MRRMaid Water Proportions - 30m - Monthly¶

Description¶

The Monthly MRRMaid 30m water 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 water in Landsat pixels (0-1) for June, July, August, September of each year.

Climate Engine details¶

Dataset type

Remote Sensing

Climate Engine ID

MRRMaid_Water

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-water

Name	Units
water_proportion	N/A

References¶

No references listed.

Website: https://www.boisestate.edu/environment/our-work/mesic-resource-restoration-monitoring-aid/, https://nekolarik.users.earthengine.app/view/monthly-mrrmaid

Terms of use¶

Creative Commons Attribution 4.0 International (CC BY 4.0)