FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION

TITLE: FLORIDA LAND COVER

Geodataset Name:      GAP_LCOV
Geodataset Type:      GRID
Geodataset Feature:   POLYGON

GENERAL DESCRIPTION:

Land Cover map for the state of Florida derived from the classification of Landsat
TM satellite imagery.  The image is an 8-bit color image which employs a color
palette to ensure uniform colors throughout a particular series. That is to say, if
a color is defined as having a particular RGB value, for all images within that
series, the RGB value is the same. The image is intended for use as an image
backdrop, planning purposes, and for feature identification for various
conservation or other purposes.
DATA SOURCE(S):                   Florida Cooperative Fish and Wildlife Research Unit (FCFWRU)

SCALE OF ORIGINAL SOURCE MAPS:    N/A

DATE OF AUTOMATION OR SOURCE:     1993-1994

GEODATASET EXTENT:                State of Florida
FEATURE ATTRIBUTE TABLES:
Datafile Name: GAP_LCOV.DBF

ITEM NAME   WIDTH   TYPE      PRECISION

VALUE        4      BINARY       -
COUNT        4      BINARY       -
RED         12      FLOATING     3
GREEN       12      FLOATING     3
BLUE        12      FLOATING     3
CLASS_NAMES 96      CHARACTER    0

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item 		   Item Description

VALUE          Numerical value describing the land cover.
                 0   Background: This class represents marine areas and land
                     outside of the classification.
                 1   Open water: All fresh water bodies without vegetation or with
                     submerged aquatic species and no emergents.
                 2   Tropical Hardwood Hammock Formation: This class represents the
                     species rich hardwood hammocks of south Florida. Two major
                     vegetation alliances, coastal and interior hardwood hammocks,
                     are included in this formation.
                 3   Semi-deciduous Tropical/Subtropical Swamp Forest: This class
                     represents semi-deciduous forested swamps of south Florida. In
                     large strand swamps, such as, Fakahatchee Strand dominant
                     canopy species include baldcypress (Taxodium distichum), royal
                     palm (Roystonea elata), laurel oak (Quercus laurifolia), and
                     red maple (Acer rubrum). Included within this class are
                     communities known as South Florida Bayhead Forest. These low
                     stature swamps are also referred to as bayhead forest and tree
                     island. They contain an assemblage of temperate and tropical
                     species including: Annona glabra, Magnolia virginiana, and
                     Persea palustris.
                 4   Xeric-Mesic Live Oak Ecological Complex: This complex is
                     predominantly live oak (Quercus virginiana) and sand live oak
                     (Quercus geminata) found in areas with hydrologic conditions
                     varying from mesic to xeric.
                 5   Mesic-Hydric Live Oak/ Sabal Palm Ecological Complex: This
                     class is generally a coastal live oak (Quercus virginiana) and
                     sabal palm (Sabal palmetto). It generally is found on mesic to
                     hydric sites. The hydric sites may be analogous to hydric
                     hammocks
                 6   Bay/Gum/Cypress Ecological Complex: This class represents
                     forested communities containing combinations of bay (Gordonia
                     lasianthus, Magnolia virginiana, Persea palustris), gum (Nyssa
                     spp.), and cypress (Taxodium spp.). Due the difficulty of
                     spectral differentiation of communities containing these
                     species a broad more general class was created. The order of
                     species in the class name does not represent the order of
                     dominance. (Leitman et al. 1983, Loftin 1998).
                 7   Loblolly Bay Forest: This class is dominated by Gordonia
                     lasianthus
                 8   Cajeput Forest Compositional Group: This class represents both
                     forest and woodland Melaleuca quinquenervia community types.
                 9   Mixed Mangrove Forest Formation: This formation is a catch all
                     for mangrove forest types containing the three mangrove
                     species in varying levels of dominance. The class generally
                     represents mangrove forest found inland of the fringe.
                     Dominance is generally shared by white and black mangrove with
                     occasional red mangrove.
                10   Black Mangrove Forest: This forest is generally pure black
                     mangrove.
                11   Red Mangrove Forest: This forest tends to found as patches
                     embedded in Mixed Mangrove Forest Formation, higher energy
                     islands, and forest fringes greater than 30 m wide.
                12   Casuarina Compositional Complex: Casuarina forest and woodland
                     were combined in this class.
                13   South Florida Slash Pine Forest: This is an exclusively south
