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64-foot resolution image service of LiDAR-derived ladder fuels in 6 classes. Classification was done by vegetation type; each vegetation type has a roughly equal number of pixels in each of the six ladder fuel classes. |
| summary:
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64-foot resolution image service of LiDAR-derived ladder fuels in 6 classes. Classification was done by vegetation type; each vegetation type has a roughly equal number of pixels in each of the six ladder fuel classes. |
| accessInformation:
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Pepperwood Foundation, the Flora L. Thornton Foundation, Tukman Geospatial LLC, Sonoma Ag + Open Space, NASA
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| thumbnail:
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thumbnail/thumbnail.png
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| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"]
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| description:
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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). This image service is a classified version of the raw ladder fuels LiDAR metric for the 1-4 meter aboveground strata. Pixel values for the 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
This product is a classified version of the raw ladder fuel metric. Classification was performed by vegetation type, which each vegetation type's pixels being split into 6 groups (sextiles), with roughly a roughly equal number of pixels in each group. Class 1 represents the first sextile (lowest ladder fuels) and class 6 represents the sixth sextile (highest ladder fuels). It is important to remember the classification was done by vegetation type; types with generally high ladder fuels (such as shrub types) will have an equal distribution of pixels in each class, as will types with generally low ladder fuels (such as deciduous oaks). Vegetation information used in the classification of the ladder fuel raster was derived from the 2017 fine-scale vegetation map and impervious surfaces map. Vegetation types that were agricultural, buildings, major roads, paved roads, other impervious, herbaceous, herbaceous wetland, water, or barren were automatically assigned a class of 1 (lowest ladder fuels). 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. |
| licenseInfo:
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None
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| catalogPath:
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| title:
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Ladder_Fuels_by_Veg
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| type:
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Image Service
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| url:
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http://localhost:6080/arcgis/services/Ladder_Fuels_by_Veg/ImageServer
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| tags:
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["Fuels"," Ladder Fuels"," Sonoma"]
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| culture:
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en-US
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| name:
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Ladder_Fuels_by_Veg
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| guid:
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| spatialReference:
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