Data

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).

 

Exotic Annual Grass

The Exotic Annual Grass (EAG) abundance dataset provides early season percent cover estimate of the exotic grass species in 30m spatial resolution for a mapped year in rangeland ecosystems of western United States. We plan to release these EAG estimates multiple times each year in early growing season. EAG is a continuous field consisting of abundance of non-native grass species whose life history is complete in one growing season. Cheatgrass (Bromus tectorum) is a dominant species, but this dataset also includes Bromus arvensis L., Bromus briziformis Fisch. & C.A. Mey. Bromus catharticus Vahl, Bromus commutatus Schrad, Bromus diandrus Roth, Bromus hordeaceus L., Bromus hordeaceus spp. Hordeaceus, Bromus japonicus Thunb, Bromus madritensis L., Bromus madritensis L. ssp. rubens (L.) Duvin, Bromus racemosus L., Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc, and medusahead (Taeniatherum caput-medusae (L.) Nevski). A main objective of releasing these maps is to provide a tool for better monitoring EAG dynamics and informing conservation and management efforts at local to regional scales.  (Read More)

Exotic Annual Grass Percent Cover - July 01, 2022

Western U.S. | 2022

Exotic Annual Grass Confidence Level - July 01, 2022

Western U.S. | 2022

Exotic Annual Grass Percent Cover - June 15, 2022

Western U.S. | 2022

Exotic Annual Grass Confidence Level - June 15, 2022

Western U.S. | 2022

Exotic Annual Grass Percent Cover - June 03, 2022

Western U.S. | 2022

Exotic Annual Grass Confidence Level - June 03, 2022

Western U.S. | 2022

Exotic Annual Grass Percent Cover - May 18, 2022

Western U.S. | 2022

Exotic Annual Grass Confidence Level - May 18, 2022

Western U.S. | 2022

Exotic Annual Grass Percent Cover - May 06, 2022

Western U.S. | 2022

Exotic Annual Grass Confidence Level - May 06, 2022

Western U.S. | 2022

Exotic Annual Grass Percent Cover - July 2021

Western U.S. | 2021

Exotic Annual Grass Confidence Level - July 2021

Western U.S. | 2021

Exotic Annual Grass Percent Cover - May 2021

Western U.S. | 2021

Exotic Annual Grass Confidence Level - May 2021

Western U.S. | 2021

Tree Canopy

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)

NLCD 2016 USFS Tree Canopy Cover (CONUS)

CONUS | 2016

NLCD USFS Tree Canopy Change (CONUS)

CONUS | 2011, 2016

NLCD 2011 USFS Tree Canopy Cover (CONUS)

CONUS | 2011

RCMAP - Time-Series - Trends

The RCMAP product suite consists of 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. Trend analysis for each component is also available as a zip file for the full 1985-2020 period to help users understand the magnitude of change. (Read More)

Break Point Presence/Absence in Each Year Annual Herbaceous

Western U.S. | Time Series Trends

Break Point Presence/Absence in Each Year Bare Ground

Western U.S. | Time Series Trends

Break Point Presence/Absence in Each Year Herbaceous

Western U.S. | Time Series Trends

Break Point Presence/Absence in Each Year Litter

Western U.S. | Time Series Trends

Break Point Presence/Absence in Each Year Non Sagebrush Shrub

Western U.S. | Time Series Trends

Break Point Presence/Absence in Each Year Perennial Herbaceous

Western U.S. | Time Series Trends

Break Point Presence/Absence in Each Year Sagebrush

Western U.S. | Time Series Trends

Break Point Presence/Absence in Each Year Shrub

Western U.S. | Time Series Trends

Break Point Count

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Annual Herbaceous

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Bare Ground

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Herbaceous

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Litter

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Non Sagebrush Shrub

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Perennial Herbaceous

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Sagebrush

Western U.S. | Time Series Trends

P-Value of Segment in Each Year Shrub

Western U.S. | Time Series Trends

P-Value of Linear Model

Western U.S. | Time Series Trends

R Squared of Overall Structural Breaks Model

Western U.S. | Time Series Trends

Slope of Linear Model

Western U.S. | Time Series Trends

Slope of Segment in Each Year Annual Herbaceous

Western U.S. | Time Series Trends

Slope of Segment in Each Year Bare Ground

Western U.S. | Time Series Trends

Slope of Segment in Each Year Herbaceous

Western U.S. | Time Series Trends

Slope of Segment in Each Year Litter

Western U.S. | Time Series Trends

Slope of Segment in Each Year Non Sagebrush Shrub

Western U.S. | Time Series Trends

Slope of Segment in Each Year Perennial Herbaceous

Western U.S. | Time Series Trends

Slope of Segment in Each Year Sagebrush

Western U.S. | Time Series Trends

Slope of Segment in Each Year Shrub

Western U.S. | Time Series Trends

Total Change Intensity Index

Western U.S. | Time Series Trends

Year of Most Recent Break

Western U.S. | Time Series Trends

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)

RCMAP Annual Herbaceous Cover Rule-Based Error

Western U.S. | 2009-2020

RCMAP Bare Ground Cover Rule-Based Error

Western U.S. | 2009-2020

RCMAP Litter Cover Rule-Based Error

Western U.S. | 2009-2020

RCMAP Sagebrush Cover Rule-Based Error

Western U.S. | 2009-2020

RCMAP Shrub Cover Rule-Based Error

Western U.S. | 2009-2020

RCMAP Annual Herbaceous Cover Rule-Based Error

Western U.S. | 1997-2008

RCMAP Bare Ground Cover Rule-Based Error

Western U.S. | 1997-2008

RCMAP Herbaceous Cover Rule-Based Error

Western U.S. | 1997-2008

RCMAP Litter Cover Rule-Based Error

Western U.S. | 1997-2008

RCMAP Sagebrush Cover Rule-Based Error

Western U.S. | 1997-2008

RCMAP Shrub Cover Rule-Based Error

Western U.S. | 1997-2008

RCMAP Annual Herbaceous Cover Rule-Based Error

Western U.S. | 1985-1996

RCMAP Bare Ground Cover Rule-Based Error

Western U.S. | 1985-1996

RCMAP Herbaceous Cover Rule-Based Error

Western U.S. | 1985-1996

RCMAP Litter Cover Rule-Based Error

Western U.S. | 1985-1996

RCMAP Sagebrush Cover Rule-Based Error

Western U.S. | 1985-1996

RCMAP Shrub Cover Rule-Based Error

Western U.S. | 1985-1996