                     Florida pine forest type. The forest is dominated by Pinus
                     elliottii var. densa and tends to be found on sand in the
                     northern part of it's range and limestone rock in the south
                     part. This forest tends to have reduced canopy coverage
                     compared to north Florida slash pine (Pinus elliottii var.
                     elliottii)
                14   Sand Pine Forest: Forest dominated by sand pine (Pinus
                     clausa). No attempt was made to differentiate between Pinus
                     clausa var. clausa and Pinus clausa var. immuginata. These
                     forests are found on dry, sand ridges in the interior and
                     along the coast.
                15   Mesic-Xeric Mixed Pine/Oak/Hickory Forest Ecological Complex:
                     This complex represents mesic to xeric mixed pine/oak/hickory
                     forest. The dominant species may include varying levels of
                     Pinus elliottii, P. palustris, P. taeda, Quercus falcata, Q.
                     hemisphaerica, Q. virginiana, Carya glabra, and C. tomentosa.
                     These species are not exclusive dominants for this class, but
                     they were observed frequently during ground-truthing
                16   Mesic-Hydric Pine Forest Compositional Group: This class
                     represents multiple pine forest types. The variation found
                     among forest types is dependent on slightly varying moisture
                     conditions. The dominant pine type in the class tends to be
                     slash pine (Pinus elliottii var. elliottii) flatwoods. Classes
                     were combined because of the difficulty in differentiating
                     pine types from satellite data.
                17   Swamp Forest Compositional Group: This class represents
                     deciduous and evergreen swamp forests of north and central
                     Florida. Classes were consolidated because LANDSAT satellite
                     data from phenologically varying times (leaf on vs. leaf off)
                     was not available. Leaf on or leaf off data were commonly
                     available for adjacent scenes. The resulting classifications
                     tended to consistently detect broad-leaved dominated swamp
                     forest, but not differentiate deciduous from evergreen. This
                     class may contain measurable, but not dominant amounts of
                     cypress (Taxodium spp.). The class may contain some of the
                     same species and species combinations as class 6
                     (Bay/Gum/Cypress Forest Ecological Complex). The
                     Bay/Gum/Cypress forest was treated as a separate class because
                     it is common to north Florida and was detectable using LANDSAT
                     data and our classification techniques. Contrast with class 7
                     Loblolly Bay forest, in which this type of evergreen swamp was
                     separable.
                18   Cypress Forest Compositional Group: This class represents
                     cypress communities dominated by Taxodium ascendens and T.
                     distichum. These communities include cypress domes (T.
                     ascendens), and river and lake fringes (T. distichum).
                     Confusion associated with this class may include overlap with
                     pines and cypress/gum ponds within the pine flatwoods in which
                     they all occur.
                19   Mixed Evergreen-Cold-deciduous Hardwood Forest: The mixed
                     evergreen/cold-deciduous forest varies in species composition
                     across northern Florida. The eastern component is dominated by
                     various oaks and hickory, including Quercus hemispherica, Q.
                     virginiana and Carya glabra. The western component is
                     dominated by beech (Fagus grandifolia) and southern magnolia
                     (Magnolia grandiflora). The community is known by various
                     names including, southern mesic hardwood forest and upland
                     hardwood forest.
                20   Buttonwood Woodland: This class represents buttonwood
                     (Conocarpus erectus) woodland of south Florida. These
                     communities are usually found inland and adjacent to the
                     mangrove zone over marl soils or on exposed limestone rock.
                21   Mixed Mangrove Woodland: The mixed mangrove woodlands in our
                     map are generally the result of hurricane Andrew in August
                     1992. The forest species are the same as the mixed mangrove
                     forest, but canopy coverage has been reduced to 25-60%.
                22   Black Mangrove Woodland: Black mangrove (Avicennia germinans)
                     with canopy coverage 25-60%.
                23   Red Mangrove Woodland: Red mangrove (Rhizophora mangle) with
                     canopy coverage 25-60%.
                24   Live Oak Woodland: Live oak (Quercus virginiana) woodlands are
                     usually found along the coast on sand or shell deposits. In
