Tree Cover Ratio

Total tree cover as measured by the fractional non-overlapping absolute tree cover, viewed vertically. Provides a first order measure of vegetation type when combined with parallel observations of shrub 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 17, 2025, 06:42 (UTC)
Created January 17, 2025, 06:42 (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 TreeCoverRatio_202112_202312_T1_v5
format GeoTiff
harvest_object_id 9ad736c1-31f1-491c-b021-5a17e0c30b6e
harvest_source_id a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title WIFIRE Commons
maximum_value 1.0
metric_definition_and_relevance Total tree cover as measured by the fractional non-overlapping absolute tree cover, viewed vertically. Provides a first order measure of vegetation type when combined with parallel observations of shrub 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