Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) 20130521 Raster Digital Data Set Charleston SC NOAA's Ocean Service, Coastal Services Center (CSC) State of Florida https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=1470 The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 2016-Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era. These maps are developed utilizing Landsat Thematic Mapper imagery, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database C-CAP is dedicated to the development, distribution, and application of land cover and change data for the coastal regions of the U.S. This effort is being conducted in close coordination with state coastal management agencies, the interagency Multi- Resolution Land Characteristics (MRLC) consortium, and the National Land Cover Database (NLCD). Attributes for this product are as follows: 0 Background, 1 Unclassified (Cloud, Shadow, etc), 2 High Intensity Developed, 3 Medium Intensity Developed, 4 Low Intensity Developed, 5 Developed Open Space, 6 Cultivated Land, 7 Pasture/Hay, 8 Grassland, 9 Deciduous Forest, 10 Evergreen Forest, 11 Mixed Forest, 12 Scrub/Shrub, 13 Palustrine Forested Wetland, 14 Palustrine Scrub/Shrub Wetland, 15 Palustrine Emergent Wetland, 16 Estuarine Forested Wetland, 17 Estuarine Scrub/Shrub Wetland, 18 Estuarine Emergent Wetland, 19 Unconsolidated Shore, 20 Bare Land, 21 Open Water, 22 Palustrine Aquatic Bed, 23 Estuarine Aquatic Bed, 24 Tundra, 25 Snow/Ice, Recommended Citation. NOAA Coastal Change Analysis Program (C-CAP) RegionalLand Cover Database. Data collected 1995-present. Charleston, SC: National Oceanicand Atmospheric Administration (NOAA) Office for Coastal Management. Data ac-cessed at coast.noaa.gov/landcover. 20130521 publication date Complete As needed -87.674264 -79.777223 31.071754 24.324710 ISO 19115 Topic Category utilitiesCommunication None Land Cover Analysis Remotely Sensed Imagery/Photos Change Detection Analysis None imageryBaseMapsEarthCover None U.S. Florida Region Coastal Zone None Data set is not for use in litigation. While efforts have been made to ensure that thesedata are accurate and reliable, NOAA, cannot assume liability for any damages, or mis-representations, caused by any inaccuracies in the data. NOAA makes no warranty, ex-pressed or implied, nor does the fact of distribution constitute such a warranty. NOAA Office for Coastal Management Metadata Specialist mailing and physical

2234 South Hobson Avenue

Charleston SC 29405-2413 843-740-1202 n/a coastal.info@noaa.gov Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 GeoPlan relied on the integrity of the attribute information within the original data. Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent. Data does not exist for all classes. There are no pixels representing class 24 (Tundra) and class 25 (Snow/Ice). Class 1 (Unclassified) is intentionally left blank. All pixels have been classified. The NOAA Coastal Change Analysis Program (C- CAP): Guidance for Regional Implementation, NOAA National Marine Fisheries Service Report 123, discusses the interagency effort to develop the land cover classification scheme and defines all categories. Landsat scenes were geo-referenced by Eros Data Center. Spatial accuracy assessed by Photo Science, Inc is found to be to within 2 pixels accuracy. No vertical reference for this data. Photo Science, Inc. 20131115 map Charleston SC NOAA Coastal Services Center http://www.csc.noaa.gov/landcover 0 None 20131115 Date of the Landsat scenes NOAA CSC Spatial and Attribute Information C-CAP data sets have always been created using standardized and repeatable meth-ods to ensure consistency across eras of land cover. The 2016 C-CAP land cover up-date cycle was different from previous approaches. The United States GeologicalSurvey (USGS) produced its National Land Cover Database (NLCD) 2016 update priorto C-CAP updating the coastal areas, in addition to remapping all previous dates oftheir land cover. There were significant changes made to all dates of NLCD land cover,resulting corresponding differences to existing C-CAP data holdings. A multi-step ap-proach was taken to create new C-CAP land cover data sets, incorporating improve-ments from the NLCD, adding C-CAP wetland categories, and multiple quality assur-ance steps to ensure quality. The first step was to normalize the difference between the existing 2010 C-CAP andnew NLCD 2010 land cover. Areas of difference were examined to identify improve-ments to be kept, and areas which need additional work. Logic models were initiallyused to keep the best features from NLCD. Areas needing improvement were isolatedand modeled through a series of object-based processing, spectral analysis, and finallyhand-edits. The end result was a new 2010 C-CAP land cover product. Areas of possible change to 2006 were then identified by combining NLCD changes(2006-2010) and C-CAP changes (2006-2010). These possible change areas were thenmodeled through a similar approach to the 2010 land cover (logic models, object-based processing, spectral analysis, and hand-edits). These steps resulted in a final-ized 2006 land cover. A similar approach was used to create the 2001 and 1996 landcover. The 1996 land cover did not have a corresponding NLCD date, thus possiblechange areas were identified through using only the original C-CAP 1996-2001 