                     our map they can also occur as isolated patches within pasture
                     areas.
                25   South Florida Slash Pine Woodland: This class represents open,
                     generally low stature south Florida slash pine (Pinus
                     elliottii var. densa) stands on marl, sand or rock. Understory
                     usually is graminoid and occasional dwarf cypress (Taxodium
                     ascendens) may be present.
                26   Sandhill Ecological Complex: Sandhill ecosystems are
                     characterized by longleaf pine (Pinus palustris), a few
                     xeriphytic oaks (Quercus incana, Q. geminata, Q. laevis), and
                     a wiregrass/sporobolus understory on sand. Tree cover is
                     generally 25-60%.
                27   Broad-leaved Evergreen and Mixed Evergeen/Cold-deciduous
                     Shrubland Compositional Group: This class serves as a catch-
                     all for many evergreen and mixed evergreen/cold-deciduous
                     shrub communities that were obviously present, but difficult
                     or impossible to differentiate. As it is used in this map this
                     class tends to be mesic to hydric. More specific classes (e.g.
                     Flooded/Saturated Broad-leaved Evergreen Shrubland Ecological
                     Complex, Dry Prairie, Gallberry/Saw Palmetto Shrubland, Dwarf
                     Mangrove) have been identified for this map and are treated as
                     subsets of this class within the vegetation classification
                     system.
                28   Flooded/Saturated Broad-leaved Evergreen/Mixed Evergreen-Cold
                     deciduous Shrubland Compositional Group: This class represents
                     communities dominated by broad-leaved evergreen species.
                     Representative species include fetterbush (Lyonia lucida) in
                     north Florida and cocoplum (Chrysobalanus icaco) in south
                     Florida. This class also includes a freshwater variant of the
                     red mangrove dwarf shrubland. In freshwater areas red mangrove
                     (Rhizophora mangle) and cocoplum (C. icaco) are often found
                     together.
                29   Dry Prairie Ecological Complex: In Florida dry prairies are
                     sparsely wooded savannas with dominance by a mosaic of saw
                     palmetto (Serenoa repens) and grasses (Aristida spp.,
                     Sporobolus spp., and Andropogon spp.)
                30   Gallberry/Saw Palmetto Compositional Group: This class
                     represents shrub and graminoid communities found in
                     association with wet flatwoods. While similar to the dry
                     prairie class it tends to be wetter and have a greater
                     dominance by shrubs. Gallberry (Ilex glabra and I. coriacea),
                     fetterbush (Lyonia lucida), sweet pepperbush (Clethra
                     alnifolia), and titi (Cyrilla racemosa and Cliftonia
                     monophylla) are representative species. This community may be
                     an early phase of pine regeneration or it may have a more
                     permanent status (see Apalachicola National Forest for
                     examples).
                31   Brazilian Pepper Shrubland: The exotic shrub Schinus
                     terebinthifolius dominates this community in dense,
                     monospecific stands. This community is generally found in
                     south Florida and along both coasts further north to central
                     Florida.
                32   Dwarf Mangrove Ecological Complex: This complex represents
                     shrub mangroves, regardless of dominance by the three mangrove
                     species. The largest stands are found in south Florida in
                     areas with marl dominated soils and in areas with standing
                     freshwater near the coast. The community is also found in the
                     Indian River Lagoon.
                33   Coastal Strand: This is a coastal dune, shrub dominated
                     community. Dominance in north Florida by saw palmetto (Serenoa
                     repens) and yaupon holly (Ilex vomitoria) is common. In
                     southern Florida, saw palmetto (Serenoa repens) remains common
                     and sea grape (Coccoloba uvifera) becomes a more prominent
                     community member.
                34   Groundsel-tree/Marsh Elder Tidal Shrubland: The groundsel-tree
                     (Baccharis halimifolia)/Marsh-Elder (Borrichia frutescens) is
                     an open, coastal community found at slightly higher elevation
                     than the high salt marsh. It is often transitional to upland
                     communities, such as, Live Oak/Sabal Palm forest.
                35   Xeric Scrubland: This class represents broad-leaved shrublands
                     on inland sand and coastal dune ridges. It is dominated by
                     various scrubby oaks and other xeriphytic species, such as,
                     Quercus chapmanii, Q. geminata, Q. inopina, Q. myrtifolia,
