RAP Cover - 30m - Yearly¶

Description¶
This datasets consists of gridded fractional estimates of plant functional groups for rangelands in the continental United States. The estimates are produced at 30-meter spatial resolution for each year between 1984-present. The six plant functional groups are Annual Forbs and Grasses, Perennial Forbs and Grasses, Shrubs, Trees, Litter, and Bare Ground. Cover values are reported as percentages on a pixel-by-pixel basis. The estimates were produced using a temporal convolutional network using field measures of plant functional groups collected by the Natural Resources Conservation Service Natural Resources Inventory (NRI) program, the Bureau of Land Management Assessment, Inventory, and Monitoring (AIM) program, and the National Park Service Northern Colorado Plateau Network (NCPN) alongside spatially continuous earth observations from Landsat TM, ETM+, and OLI Collection 2.
Climate Engine details¶
- Dataset type
- Remote Sensing
- Climate Engine ID
- RAP_COVER_30m
- Documentation
- https://support.climateengine.org/article/81-rap
Dataset details¶
- Scale
- 30m
- Frequency
- Yearly
- Coverage
- CONUS
- Start year
- 1986
- End year
- Present
Earth Engine collection details¶
- Earth Engine asset
- projects/rap-data-365417/assets/vegetation-cover-v3
- 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-30m-vegetation-cover
| Name | Units |
|---|---|
| Annual Forb and Grass Cover | % |
| Bare Ground Cover | % |
| Litter Cover | % |
| Perennial Forb and Grass Cover | % |
| Shrub Cover | % |
| Tree Cover | % |
References¶
- Allred, B.W., B.T. Bestelmeyer, C.S. Boyd, C. Brown, K.W. Davies, M.C. Duniway, L.M. Ellsworth, T.A. Erickson, S.D. Fuhlendorf, S.D., T.V. Griffiths, V. Jansen, M.O. Jones, J. Karl, A. Knight, J.D. Maestas, J.J. Maynard, S.E. McCord, D.E. Naugle, H.D. Starns, D. Twidwell, and D.R. Uden. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. Methods in Ecology and Evolution https://doi.org/10.1111/2041-210X.13564
Website: https://www.rangelands.app/
Terms of use¶
Public Domain-CC0