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

* Metric Name: Drought Sensitivity  

* Tier: 3  

* Data Vintage: 2018  

* Unit Of Measure: Relative index, low to high  

* Represent element and pillar: No  

* Type and distribution of data: Right-skewed distribution representing probability values. Raw values range from 0 to 1.  

* Translation: Where is drought sensitivity the lowest?  

* 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 lower drought sensitivity (negative linear slope). More favorable (translated to +1) set at 0, and less favorable (translated to -1) set at > 1\. 

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Figure . Histogram and scoring of drought sensitivity in Southern California

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Figure . Histogram of translated drought sensitivity in Southern California

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Figure . Maps displaying raw metric and translated metric drought sensitivity
in Southern California

  

* Metric Definition and Relevance: This layer represents an estimation of the probability that drought will substantially impact post-fire shrub recovery, potentially leading to vegetation type conversion to invasive grasses and forbs. This type conversion may increase the risk of fire ignition and fire spread.  

* Credits: San Diego State University CWC Project Team \--San Diego State University’s Connecting Wildlands and Communities Project Team