                     Ceratiola ericoides, and Lyonia ferruginea. Scattered sand
                     pine (Pinus clausa), longleaf pine (P.palustris), and slash
                     pine (rarely P. elliottii var. elliottii in the north and
                     commonly P. elliottii var. densa in the south) may be found in
                     the scrub.
                36   St. Johns Wort Shrubland Compositional Group: These are shrub
                     communities often found in isolated, small, acid wetlands. St.
                     Johns Wort may cover the entire wetland or only inhabit the
                     fringe of deeper water bodies.
                37   Flooded Cold-deciduous shrubland Ecological Complex: This
                     class represents shrub wetlands dominated by willow (Salix
                     spp.), buttonbush (Cephalanthus occidentalis), river birch
                     (Betula nigra), and/or hazel alder (Alnus serrulata). These
                     species share the same habitat in some but not all cases.
                     River birch and hazel alder are northern species, while willow
                     and buttonbush are found throughout the state. In some areas,
                     especially in south Florida, willow and buttonbush may inhabit
                     areas with high proportions of cattail (Typha spp.).
                38   Saltwort/ Glasswort Ecological Complex: The Saltwort (Batis
                     maritima)/Glasswort (Salicornia spp.) complex represents
                     saltwort and/or glasswort. These communities vary
                     geographically from pure stands of either species to mixed
                     stands. The communities are found in association, but inland
                     of salt marsh in northern Florida. In south Florida they are
                     found on marl and limestone near the coast in association with
                     mangroves and buttonwood.
                39   Graminiod Dry Prairie Ecological Complex: This class was
                     generally used to describe coastal graminoid communities found
                     on the landward side of dunes. Muhlenbergia spp., and
                     Eragrostis spp. are representative species.
                40   Sea Oats Dune Grassland: Vegetated coastal dunes near beaches
                     are generally dominated by a cover of sea oats (Uniola
                     paniculata), other grasses (Panicum spp., Sporobolus spp),
                     forbs (Sesuvium portulacastrum), and vines (Ipomoea pes-
                     caprae).
                41   Wiregrass Grassland: Wiregrass (Aristida spp.) communities are
                     repesented here. These grasslands may also contain significant
                     proportions of Sporobolus spp. which are spectrally
                     indistinguishable from Aristida spp.
                42   Graminoid Emergent Marsh Compositional Group: This class
                     represents freshwater graminoid marshes that cannot be
                     distinguished to the specific level.
                43   Sawgrass Marsh: Freshwater marshes dominated by sawgrass
                     (Cladium mariscus var. jamaicense). This community is found
                     throughout Florida. It is found most extensively in the
                     Everglades of south Florida. In the remainder of Florida it is
                     found in small isolated wetlands and at the mouths of many
                     rivers.
                44   Spikerush Marsh: Freshwater marshes dominated by spikerush
                     (Eleocharis spp.). This community is found throughout Florida.
                     It is found most extensively in the Everglades of south
                     Florida, often in association with more open areas known as
                     wet prairies. In the remainder of Florida it is found in small
                     isolated wetlands.
                45   Muhly Grass Marsh: Muhly prairies in south Florida are
                     dominated by Muhlenbergia filipes and are generally found on
                     marl soils with a relatively short hydroperiod. Muhlenbergia
                     spp. are also found on dry coastal sands and shells and may be
                     confused with marshes under dry conditions.
                46   Cattail Marsh Compositional Group: This class represents
                     southern cattail (Typha domingensis) and common cattail (T.
                     latifolia). Southern cattail is found primarily in southern
                     Florida and common cattail in northern Florida. Both species
                     can be found together anywhere in the state.
                47   Salt Marsh Ecological Complex: This class represents salt
                     water graminoid marshes that cannot be distinguished to the
                     specific level.
                48   Sand Cordgrass Grassland: Sand cordgrass (Spartina bakeri)
                     tends to be found along the coast in the interface between
                     salt marsh and the adjacent upland. It also is found in
                     patches along rivers and in some inland upland sites.
                49   Black needle Rush Marsh: This class represents black needle
