Abstract
INTENDED AUDIENCE: Current, accurate land cover and change information is a common foundational data set that can be used to address a wide range of management issues, from flooding risk and natural infrastructure to policy evaluation and land use planning. Detailed information related to impervious areas, wetland features, and other cover types can inform endless applications. MAIN USE: For almost two decades, NOAA’s Office for Coastal Management (OCM) has been producing standardized, 30-meter, land cover and change information for the coastal United States through its Coastal Change Analysis Program (C-CAP). More recently, NOAA has been working to establish an operational high resolution (1-meter) land cover product line, bringing the national C-CAP framework to the local level and allowing for more site-specific, local applications. This presentation will discuss the status of current pilot projects within the Gulf of Mexico, the advanced AI Machine and Deep Learning methods used in their creation, highlight the advantages of this more detailed data compared to previous/existing land cover data, and discuss future vision for creating these products in additional geographies. GEOGRAPHY & SCALE: NOAA’s vision is to produce 1-meter land cover products for all the Coastal areas of the U.S., and update these products every 4 to 6 years. Currently, several pilot projects are taking place, including the 6 coastal counties in MS. In addition, 10-meter products have been recently released for all the coastal areas within the Gulf of Mexico (and much of the rest of the country). ACCESSIBILITY: The C-CAP Land Cover data is available within NOAA’s Digital Coast website, which is managed by OCM and can be accessed via https://coast.noaa.gov/digitalcoast/data/ccaphighres.html. A brief overview video can be found at this web address along with background information and technical assistance resources.
