWMD) http://www.nwfwmd.state.fl.us/

DATA LINEAGE SUMMARY:

A polygon feature class representing the Northwest Florida Water Management District (NWFWMD) area was created by importing NWFWMD 2004 LULC polygons into a file geodatabase with a schema that had been created to specifically capture photo-interpretive and QAQC workflow needs Process Date: An xml export of this geodatabase was provided to OTIS/GIS that in turn converted this dataset into an SDE layer and enabled a versioning environment that allowed four photo-interpreters to review, classify attributes, edit and communicate information and a QAQC manager to review and provide substantive feedback to photo-interpreters. Versioned Enterprise editing environment was created and managed by Florida Department of Environmental Protection's Office of Information Technology's GIS Section Administrator, Jonathan Watson. The default SDE version (grandparent version) had a single child QA manager version (parent), from this version four photo interpreter (child) versions were created and each of these child versions had one QA (grandchild) version. Daily work began with each individual photo interpreter reconciling their work against their versions parent and resolving any conflicts in effect incorporating any changes that had occurred since previous reconciliation. Weekly, the QA manager reconciled the grandchild version against its parent version. QA was performed on this version and once complete posted to all parent versions. Process Date: 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: Photo Interpreters corrected errors and continued work. Process Date: Monthly field verifications were performed according to the following steps: 1. All polygons created within the month were numbered 2. List of polygons was delivered to a statistician who selected 6 random numbers and delivered to QA manager 3. These became "anchor" polygons that were selected for field visits 4. Paper maps of anchor and surrounding polygons were created for navigational and field documentation purposes 5. A team of the project manager, one senior and one junior photo-interpreter visited each anchor polygon and determined it's "true" classification and the classification of 9 additional polygons in the immediate vicinity of the anchor polygon, this information was captured in an ssf file via Trimble's GeoXT and a photograph. 6. Upon return from field the ssf file was converted to an ESRI point Shapefile that was shared with the photo-interpreter for the purpose of communicating field verifications. 7. The photo interpreter corrected any work as necessary Process Date: Final QA/QC was performed according to project methodology. Process Date: Final QA parent version's Edit Polygon feature class was exported to Shapefile format. Classification description fields joined to this shapefile's attribute table. Contingent polygons sharing LU_CODE and SECONDARY_CODE field values were merged using DISSOLVE function. Shapefile exported to contain joined fields. Extraneous fields deleted. Individual Level 1, 2 and 3 fields added and calculated according to the following expressions respectively Field = left([LU_CODE],1)*1000 Field = left([LU_CODE],2)*100 Field = left([LU_CODE],3)*10 Created Metadata - 20100620 Added to SDE - 20100625 Process Date: 20100601 The GeoPlan Center received the original dataset NWFWMD_LANDUSE_2006_2007.shp from the Florida Department of Environmental Protection's Bureau of Watershed Restoration via FTP on June 7th, 2011. http://www.dep.state.fl.us/gis/datadir.htm 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 NWFWMD file structure: ITEM NAME WIDTH TYPE LANDUSE_DESCRIPTION 4 Integer SECONDARY_DESCRIPTION 4 Integer LANDUSE_CODE 4 Integer SECONDARY_CODE 4 Integer LEVEL_1_LANDUSE 4 String LEVEL_2_LANDUSE 4 String LEVEL_3_LANDUSE 4 String SHAPE 4 Geometry SHAPE.AREA 0 Double SHAPE.LEN 0 Double SHAPE.FID 0 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 GeoPlan used the 2004 NWFWMD Land Use Land Cover LANDUSE DESCRIPTIONS for the 2007 update layer because the original data from FDEP was lacking this information at the time GeoPlan downloaded the data. Process Date: 20110607 The following spatial view command was run in sde: sdetable -o create_view -T LU_NW_INDUSTRIAL_07 -t "LU_NWFWMD_2007" -c "*" -w "FLUCCS >= 1500 and FLUCCS < 1600" Process Date: 20110802

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, MS 6520
Tallahassee, Florida
32399-2400



http://www.dep.state.fl.us/gis/datadir.htm
GIS.Librarian@dep.state.fl.us

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