Data Management Plan (Deprecated)

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. The timeframe for this data is 2013. These maps are developed through the automated classification of high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information.

While produced as part of the Coastal Change Analysis Program (C-CAP), these products should not be compared directly to past dates of 30-meter C-CAP to identify change, as there will be vast differences caused by the different methods and the classes mapped.

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Process Steps:

• 2019-08-15 00:00:00 - This dataset was created by NOAA's Ocean Service, Office for Coastal Management Initial Classification: 1m spatial resolution land cover data developed by the Chesapeake Bay Conservancy, University of Vermont Spatial Analysis Laboratory, and The Virginia Geographic Information Network (VGIN) was the starting point for this dataset. This product was developed using a Geographic Object-Based Image Analysis (GEOBIA) processing framework applied to NAIP imagery and Lidar data. This involves taking each image to be classified and grouping the pixels based on spectral and spatial properties into regions of homogeneity called objects. The resulting objects are the primary units for analysis. The original dataset can be downloaded here:https://chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/ Simplification and Resampling: The resulting 1-meter land cover was then resampled to a 10-meter raster. This was done using a 10x10 focal pixel window to compute the percent value associated with either the impervious or tree classes, for each land cover type in the 100 pixel neighborhood around each target pixel, and subsequently performing a nearest neighbor resampling of the resulting values. The output values were then coded to the appropriate percentage (between 0 and 100). This 10-meter raster was resampled a second time, using the average of values within a 3x3 focal pixel window in order to obtain the appropriate values over each 30-meter pixel area. Output values between 0 and 100 represent the appropriate percentage mapped within each pixel. Class 127 identifies areas not included in this mapping, or no data areas.