                     rush (Juncus roemerianus). This is the most widespread of the
                     salt marsh communities.
                50   Saltmarsh Cordgrass Marsh: This class represents saltmarsh
                     cordgrass marsh (Spartina alterniflora). This communities is
                     found most extensively in northern Florida.
                51   Saltmeadow Cordgrass/Salt Grass Salt Marsh: Saltmeadow
                     Cordgrass (Spartina patens)/Salt Grass (Distichlis spicata)
                     Salt Marsh is a high salt marsh often containing Baccharis
                     halimifolia and Myrica cerifera shrubs.
                52   Sparsely Wooded Wet Prairie Compositional Group: This
                     represents communities with a graminoid or forb wetland
                     understory and a sparse wooded overstory. The class may
                     include dwarf or tree size cypress (Taxodium ascendens), pine
                     (Pinus spp.), or other wetland adapted trees.
                53   Dwarf Cypress Prairie: This class is prominent in south
                     Florida. It is dominated by graminoids (e.g. Muhlenbergia
                     filipes, Rhynchospora spp.) with a very sparse pond cypress
                     (Taxodium ascendens) shrub overstory.
                54   Temperate Wet Prairie: These are wetland communties dominated
                     by graminoids, forbs and hydrophyllic species.
                55   Maidencane Marsh: Maidencane (Panicum hemitomon) marsh is
                     represented by this class. The community is found throughout
                     Florida as a lake fringing marsh and in south Florida in
                     prominent large patches in the Everglades. The community may
                     not be detected when found around lakes when the marsh is to
                     narrow.
                56   Forb Emergent Marsh: This class represents emergent marsh
                     containing flag species, such as Pontederia cordata,
                     Sagittaria lancifolia, and Thalia geniculata.
                57   Water lily or Floating Leaved Vegetation: This class
                     represents water lily and floating leaves species such as,
                     Eichhornia crassipes, Hydrocotyle spp., Nuphar luteum,
                     Nymphaea odorata, and Nymphoides aquatica. While different
                     ecologically, the water lilies (Nuphar luteum, Nymphaea
                     odorata, and Nymphoides aquatica) and floating leaved species
                     (Eichhornia crassipes and Hydrocotyle spp.) are difficult to
                     distinguish spectrally due to the high water content of their
                     respective environments. Nevertheless, large patches will tend
                     to be water lily dominated, while small patches and fringing
                     communities will be dominated by floating leaved species.
                58   Periphyton: This class represents periphyton, an aggregate of
                     calcareous algae. It covers the greatest area and is most
                     obvious in south Florida.
                59   Sand, Beach: This class represents unvegetated sand and beach.
                60   Bare soil/Clearcut: Disturbed sites and recent clearcuts
                     generally have a large proportion of area in exposed sand.
                     They appear similar spectrally and are difficult to
                     differentiate. As a result, some agricultural fields and
                     recently developed residential sites may be confused with
                     clearcuts.
                61   Pavement, Roadside: As one might expect these are
                     transportation corridors including both the pavement and
                     associated cultivated roadside.
                62   Urban: This class represents predominantly commercial urban
                     areas.
                63   Urban Residential: Urban residential is as it seems.
                64   Urban Open/Others: This class represents the open areas and
                     unknown urban uses.
                65   Agriculture: Row crops, farm roads, and structures are found
                     under this class.
                66   Pasture/Grassland/Agriculture: This class represents pasture,
                     grassland, and some agriculture. The difficulty of
                     differentiating grassland and some forms of agriculture (e.g.
                     hay) from pasture using spectral data has resulted in this
                     lumped class. The class appears to be primarily pasture,
                     although some overlap with sandhill and other open, graminoid
                     type communities may have occurred.
                67   Ag/Groves/Ornamental: This class represents orchards (e.g.
                     pecan, peach, pear) and groves (e.g. Citrus).
                68   Ag/Confined Feeding Operation/ Specialty Farms: This
                     represents cattle feetlots and dairy farms.
                69   Extractive: This class represents mined areas, including
                     phosphate and sand mines.
                70   Recreation
                71   Cloud: Yes, it happens clouds creep into a coverage and cannot
                     be removed.

