Look for complete geospatial metadata in this layer's associated xml document available from the download link

* Metric Name: Cumulative Shrub Cover Lost  

* Tier: 1  

* Data Vintage: 12/2020  

* Unit Of Measure: Proportion, cumulative fractional non-overlapping absolute shrub cover loss, where shrub cover is a continuous variable from 0 to 1. Cumulative loss can exceed 1 in cases with multiple disturbances.  

* Represent element and pillar: No  

* Type and distribution of data: Zero-inflated, right skewed distribution representing proportion. Raw data values range from 0 to 1.755.  

* Translation: Where is cumulative shrub cover loss low?  

* Translation method and outcome: Raw data values translated to range from +1 to -1 representing more favorable to less favorable conditions, respectively. **** The proposition of more favorable is based on the objective of cumulative shrub cover loss being lower (negative linear slope). More favorable (translated to +1) and less favorable (translated to -1) are based on climate and vegetation regions (Table 5).

Figure . Histogram and scoring of cumulative shrub cover lost in Southern
California

Figure . Histogram of translated cumulative shrub cover lost in Southern
California

Figure . Maps displaying raw metric and translated metric cumulative shrub
cover lost in Southern California

  

* Metric Definition and Relevance: The cumulative loss of shrub cover over a 30-year period (1992-2021). Shrub cover loss reflects fires, harvest/management and dieoff. Only disturbances that are sufficient to trigger the Continuous Change Detection and Classification algorithm are included; low-level, diffuse dieoff is likely missed.  

* Credits: CECS;