The LCMAP (Land Change Monitoring, Assessment, and Projection) Hawaii Reference Data Product is an independent collection of land cover class labels at 600 30-meter by 30-meter plots across Hawaii. The land use, land cover, and change process information for each plot was collected annually for 2000–2019.
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. The LCMAP Hawaii Reference Data Product consists of an independent dataset of 600 30-meter by 30-meter plots across Hawaii. The land use, land cover, and change process information for each plot was collected annually for 2000–2019 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 Products are of consistent quality (Pengra et al., 2020).
The LCMAP Hawaii Reference Data Product is packaged in a zipped (.zip) file containing reference data in three formats:
- Tabular (.csv) collection of the LCMAP reference dataset annual attributes (2000–2019) for each of the 600 plots.
- Tabular (.xlsx) collection of the LCMAP reference dataset annual attributes (2000–2019) for each of the 600 plots.
- Vector-format shapefile (.shp) for the LCMAP reference dataset showing individual plot (polygon) location outlines for each of the 600 plots. Annual attributes are not included.
LCMAP Hawaii Reference Data Product Digital Object Identifier (DOI): 10.5066/P9X42T97
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 (EROS) Center.
Pengra, B.W., Stehman, S.V., Horton, J.A., Auch, R.F., Kambly, S., and Taylor, J.L., 2021, LCMAP Hawaii Reference Data Product land cover, land use and change process attributes: U.S. Geological Survey data release, https://doi.org/10.5066/P9X42T97.
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.
Cohen, W.B., Yang, Z., and 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, v. 114, no. 12, p. 2911–2924, at 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., and 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, v. 238, article 111261, at https://doi.org/10.1016/j.rse.2019.111261.
Stehman, S.V., Olofsson, P., Woodcock, C.E., Herold, M., and Friedl, M.A., 2012, A global land-cover validation data set, II—Augmenting a stratified sampling design to estimate accuracy by region and land-cover class: International Journal of Remote Sensing, v. 33, no. 22, p. 6975–6993, at https://doi.org/10.1080/01431161.2012.695092.