Land Change Monitoring, Assessment, and Projection (LCMAP)

LCMAP Reference Data Product Page

The LCMAP (Land Change Monitoring Assessment and Projection) Reference Data Product is an independent collection of land cover class labels at 25,000 randomly selected 30-meter by 30-meter plots across the conterminous United States (CONUS). The land use, land cover, and change process information for each plot was collected annually for 1984–2018.

A critical component of the LCMAP initiative is the collection of an independent reference dataset of land cover class labels used for the evaluation and validation of the LCMAP Science Products and for estimating land cover class composition for CONUS. The LCMAP Reference Data Product consists of an independent dataset of 25,000 randomly distributed 30-meter by 30-meter plots across CONUS. The land use, land cover, and change process information for each plot was collected annually for 1984–2018 using the TimeSync tool, a web-based interface for manually interpreting and recording land cover from the Landsat dataset (Cohen et al., 2010). Manual interpretation of Landsat data was supplemented with fine resolution imagery and other ancillary data. Various quality assurance and quality control (QA/QC) processes were developed and implemented to ensure that the LCMAP Reference Data Product is of consistent quality (Pengra et al., 2020). The initial collection effort involved 1984–2016, with 2017 and 2018 data collected later. For more information on the reference data collection process, see Pengra et al., 2020.

Color graphic of LCMAP Reference Data Plots Distribution Across CONUS

LCMAP reference sample distribution across CONUS on simulated background.

Product Contents

The LCMAP Reference Data Product is packaged in a zipped file containing reference data in three formats:

  • Tabular (.csv) collection of the LCMAP reference dataset annual attributes (1984 –2018) for each of the 25,000 plots.
  • Tabular (.xlsx) collection of the LCMAP reference dataset annual attributes (1984 –2018) for each of the 25,000 plots.
  • Vector-format shapefile (.shp) for the LCMAP reference dataset showing individual plot (polygon) location outlines for each of the 25,000 plots.  Annual attributes are not included.

Data Access

LCMAP Reference Data Product is accessible through the USGS Science Data Catalog and USGS Science Base

Documentation

LCMAP Reference Data Product Guide

Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program

A global land-cover validation data set, II: augmenting a stratified sampling design to estimate accuracy by region and land-cover class

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation

LCMAP Reference Data Product 1984 – 2018 Digital Object Identifier (DOI): doi:10.5066/P9ZWOXJ7

Citation Information

There are no restrictions on the use of the LCMAP Reference Data Products. It is not a requirement of data use, but the following citation may be used in publication or presentation materials to acknowledge the USGS as a data source and to credit the original research.

LCMAP Reference Data products courtesy of the U.S. Geological Survey Earth Resources Observation and Science Center.

Pengra, B. W., Stehman, S. V., Horton, J. A., Dockter, D. J., Schroeder, T. A., Yang, Z., Hernandez, A. J., Healey, S. P., Cohen, W. B., Finco, M. V., Gay, C., Houseman, I. W. (2020). LCMAP Reference Data Product 1984-2018 land cover, land use and change process attributes: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZWOXJ7

Reprints or citations of papers or oral presentations based on USGS data are welcome to help the USGS stay informed of how data are being used.

References

Cohen, W. B., Yang, Z., & Kennedy, R. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation. Remote Sensing of Environment, 114(12), 2911-2924. https://doi.org/10.1016/j.rse.2010.07.010

Pengra, B. W., Stehman, S. V., Horton, J. A., Dockter, D. J., Schroeder, T. A., Yang, Z., Cohen, W. B., Healey, S. P., Loveland, T. R. (2020). Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program. Remote Sensing of Environment, 238, 111261. https://doi.org/10.1016/j.rse.2019.111261