change. The 2016 C-CAP update was produced in a similar manner as the 1996 C-CAP, with thedifference being the only potential change map came from the NLCD 2010-2016.These area of potential change were then modeled in a similar manner. Ancillary dataincluding the National Wetland Inventory data and a 30m C-CAP beta product wereused to assist final editing. NOAA 20200301 GeoPlan downloaded data on 12/9/21, from: https://coast.noaa.gov/digitalcoast/data/ GeoPlan created metadata for this layer based on this pdf: https://www.fisheries.noaa.gov/inport/item/48336 GeoPlan performed the following processing steps: downloaded national dataset subset to CH_NMFS_EXTENT reprojected to EPSG=3087 subset to dissolved FLBND (+2 mile buffer) GeoPlan 20211215 Raster Grid Cell 24745 25118 1 NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.000000004429812072714868 0.000000004429812072714868 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 CCAP_2016 CCAP_2010 unknown OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. VALUE Landcover Classification as determined by NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS (National Marine Fisheries Service) 123, U.S. Department of Commerce, April 1995 1 Unclassified This class contains no data due to cloud conditions or data voids. N/A 2 High Intensity Developed Contains little or no vegetation. This subclass includes heavily built-up urban centers as well as large constructed surfaces in suburban and rural areas. Large buildings (such as multiple family housing, hangars, and large barns), interstate highways, and runways typically fall into this subclass. Impervious surfaces account for 80-100 percent of the total cover. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 3 Medium Intensity Developed Contains substantial amounts of constructed surface mixed with substantial amounts of vegetated surface. Small buildings (such as single family housing, farm outbuildings, and large sheds), typically fall into this subclass. Impervious surfaces account for 50-79 percent of the total cover. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 4 Low Intensity Developed Contains constructed surface mixed with vegetated surface. This class includes features seen class 3, with the addition of streets and roads with associated trees and grasses. Impervious surfaces account for 21-49 percent of the total cover. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 5 Developed Open Space Includes areas with a mixture of some constructed materials, but mostly vegetation in the form of lawn grasses. This subclass includes parks, lawns, athletic fields, golf courses, and natural grasses occurring around airports and industrial sites. Impervious surfaces account for less than 20 percent of total cover. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 6 Cultivated Land Includes herbaceous (cropland) and woody (e.g., orchards, nurseries, and vineyards) cultivated lands. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 7 Pasture/Hay Characterized by grasses, legumes or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 8 Grassland Dominated by naturally occurring grasses and non-grasses (forbs) that are not fertilized, cut, tilled, or planted regularly. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 9 Deciduous Forest Includes areas dominated by single stemmed, woody vegetation unbranched 0.6 to 1 meter above the ground and having a height greater than 5 meters and cover more than 20% of land area. More than 75 percent of the tree species shed foliage simultaneous in response to seasonal change. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 10 Evergreen Forest Includes areas in which more than 67 percent of the trees remain green throughout the year. Both coniferous and broad-leaved evergreens are included in this category. Trees must be taller than 5 meters and more than 20% of the land cover. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 11 Mixed Forest Contains all forested areas in which both evergreen and deciduous trees are growing and neither predominate. Trees must be taller than 5 meters and more than 20% of the land cover. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 12 Scrub/Shrub Areas dominated by woody vegetation less than 5 meters in height. This class includes true shrubs, young trees, and trees or shrubs that are small or stunted because of environmental conditions. Includes both evergreen and deciduous scrub. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 13 Palustrine Forested Wetland Includes all non-tidal wetlands dominated by woody vegetation greater than or equal to 5 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is below 0.5 parts per thousand (ppt). Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 14 Palustrine Scrub/Shrub Wetland Includes all non-tidal wetlands dominated by woody vegetation less than or equal to 5 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is below 0.5 ppt. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 15 Palustrine Emergent Wetland Includes all non-tidal wetlands dominated by persistent emergents, emergent mosses, or lichens, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is below 0.5 ppt. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 16 Estuarine Forest Wetland Includes all tidal wetlands dominated by woody vegetation greater than or equal to 5 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is above 0.5 parts per thousand (ppt). Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 17 Estuarine Scrub/Shrub Wetland Includes all tidal wetlands dominated by woody vegetation less than or equal to 5 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is above 0.5 ppt. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 18 Estuarine Emergent Wetland Characterized by erect, rooted, herbaceous hydrophytes (excluding mosses and lichens) that are present for most of the growing season in most years. Perennial plants usually dominate these wetlands. All water regimes are included except those that are subtidal and irregularly exposed. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 19 Unconsolidated Shore Characterized by substrates lacking vegetation except for pioneering plants that become established during brief periods when growing conditions are favorable. Erosion and deposition by waves and currents produce a number of landforms, such as beaches, bars, and flats, all of which are included in this class. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 20 Bare Land Composed of bare soil, rock, sand, silt, gravel, or other earthen material with little or no vegetation. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 21 Open Water Includes all areas of open water with less than 25 percent cover of vegetation or soil. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 22 Palustrine Aquatic Bed Includes wetlands and deepwater habitats dominated by plants that grow principally on or below the surface of the water for most of the growing season in most years. Salinity due to ocean-derived salts is below 0.5 ppt. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 23 Estuarine Aquatic Bed Includes widespread and diverse Algal Beds in the Marine and Estuarine Systems, where they occupy substrates characterized by a wide range of sediment depths and textures. They occur in both the Subtidal and Intertidal Subsystems and may grow to depths of 30 m (98 feet). This includes kelp forests. Salinity due to ocean-derived salts is equal to or above 0.5 ppt. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 24 Tundra Includes treeless cover beyond the latitudinal limit of the boreal forest in pole-ward regions and above the elevation range of the boreal forest in high mountains. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. 25 Snow/Ice Includes persistent snow and ice that persist for greater portions of the year. Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995. COUNT Count of cells with same value GeoPlan Florida Geographic Data Library (FGDL) mailing

431 Architecture PO Box 115706

Gainesville Florida 32611-5706 US FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html DOWNLOADABLE DATA 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 Raster Digital Data Set none This data is intended for use with a Geographic Information Systems or Remote Sensing software package. 20211215 20131115 NOAA Coastal Services Center Metadata Specialist Metadata Specialist mailing and physical

2234 S Hobson Ave.

Charleston SC 29405 US 843-740-1210 843-740-1224 csc@noaa.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time Metadata Specialist NOAA Coastal Services Center Metadata Specialist 843-740-1210 843-740-1224 2234 S Hobson Ave. Charleston SC 29405 US csc@noaa.gov 20211215 ArcGIS Metadata 1.0 Florida Geographic Data Library (FGDL) 431 Architecture PO Box 115706 Gainesville Florida 32611-5706 US FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html none Raster Digital Data Set This data is intended for use with a Geographic Information Systems or Remote Sensing software package. DOWNLOADABLE DATA https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=1470 NOAA's Coastal Change Analysis Program (C-CAP) 2016 Regional Land Cover Data - Florida 2013-05-21 Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) NOAA's Ocean Service, Coastal Services Center (CSC) Charleston SC Raster Digital Data Set State of Florida The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 2016-Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era. These maps are developed utilizing Landsat Thematic Mapper imagery, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database C-CAP is dedicated to the development, distribution, and application of land cover and change data for the coastal regions of the U.S. This effort is being conducted in close coordination with state coastal management agencies, the interagency Multi- Resolution Land Characteristics (MRLC) consortium, and the National Land Cover Database (NLCD). NOAA Office for Coastal Management Metadata Specialist 843-740-1202 n/a 2234 South Hobson Avenue Charleston SC 29405-2413 coastal.info@noaa.gov U.S. Florida Region Coastal Zone utilitiesCommunication ISO 19115 Topic Category Land Cover Analysis Remotely Sensed Imagery/Photos Change Detection Analysis imageryBaseMapsEarthCover U.S. Florida Region Land Cover Analysis imageryBaseMapsEarthCover Coastal Zone Remotely Sensed Imagery/Photos utilitiesCommunication Change Detection Analysis 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 Data set is not for use in litigation. While efforts have been made to ensure that thesedata are accurate and reliable, NOAA, cannot assume liability for any damages, or mis-representations, caused by any inaccuracies in the data. NOAA makes no warranty, ex-pressed or implied, nor does the fact of distribution constitute such a warranty. Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 -87.674264 -79.777223 24.32471 31.071754 publication date 2013-05-21 Attributes for this product are as follows: 0 Background, 1 Unclassified (Cloud, Shadow, etc), 2 High Intensity Developed, 3 Medium Intensity Developed, 4 Low Intensity Developed, 5 Developed Open Space, 6 Cultivated Land, 7 Pasture/Hay, 8 Grassland, 9 Deciduous Forest, 10 Evergreen Forest, 11 Mixed Forest, 12 Scrub/Shrub, 13 Palustrine Forested Wetland, 14 Palustrine Scrub/Shrub Wetland, 15 Palustrine Emergent Wetland, 16 Estuarine Forested Wetland, 17 Estuarine Scrub/Shrub Wetland, 18 Estuarine Emergent Wetland, 19 Unconsolidated Shore, 20 Bare Land, 21 Open Water, 22 Palustrine Aquatic Bed, 23 Estuarine Aquatic Bed, 24 Tundra, 25 Snow/Ice, Recommended Citation. NOAA Coastal Change Analysis Program (C-CAP) RegionalLand Cover Database. Data collected 1995-present. Charleston, SC: National Oceanicand Atmospheric Administration (NOAA) Office for Coastal Management. Data ac-cessed at coast.noaa.gov/landcover. Last metadata review date: 20131115 Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent. Data does not exist for all classes. There are no pixels representing class 24 (Tundra) and class 25 (Snow/Ice). Class 1 (Unclassified) is intentionally left blank. All pixels have been classified. The NOAA Coastal Change Analysis Program (C- CAP): Guidance for Regional Implementation, NOAA National Marine Fisheries Service Report 123, discusses the interagency effort to develop the land cover classification scheme and defines all categories. GeoPlan relied on the integrity of the attribute information within the original data. Landsat scenes were geo-referenced by Eros Data Center. Spatial accuracy assessed by Photo Science, Inc is found to be to within 2 pixels accuracy. No vertical reference for this data. GeoPlan downloaded data on 12/9/21, from: https://coast.noaa.gov/digitalcoast/data/ GeoPlan created metadata for this layer based on this pdf: https://www.fisheries.noaa.gov/inport/item/48336 GeoPlan performed the following processing steps: downloaded national dataset subset to CH_NMFS_EXTENT reprojected to EPSG=3087 subset to dissolved FLBND (+2 mile buffer) 2021-12-15 GeoPlan C-CAP data sets have always been created using standardized and repeatable meth-ods to ensure consistency across eras of land cover. The 2016 C-CAP land cover up-date cycle was different from previous approaches. The United States GeologicalSurvey (USGS) produced its National Land Cover Database (NLCD) 2016 update priorto C-CAP updating the coastal areas, in addition to remapping all previous dates oftheir land cover. There were significant changes made to all dates of NLCD land cover,resulting corresponding differences to existing C-CAP data holdings. A multi-step ap-proach was taken to create new C-CAP land cover data sets, incorporating improve-ments from the NLCD, adding C-CAP wetland categories, and multiple quality assur-ance steps to ensure quality. The first step was to normalize the difference between the existing 2010 C-CAP andnew NLCD 2010 land cover. Areas of difference were examined to identify improve-ments to be kept, and areas which need additional work. Logic models were initiallyused to keep the best features from NLCD. Areas needing improvement were isolatedand modeled through a series of object-based processing, spectral analysis, and finallyhand-edits. The end result was a new 2010 C-CAP land cover product. Areas of possible change to 2006 were then identified by combining NLCD changes(2006-2010) and C-CAP changes (2006-2010). These possible change areas were thenmodeled through a similar approach to the 2010 land cover (logic models, object-based processing, spectral analysis, and hand-edits). These steps resulted in a final-ized 2006 land cover. A similar approach was used to create the 2001 and 1996 landcover. The 1996 land cover did not have a corresponding NLCD date, thus possiblechange areas were identified through using only the original C-CAP 1996-2001 change. The 2016 C-CAP update was produced in a similar manner as the 1996 C-CAP, with thedifference being the only potential change map came from the NLCD 2010-2016.These area of potential change were then modeled in a similar manner. Ancillary dataincluding the National Wetland Inventory data and a 30m C-CAP beta product wereused to assist final editing. 2020-03-01 NOAA Spatial and Attribute Information 0 C-CAP Florida 2016-Era Land Cover Classification NOAA CSC 2013-11-15 NOAA Coastal Services Center Charleston SC Photo Science, Inc. map http://www.csc.noaa.gov/landcover Date of the Landsat scenes 2013-11-15 2 24745 25118 1 20211215 16212300 1.0 original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ RGVwYXJ0bWVudCBvZiBDb21tZXJjZSAoRE9DKSwgTmF0aW9uYWwgT2NlYW5pYyBhbmQgQXRtb3Nw aGVyaWMgQWRtaW5pc3RyYXRpb24gKE5PQUEpLCBOYXRpb25hbCBPY2VhbiBTZXJ2aWNlIChOT1Mp LCBDb2FzdGFsIFNlcnZpY2VzIENlbnRlciAoQ1NDKTwvb3JpZ2luPg0KICAgICAgICA8cHViZGF0 ZT4yMDEzMDUyMTwvcHViZGF0ZT4NCiAgICAgICAgPHRpdGxlPk5PQUEncyBDb2FzdGFsIENoYW5n ZSBBbmFseXNpcyBQcm9ncmFtIChDLUNBUCkgMjAxNiBSZWdpb25hbCBMYW5kIENvdmVyIERhdGEg 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