Predictive model of burn severity (dNBR) in the Mojave Desert
Description
This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Resources
| Name |
Format |
Description |
Link |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.62212e27d34ee0c6b38b6276.xml |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P99YGHSJ |
Tags
- usgs-62212e27d34ee0c6b38b6276
- random-forests
- ecosystems
- burn-severity
- fire-frequency
- biota
- grass-fire-cycle
- mojave-desert
- spatial-models
- field-methods
- fires
- fire
- vegetation
- geographic-information-systems
- remote-sensing
- dnbr
- invasive-species
- heterogeneity
- plants-organisms
- fire-regimes
- desert-ecosystems
- disturbance
- imagerybasemapsearthcover
- predictive-models