Use the interface below to filter and download available NLCD products. Click (here) for NLCD Science Research Products which offer more comprehensive delineation of shrub and grass classes and information about change disturbance. For access to dynamic MRLC viewer applications and tools, click (here).
NLCD tree canopy cover is a 30 m raster geospatial dataset that is available for the conterminous United States, coastal Alaska, Hawaii, and Puerto Rico. These data contain percent tree canopy estimates, as a continuous variable, for each pixel across all land covers and types and are generated by the United States Forest Service (USFS). The USFS derives tree canopy cover from multi-spectral Landsat imagery and other available ground and ancillary information. 2011 and 2016 Forest canopy products are available for the Continental United States, coastal Alaska, Hawaii, and Puerto Rico. (Read More)
RCMAP - Time-Series - Error
The RCMAP product suite includes eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush and shrub, rule-based error maps, and the temporal trends of each. Data characterize the percentage of each 30-meter pixel in the Western United States covered by each component for each year from 1985-2020 - providing change information for 35 years (imagery for 2012 was unavailable). Because of file size limitations, individual component products are packaged in three historic intervals including 1985-1995, 1996-2006, and 2007-2020. (Read More)
Rangeland Ecological Potential - Component Cover, Cover Departure, and Vegetation States. Ecological Potential rangeland fractional cover data products represent the potential cover given the most productive, least disturbed, portion of the 1985-2020 Landsat archive. Models used to predict Ecological Potential cover were trained on ecologically intact sites where annual herbaceous cover is low, no known disturbance or land treatment has occurred over the study period, and bare ground cover is relatively lower than expectations (Read More)