Return to search results
💡 Advanced Search Tip
Search by organization or tag to find related datasets
Predicted Total and Proportion Grassland Loss (2019-2038)
These rasters represent landscape-scale (i.e., 3.6 x 3.6 km window) predictions of unprotected grassland loss (i.e., grass, shrub, herbaceous wetland cover) from 2019-2038 at 270 m resolution for the contiguous US. Each 270 m pixel value is a grassland loss prediction for the 3.6 x 3.6 km area around the pixel. These were generated by training random forest regression models by relating unprotected grassland loss from 2001-2019 to a suite of covariates from ~2001, and then applying these models to updated surface data ~2019 to make loss predictions for the period of 2019-2038. We developed models for two loss metrics:
1- Total loss – predictions represent ha unprotected grass loss per 3.6 x 3.6 km area around each pixel
2- Proportion loss – predictions represent the amount of unprotected grass lost out of what was available to be lost per 3.6 x 3.6 km area around each pixel
See the included README document for more information.
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/28c8d4528fc9f9cd2a0d95f6011db37a |
|---|---|
| bureauCode |
[ "010:18" ] |
| dataQuality | true |
| identifier | FWS_ServCat_157174 |
| issued | 2023-01-01T12:00:00Z |
| landingPage | https://ecos.fws.gov/ServCat/Reference/Profile/157174 |
| programCode |
[ "010:028", "010:094" ] |
| references |
[ "https://ecos.fws.gov/ServCat/Reference/Profile/157174" ] |
| spatial | -126.117188,24.3454227,-65.73633,49.36687 |
| temporal | 2019-01-01T12:00:00Z/2038-01-01T12:00:00Z |
| theme |
[ "Raster Dataset" ] |