Data
Find and download NLCD data as prepackaged data types and years. If you want to interactively view and choose your own download geography and data, go here (viewer).
Land Cover
The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at a 30m resolution with a 16-class legend based on a modified Anderson Level II classification system. NLCD 2016 represents the latest evolution of NLCD land cover products focused on providing innovative land cover and land cover change data for the Nation. NLCD 2016 offers 7 integrated epochs of land cover for years 2001, 2003, 2006, 2008, 2011, 2013, and 2016. Developed classes in these years are directly derived from and updated following the impervious surface cycle. These products update all previously released versions of landcover products for CONUS (NLCD 2001, NLCD 2006, NLCD 2011). New for NLCD 2016 is the NLCD Land Cover Change Index. The NLCD Land Cover change index provides a simple and comprehensive way to visualize change from all 7 dates of land cover in a single layer. The change index was designed to assist NLCD users to understand complex land cover change with a single product. NLCD 2016 does not yet contain updated products for Alaska, Hawaii and Puerto Rico. (Read More)
NOAA 2005 to 2011 High Resolution Land Cover Change (HAWAII)
Islands & Territories | 2005, 2011
Urban Imperviousness
NLCD imperviousness products represent urban impervious surfaces as a percentage of developed surface over every 30-meter pixel in the United States. NLCD 2016 updates all previously released versions of impervious products for CONUS (NLCD 2001, NLCD 2006, NLCD 2011) along with a new date of impervious surface for 2016. New for NLCD 2016 is an impervious surface descriptor layer. This descriptor layer identifies types of roads, core urban areas, and energy production sites for each impervious pixel to allow deeper analysis of developed features. No new imperviousness products for Alaska, Hawaii and Puerto Rico are available from NLCD 2016. (Read More)
