20241123 14061600 1.0 FALSE CCAP_2001.tif file://F:\EST-COMMON-DATA\etdmpy\rasters\CCAP_2001.tif Local Area Network 46618.736599 801028.736599 45850.214205 802060.214205 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Meter (1.000000) NAD_1983_HARN_Florida_GDL_Albers <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>225743210.67916927</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem> 8 TRUE LZW 1 TIFF TRUE discrete unsigned integer 0 20241205 16162200 20241205 17053700 150000000 5000 FGDC dataset 20241205 0.000 Florida Geographic Data Library (FGDL) Jonathan and Melanie Antevy Hall 1480 Inner Road, Room 431 PO Box 115706 Gainesville FL 32611-5706 US https://fgdl.org/info/contact/ None DOWNLOADABLE DATA https://www.fgdl.org/ Raster Dataset Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.52636 NOAA's Coastal Change Analysis Program (C-CAP) 2001 Regional Land Cover Data in Florida 2013-05-21T00:00:00 State of Florida 1 -87.709015 -79.791253 31.227261 24.355832 1999-04-28T00:00:00 2006-05-16T00:00:00 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). <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 2001-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.</SPAN></P></DIV></DIV></DIV> <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None</SPAN></P></DIV></DIV></DIV> 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. NOAA Office for Coastal Management NOAA Office for Coastal Management 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov (843) 740-1202 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) Regional Land Cover Database. Data collected 1995-present. Charleston, SC: National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management. Data accessed at coast.noaa.gov/landcover. Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS. Spatial and Attribute Information C-CAP data sets have always been created using standardized and repeatable methods to ensure consistency across eras of land cover. The 2016 C-CAP land cover update cycle was different from previous approaches. The United States Geological Survey (USGS) produced its National Land Cover Database (NLCD) 2016 update prior to C-CAP updating the coastal areas, in addition to remapping all previous dates of their 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 approach was taken to create new C-CAP land cover data sets, incorporating improvements from the NLCD, adding C-CAP wetland categories, and multiple quality assurance steps to ensure quality. The first step was to normalize the difference between the existing 2010 C-CAP and new NLCD 2010 land cover. Areas of difference were examined to identify improvements to be kept, and areas which need additional work. Logic models were initially used to keep the best features from NLCD. Areas needing improvement were isolated and modeled through a series of object-based processing, spectral analysis, and finally hand-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 then modeled through a similar approach to the 2010 land cover (logic models, object-based processing, spectral analysis, and hand-edits). These steps resulted in a finalized 2006 land cover. A similar approach was used to create the 2001 and 1996 land cover. The 1996 land cover did not have a corresponding NLCD date, thus possible change areas were identified through using only the original C-CAP 1996-2001 change.</description> 2020-03-01T00:00:00 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. Class 1 (Unclassified) is intentionally left blank. All pixels have been classified. Unknown This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan. This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan. 0 2 1 0 46618.736599 45850.214205 46618.736599 802060.214205 801028.736599 802060.214205 801028.736599 45850.214205 423823.736599 423955.214205 25147 30.000000 25207 30.000000 EPSG 6.12(9.2.0) Band_1 23.000000 2.000000 8 False False False False False CCAP_2001.tif Table 22 OID OID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Value Integer 10 10 0 Pixel value that corresponds to the numeric code for each land cover class Count Count Double 19 0 0 Count of values Red Red Integer 10 10 0 Red value Green Green Integer 10 10 0 Green value Blue Blue Integer 10 10 0 Blue value Opacity Opacity Integer 10 10 0 Indicates the transparency level DESCRIPT DESCRIPT String 50 0 0 GeoPlan added description based on the value GeoPlan