MRRMaid Mesic Proportion - 30m - Monthly¶

Description¶
The Monthly MRRMaid 30m mesic proportions data seeks to expand the temporal extent of the Monthly MRRMaid SF 10m classifications. The MRRMaid team used the 10m classifications and ancillary datasets to train machine learning regressions that estimate proportional estimates of mesic vegetation in Landsat pixels (0-1) for June, July, August, September of each year.
Climate Engine details¶
- Dataset type
- Remote Sensing
- Climate Engine ID
- MRRMaid_Mesic
- Documentation
- No link provided
Dataset details¶
- Scale
- 30m
- Frequency
- Monthly
- Coverage
- Western US
- Start year
- 1984
- End year
- 2025
Earth Engine collection details¶
- Earth Engine asset
- N/A
- Earth Engine source catalog
- Private Collection
Variables¶
API variable docs: #mrrmaid-mesic
| Name | Units |
|---|---|
| mesic_proportion | N/A |
References¶
No references listed.
Terms of use¶
Creative Commons Attribution 4.0 International (CC BY 4.0)