<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20190306</CreaDate>
<CreaTime>00094200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Ladder_Fuels_Raw</resTitle>
</idCitation>
<idAbs>This LiDAR derivative provides information about the density of living and dead vegetation in the vertical strata between 1 and 4 meters above the ground. Recent research has shown that LiDAR metrics that characterize this strata provide a useful proxy for ladder fuels (see references below). Pixel values for this raw ladder fuel LiDAR derivative fall into a 0-1 range and represent the following:
# returns between 1 and 4 meters / # returns below 4 meters
For a classified version of this data product classified into six classes and stratified by vegetation type, use this image service. This layer is meant to be used as a tool to guide land managers as they identify and prioritize areas for forest and fuels treatments across the landscape. The idea for the ladder fuel metrics came out of a series of papers by Kramer et al. The citations for those papers are here:
Kramer, Heather, et al. "Quantifying ladder fuels: a new approach using LiDAR." Forests 5.6 (2014): 1432-1453.
Kramer, Heather, et al. "Estimating ladder fuels: a new approach combining field photography with LiDAR." Remote Sensing 8.9 (2016): 766.
This dataset was developed to support Ag + Open Space District analysis of 2017 burned areas under a NASA Rapid Response Grant, as well as to support countywide work on the Sonoma County Fuel Model, a Pepperwood Preserve Project funded by the Flora L. Thornton Foundation. </idAbs>
<idPurp>64-foot resolution image service of LiDAR-derived ladder fuels</idPurp>
<idCredit>Pepperwood Foundation, the Flora L. Thornton Foundation, Tukman Geospatial LLC, Sonoma Ag + Open Space, NASA</idCredit>
<resConst>
<Consts>
<useLimit>None</useLimit>
</Consts>
</resConst>
<searchKeys>
<keyword>Fuels</keyword>
<keyword> Ladder Fuels</keyword>
<keyword> Fire</keyword>
<keyword> Sonoma</keyword>
</searchKeys>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