COUNT          Number of cells corresponding to value

RED            The spectral value which determines the display color for a value.

GREEN          The spectral value which determines the display color for a value.

BLUE           The spectral value which determines the display color for a value.

CLASS_NAMES    The common name for each type of landcover.

USER NOTES:

The Florida Gap Project is mandated by the National Gap Program, USGS/BRD to use
the recently enacted United States National Vegetation Classification System (NVCS)
as the classification for its vegetation map of the state of Florida. The NVCS is
based on a hierarchical structure with vegetation physiognomic and floristic
elements. The competing needs of producing a map with a high classification
resolution and the use of landcover data from the LANDSAT satellite system has
resulted in the development of a modified vegetation classification for the state
based on the NVCS classification. Vegetation was classified to the Alliance level
or to a higher aggregation of Alliances when discrimination to the Alliance level
was not reliable. Various factors can limit the type and content of a
classification. For example, due to cloud cover and cost, the Florida Gap Project
often used LANDSAT data from a single date for each scene. Adjacent scenes often
were from seasonally different dates, resulting in spring/summer phenology for one
scene and fall/winter phenology for another. Thus, reliable classification of
deciduous versus evergreen dominated vegetation types was reduced.

FGDL QUALITY ASSURANCE STATUS:

The GeoPlan Center, using ERDAS Imagine:
(1) Reprojected the image to Albers HPGN (see "Map Projection Parameters" below).
(2) Subset (clipped) the image to each of Florida's 67 counties.
(3) Exported each county image to grid.

REFERENCES:

The Florida Gap Project is mandated by the National Gap Program, USGS/BRD to use
the recently enacted United States National Vegetation Classification System (NVCS)
as the classification for its vegetation map of the state of Florida (Anderson et
al. 1998, Grossman et al. 1998). Please refer to the following works for more
information regarding the classifications used in this data layer:

Anderson, M., P. Bourgeron, M. T. Bryer, R. Crawford, L. Engelking, D. Faber-
Langendoen, M. Gallyoun, K. Goodin, D. H. Grossman, S. Landaal, K. Metzler, K. D.
Patterson, M. Pyne, M. Reid, L. Sneddon, and A. S. Weakley. 1998. International
Classification of Ecological Communities: TERRESTRIAL VEGETATION of the UNITED
STATES VOLUME II The National Vegetation Classification System: List of Types. The
Nature Conservancy, Arlington, Virginia, USA.

Crist, E. P. (1985). "A TM Tasseled Cap Equivalent Transformation for Reflectance
Factor Data." Paper, Elsevier Science Publishing Co., Inc., New York, New York.

Grossman, D.H., D. Faber-Langendoen, A.S. Weakley, M.Anderson, P.B ourgeron, K.
Goodin, D. H. Grossman, S. Landaal, K. Metzler, K. D. Patterson, M. Pyne, M. Reid,
L. Sneddon, and A. S. Weakley. 1998. International Classification of Ecological
Communities: TERRESTRIAL VEGETATION of the UNITED STATES VOLUME I The National
Vegetation Classification System: Development, Status, and Applications. The Nature
Conservancy, Arlington, Virginia, USA.

Hill, J. and J. Megier (1988). "The Use of Multi-Temporal TM Tasseled Cap Features
for Land Use Mapping in European Marginal Areas An operational Approach."
International Geoscience and Remote Sensing Symposium (IGARSS), v2, pp.798-801.

Leitman, H. M., J. E. Sohm, and M. A. Franklin. 1983. Wetland hydrology and tree
distribution of the Apalachicola River flood plain, Florida. U.S. Dept. of the
Interior, Geological Survey ; Alexandria, Va.

Loftin, C. S. 1998. Assessing patterns and processes of landscape change in
Okefenokee Swamp, Georgia. Ph.D. Dissertation, University of Florida, Gainesville,
Florida. 835pp.

Pearlstine, L., A. McKerrow, M. Pyne, S. Williams, and S McNulty. 1998.
Compositional Groups and Ecological Complexes: A Method for Alliance-Based
Vegetation Mapping. In: Gap Analysis Bulletin #7 National Gap Analysis Program,
USGS-BRD, 

DATA LINEAGE SUMMARY:

The GeoPlan Center obtained this data in image format (*.img) in May 2000. When
received, the image was in the following projection: UTM Zone 17, Datum: NAD27,
Spheroid: Clarke 1866. Image pixel size was 30.0 meters x 30.0 meters. The image
was reprojected to Albers HPGN (see "Map Projection Parameters below") using ERDAS
Imagine. The image was then subset to each of the 67 Florida counties, and each
county image was exported to a grid (using ERDAS Imagine).

