C-CAP Land Cover, Tampa, Florida, 2021

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 through time. The timeframe for this metadata is summer 2021. These maps are developed utilizing high resolution aerial imagery, along with lidar and various available ancillary information, 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.

C-CAP is dedicated to the development, distribution, and application of land cover and change data for the coastal regions of the U.S.

C-CAP data sets are not jurisdictional or intended for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the limits of current technology, NOAA cannot assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. This is a national and regional data set that should be used only as a screening tool for very local or site-specific management decisions. Small features and changes should be verified with a higher-resolution data source.

USE RESTRICTIONS: This land cover data may not be used for the purpose of creating, training, improving, modifying, validating, testing, or evaluating machine learning algorithms, or otherwise leverage the product for the purposes of machine learning for a period of five years from its date of creation.

Attributes for this product are as follows:

0 Background,

1 Unclassified (Cloud, Shadow, etc),

2 Developed Impervious,

3

4 Developed Impervious under Tree Canopy

5 Developed Open Space,

6 Cultivated Land,

7 Pasture/Hay,

8 Grassland,

9

10

11 Upland Tree (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,

Recommended Citation. NOAA Coastal Change Analysis Program (C-CAP) New Orleans Region High Resolution Land Cover Data. Data collected 2017. Charleston, SC: National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management. Data accessed at https://coast.noaa.gov/digitalcoast/data/ccaphighres.html.

5 years

Users must assume responsibility to determine the usability of these data.

None

Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.2.1350

According to the accuracy assessment performed by NOAA Office for Coastal Management staff, the overall accuracy of this product is 89.3%. There were 1089 total points distributed across the study area. The accuracy of each class is as follows (Producer's, User's accuracies):

Impervious (95.4%, 97.2%)

Impervious under Tree Canopy (84.0%, 77.8%)

Open Space Developed (87.6%, 89.3%)

Cultivated (85.5%, 90.4%)

Pasture/Hay (90.6%, 88.5%)

Grassland (72.2%, 79.6%)

Upland Tree (Forest) (93.4%, 87.1%)

Shrub/Scrub (85.5%, 81.0%)

Palustrine Forested Wetland (86.1%, 96.7%)

Palustrine Shrub/Scrub Wetland (91.4%, 71.1%)

Palustrine Emergent Wetland (80.4%, 83.3%)

Estuarine Forested Wetland (90.6%, 96.7%)

Estuarine Shrub/Scrub Wetland (76.5%, 92.9%)

Estuarine Emergent Wetland (93.8%, 83.3%)

Unconsolidated Shore (100%, 50.0%)

Bare Land (100%, 85.7%)

Water (100%, 99.2%)

Palustrine Aquatic Bed (69.2%, 81.8%)

Estuarine Aquatic Bed (N/A, N/A)

Overall accuracy (89.3%)

Points were sampled using a stratified random sampling scheme, with a minimum target sample of 25 points per class. A few of the rarer categories did not meet this minimum threshold or were not sampled at all due to the relatively low total area of those classes. The following categories had fewer than the target 20 point minimum: Estuarine Scrub/Shrub Wetland, Estuarine Emergent Wetland, Unconsolidated Shore, and Palustrine Aquatic Bed. The correct land cover classification was determined through analyst interpretation of the imagery used in creating the map, as well as possible references to GoogleEarth in order to reference additional dates/seasons of imagery for that location. All points were interpreted by two analysts, plus a third who made a final determination when there was disagreement on the call. This analysis allowed for the use of fuzzy designations, or alternate calls to the truth category where that truth call may not have been completely obvious, or where point locations are located so they could possibly be more than one category. 87 of the total 1089 points were counted correct based on the use of that fuzzy call.

Data does not exist for all classes.

There are no pixels representing: class 1 (unclassified), class 9 (Deciduous Forest), 101 (Evergreen Forest), , 24 (Tundra), 25 (Perennial Ice/Snow), 26 (Dwarf Scrub - Alaska specific class), 27 (Sedge/Herbaceous), and 28 (Moss - Alaska specific). Developed classes have been altered to exclude the percentage breakdown of impervious surfaces as the breakdown is not appropriate for high resolution mapping (Developed High Intensity (2), Developed Medium Intensity (3), and Developed Low Intensity (4) are reduced to Impervious (Class 2)).

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.