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

* Metric Name: Cumulative Tree Cover Loss   

* Tier: 1  

* Data Vintage: 12/2020  

* Unit Of Measure: Proportion, cumulative fractional non-overlapping absolute tree cover loss, where tree 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 1.709.  

* Translation: Where is cumulative tree 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 tree 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 tree cover loss in Southern
California

Figure . Histogram of translated cumulative tree cover loss in Southern
California

Figure . Maps displaying raw metric and translated metric cumulative tree
cover loss in Southern California

  

* Metric Definition and Relevance: The cumulative loss of tree cover over a 30-year period (1992-2021). Tree 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;