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NOAA's Coastal Change Analysis Program (C-CAP) 2001 to 2016 Regional Land Cover Change Data in Florida
2016-10-03T00:00:00
NOAA Office for Coastal Management
NOAA
State of Florida
1
-87.709015
-79.791253
31.227261
24.355832
1999-04-28T00:00:00
2015-11-29T00:00:00
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 2001-2016 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.</SPAN></P></DIV></DIV></DIV>
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.
<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.
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
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CCAP_2016
Table
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CCAP_2016
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
Spatial and Attribute Information
This dataset was created by NOAA's Office for Coastal Management, through the Coastal Change Analysis Program (C-CAP). The data is based upon the post classification comparison of 2001 and 2016 era C-CAP land cover classifications. ERDAS Imagine was used to create a matrix file between the two selected dates of land cover.
2016-10-03T00:00:00
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.
GeoPlan relied on the integrity of the attribute information within the original data.
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