Methods used by FCFWRU to create this dataset are as follows:

The land cover mapping technique developed by the Florida Fish and Wildlife
Cooperative Unit synergizes existing geospatial information with current Landsat
imagery. The primary data used in this method are: Landsat TM imagery from
1992/1993 (92/92) and/or from 1993/1994 (93/94); Updated Florida water management 
district land use/land cover maps Videography ground truth information; Third party 
ground-truth information; National Wetlands Inventory (NWI) maps; Soil Conservation 
Service Soils Maps.

For each Landsat scene location, the dates of the imagery are reviewed to determine
if two images are available that are approximately one year apart and in different
seasons. If this criteria is meet, the multi-date approach is used. This approach
capitalizes on the seasonal variation of vegetation that can be detected using
Landsat TM imagery. Each scene is classified independently and subsequently, the
classified images are merged to create a seamless mosaic. Following is a
description of the multi-date technique. The method outlined below is divided into
a pre-processing and post-processing phase. In the pre-processing phase, the
Landsat imagery is made usable for classification by: checking for database
consistency with the land use/ land cover maps, correcting for atmospheric affects
as needed, and computing the first three spectral rotations of the tasseled cap
algorithm (brightness, greenness and wetness). During the processing phase, an
iterative unsupervised classification algorithm is used in a knowledge based
cluster busting method.

Methods:

Multi-date Land Cover Mapping Technique: When adequate information is available,
multi-temporal image classification procedures are used. Many different techniques
and band combinations can be used to classify Landsat imagery. However, Hill and
Megier (1988) found multi-temporal image classification using the Tasseled-Cap
algorithm resulted in improved land cover mapping. Using similar procedures, each
scene was classified as follows.

Pre-processing: In the pre-processing phase, the data used in the classification
methodology is first checked for database constancy and co-registration. The images
are normalized and the tasseled cap transformation for each image is computed. A
discussion of each component is presented below.

Database consistency: One component of the classification methodology uses land
use/land cover maps. These maps were obtained from Florida's water management
districts and revised with Landsat imagery from 1992 and 1993. However, imagery
from 1993 and 1994 were also used in the classification. These images are overlayed
with the land use maps and checked for database consistency. If consistent
positional errors are present, an affine transformation and nearest-neighbor
resampling is used to co-register the image to the land use/land cover maps.
Additionally, poor co-registration between multi-date image bands will confuse the
classification and therefore, a poor classification will result. Each image,
potentially having been geo-rectified by different people and using different
ground control, is co-registered as needed.

Normalization: Prior to any multi-date image analysis, it is necessary to correct
for differences in sensor offset and gain and also scene illumination caused by
different seasons and atmospheric conditions. The difference in overall brightness
between the images was normalized using image regression. This method is well
suited for multi-temporal analysis where care must be taken not to adjust the image
for the seasonal variation of vegetation. A regression model to account for these
differences is obtained by first identifying about 15 to 20 bright and dark objects
in each scene and, for each band, recording the digital number (DN). An example of
a dark object is uniform non turbid man-made lakes. Good bright object are: airport
runways, large roads, beaches, dense urban areas, and exposed soils. Once these
values are compiled, a linear regression model is computed with the darker of the
two images assigned to the X variable. This insures that positive corrections are
made such that when applied no negative numbers resulted in the output image
however, compression of values near 255 can occur. For each band a linear
regression model and an associated scatter plot are computed. If the model has a
correlation coefficient (r) higher than 95% and the scatter plot does not have
significant outliers, the linear model is used. When outliers are detected, they
are removed and the regression model is recomputed.

Tasseled-Cap: The last step in the pre-processing phase is to compute the tasseled
cap algorithms. The tasseled-cap transformation provides a mechanism for data
reduction and enhanced image interpretation by emphasizing the structures in the
spectral data which arise as a result of particular physical characteristics of
scene classes (Crist 1985). The equations for this spectral index have been
supplied by ERDAS, Inc. Atlanta, Georgia. Brightness, greenness, and wetness are
computed for each image and combined into one multi-temporal data set.

