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RAP Cover - 10m - Yearly

RAP Cover - 10m - Yearly

Description

RAP Vegetation Cover 10m provides gridded annual estimates of plant functional group cover classes across rangelands in the western United States. Estimates span 2018-present and are produced at a 10-meter spatial resolution using top-of-atmosphere Sentinel-2 reflectance and a one-dimensional convolutional neural network (1D CNN). The model was trained on 47,833 field plots collected via the Natural Resource Conservation Services' Natural Resources Inventory (NRI), Bureau of Land Management's Assessment, Inventory, and Monitoring (AIM) program, National Park Service, and other contributors. The dataset includes fractional cover for 10 plant functional groups and land cover types-Annual Forbs and Grasses, Perennial Forbs and Grasses, Shrubs, Trees, Litter, Bare Ground, Invasive Annual Grasses, Sagebrush, Pinyon-Juniper. Predictions were made using temporally segmented and log-normalized Sentinel-2 reflectance, spatial coordinates, and derived vegetation indices (NDVI, NBR2). The model demonstrated strong predictive performance and showed slight improvements when compared with 30-m Landsat-based vegetation cover estimates by capturing finer-scale spatiotemporal heterogeneity critical to modeling rangeland ecosystems. Output is provided as annual 10 m GeoTIFFs available and as Google Earth Engine assets.

Climate Engine details

Dataset type
Remote Sensing
Climate Engine ID
RAP_COVER_10m
Documentation
https://support.climateengine.org/article/181-rap-10m

Dataset details

Scale
10m
Frequency
Yearly
Coverage
CONUS
Start year
2018
End year
Present

Earth Engine collection details

Earth Engine asset
projects/rap-data-365417/assets/vegetation-cover-10m
Earth Engine asset URL
https://gee-community-catalog.org/projects/rap/?h=rangela
Earth Engine source catalog
Awesome GEE Community Catalog

Variables

API variable docs: #rap-10m-vegetation-cover

Name Units
Annual Forb and Grass Cover %
Bare Ground Cover %
Invasive Annual Grass Cover %
Litter Cover %
Perennial Forb and Grass Cover %
Pinyon-Juniper Cover %
Sagebrush Cover %
Shrub Cover %
Tree Cover %

References

  1. Allred, B. W., McCord, S. E., Assal, T. J., Bestelmeyer, B. T., Boyd, C. S., Brooks, A. C., Cady, S. M., Fuhlendorf, S. D., Green, S. A., Harrison, G. R., Jensen, E. R., Kachergis, E. J., Mattilio, C. M., Mealor, B. A., Naugle, D. E., O'Leary, D., Olsoy, P. J., Peirce, E. S., Reinhardt, J. R., Shriver, R. K., Smith, J. T., Tack, J. D., Tanner, A. M., Tanner, E. P., Twidwell, D., Webb, N. P., & Morford, S. L. (2025). Estimating rangeland fractional cover and canopy gap size class with Sentinel-2 imagery. bioRxiv. https://doi.org/10.1101/2025.03.13.643073

Website: https://www.rangelands.app/

Terms of use

Public Domain-CC0