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.
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
Suwannee River Water Management District (SRWMD) <http://www.srwmd.state.fl.us/>
This data is provided 'as is' and its horizontal accuracy has not been verified by GeoPlan
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
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)
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
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.
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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