Processing: In the processing phase, for each Landsat scene location two classified
images are created, a classified image of natural areas, and a classified image of
some urban and agricultural areas. This segmentation assistes with reducing the
overall spectral variability of the image and hence results in an improved
unsupervised classification. Using Florida's modified land use/land cover
classification system (FLUCCS), codes that represent natural areas are used to
isolate natural areas in the imagery. Similarly, FLUCCS codes are used to isolate
urban and agricultural areas which may contain natural areas (e.g. FLUCCS code for
institution lands fall under the urban codes however, these lands many times are
natural).

Classification of Natural Areas: For the natural areas, Imagine's interative
unsupervised classification routine (ISODATA) is used to create 6 signatures. These
signatures are then used with the minimum distance to mean classifier to classify
natural areas to 6 classes. Next, for each class of the classified natural areas
image, 3 to 5 new classes are created using ISODATA and the minimum distance to
mean classifier. At this point, up-to 30 classes could exist. These classes are
then summarized against ground truth information obtained from videography. This
summary is then used in a knowledge based class combining or class "busting"
method.Using this approach, classes with multiple labels are identified
and "busted" (classified into more classes). Conversely, multiple classes with the
same class name are combined. When possible, post-classification sorting is used to
refine the classification. In some instances certain classes can be separated based
on ancillary information such as NWI or soils information. For example, this
refinement allowes for the separation of some class that could be differentiated
and reclassified based on fresh water or salt water NWI classes. At a pixel level,
this could easily be done however, treating contiguous pixels as a group and
reclassifying all pixels in that group based on a majority NWI class value will
eliminate potential "salt and pepper" and it will create a more natural split of
the classes. Splitting the classes involved: isolating and recoding the classes of
interest, clumping the classes, summarizing these clumps against the NWI coverage,
and splitting the classes through crosstabulation.

Classification of Urban Areas: The classification of urban areas for the GAP
Anaylsis project is being performed by the Coastal Service Center (C-CAP) Program.
However, an unsupervised classification of these areas was performed. For
urban/agricultural areas, 15 to 30 classes were created using ISODATA and the
minimum-distance-to-mean classifier. Classes that represented natural areas were
isolated and labeled. Finally, the classified images, with class names, were merge
to create a seamless mosaic. Classes from land use/land cover maps were used to
populate excluded lands in the mosaic. The descriptive form of the FLUCCS codes
were used as labels.

Each TM image to be used in the classification process was reviewed for database
consistency with land use/land cover maps and corrected for atmospheric haze
effects as needed. The images were normalized and the first three rotations
(brightness, greenness, wetness) of the tasseled cap algorithm were applied. The
tasseled-cap transformation which provides a mechanism for data reduction and
enhanced image interpretation is computed for Natural areas were isolated from the
high reflectance values of urban and agricultural areas prior to classification.
Using the 'Urban and Ag' masks with the tasseled cap image, the unsupervised
classification routine (explained below) was used to create a 10 to 25 Class image
of the masked area. The classes were visually compared to the tasseled cap imagery
and those identified as natural areas were included with the areas defined by
the 'Natural Areas Mask.' ERDAS Imagine's iterative unsupervised classification
algorithm (ISODATA) was applied to the tasseled cap plus raw bands 2,3,4, and 5,
under the 'Natural Areas Mask' to create spectral signatures. These signatures were
then used with the minimum-distance-to-mean classifier to create a classified
image. The classified image was stratified and the classes were combined or split
further using a knowledge based "cluster busting" method. Refer to the Landcover
Mapping chapter of the FLGap Final Report for detailed description.

MAP PROJECTION PARAMETERS:

Projection                        ALBERS
Units                             METERS
Datum                             HPGN
Spheroid                          GRS1980
1st standard parallel             24   0  0.000
2nd standard parallel             31  30  0.000
Central meridian                 -84   0  0.000
Latitude of projection's origin   24   0  0.000
False easting (meters)            400000.00000
False northing (meters)           0.00000

DATA SOURCES CONTACT(S):

Name: 	Florida Cooperative Fish & Wildlife Research Unit
Abbr.name: FCFWRU
Address: 117 Newins-Ziegler Hall
	 PO Box 110450
	 University of Florida
	 Gainesville, FL 32611
Phone: 	 352-846-0630
Contact Person: Leonard Pearlstine

FGDL CONTACT:

Name:                    Florida Geographic Data Library
Abbr. Name:              FGDL
Address:                 Florida Geographic Data Library
                         431 Architecture
                         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