Shrub Cover Ratio

Total shrub cover as measured by the fractional non-overlapping absolute shrub cover, viewed vertically. Provides a first order measure of vegetation type when combined with parallel observations of tree and herbaceous cover. Data from the National Land Cover Database (NLCD) are used for training, and NLCD definitions for cover (for example, the distinction between tree vs shrub) are expected to be similar in the CECS data sets.

Data and Resources

Additional Info

Field Value
Last Updated January 24, 2025, 06:52 (UTC)
Created January 24, 2025, 06:52 (UTC)
category /Forest and Shrubland Resilience/Composition
collection_name California Landscape Metrics
creation_method Machine learning (Random Forest) using the National Land Cover Database for training and Landsat observations as predictors. See[ https://doi.org/10.1029/2021AV000654](https://doi.org/10.1029/2021AV000654) for further information.
data_units Fractional nonoverlapping absolute cover; continuous variable from 0 to 1.
data_vintage 12/2021
encoding utf8
file_name ShrubCoverRatio_202112_202312_T1_v5
format GeoTiff
harvest_object_id a31c29ba-ff53-4e5e-8d47-68e26fc71ce7
harvest_source_id a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title WIFIRE Commons
maximum_value 0.8
metric_definition_and_relevance Total shrub cover as measured by the fractional non-overlapping absolute shrub cover, viewed vertically. Provides a first order measure of vegetation type when combined with parallel observations of tree and herbaceous cover. Data from the National Land Cover Database (NLCD) are used for training, and NLCD definitions for cover (for example, the distinction between tree vs shrub) are expected to be similar in the CECS data sets.
minimum_value 0.0
spatial {"type": "Polygon", "coordinates": [[[-124.5090833859125, 32.4242698701859], [-113.49380570277376, 32.4242698701859], [-113.49380570277376, 42.1119747450123], [-124.5090833859125, 42.1119747450123], [-124.5090833859125, 32.4242698701859]]]}
tier 1