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).
Published Mar 25, 2021
The MRLC Consortium, in collaboration with NOAA and the USGS, is pleased to release version 2 of the Enhanced Visualization and Analysis (EVA) tool. This tool provides users with detailed county statistics for any two NLCD landcover dates to support quick and powerful change analyses. This tool was originally developed by NOAA and shared through the consortium with custom adaptations for NLCD.
Published Jun 03, 2021
The NLCD 2019 suite of Conterminous U.S. (CONUS) land cover and impervious products have now been released. This release includes eight epochs of land cover (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019), a 2001 – 2019 land cover change index, and sixteen urban imperviousness datasets - a percent imperviousness and classified imperviousness matching all years of land cover . The NLCD 2019 and 2021 products for tree canopy cover will be released in the next year. RCMAP rangeland fractional component data including a 1985-2020 time-series, projections of future component cover through the 2080s, and Ecological Potential component cover are also currently available.
Published Jun 04, 2021
A new generation of RCMAP fractional component time-series data spanning 1985-2020 are now available for download and on the rangelands viewer. Relative to the prior generation, several key improvements are 1) additional components: perennial herbaceous and non-sagebrush shrub, 2) addition of all available BLM AIM data as training, 3) improved change detection, and 4) better imagery compositing. These factors have led to a ~15% increase in independent accuracy. Additionally, we produce error maps for each component, which reflect model uncertainty. Trends analysis products of the 1985-2020 time-series using both linear and structural change (breaks and stable states) methods will be available by July 2021. While users are encouraged to use the new generation of data, the previous version of the time-series data is archived.