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Sierra Nevada - Large Tree Density - > 30" Dbh
Large trees are important to forest managers for multiple reasons: they have a greater likelihood of survival from fire; they are an important source of seed stock; they provide...- WMS
- WCS
- GeoTiff
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SDI: Stand Density Index - Zeide 1983
Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used...- WMS
- WCS
- GeoTiff
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SDI: Stand Density Index - Reineke 1933
Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used...- WMS
- WCS
- GeoTiff
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SDI: Proportion of Max - Zeide 1983
Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used...- WMS
- WCS
- GeoTiff
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SDI: Proportion of Max - Reineke 1933
Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used...- WMS
- WCS
- GeoTiff
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Late Seral Stage Distribution
The seral stages are categories that represent the developmental progression of forest ecosystems from initial establishment or following a stand replacing event (e.g., high...- WMS
- WCS
- GeoTiff
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Early Seral Stage Distribution
The seral stages are categories that represent the developmental progression of forest ecosystems from initial establishment or following a stand replacing event (e.g., high...- WMS
- WCS
- GeoTiff
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Distribution of Redwood Structure Classes
Coast Redwoods grow in a band from the coast of central California to southern Oregon (thus these data are only in the Northern and Central California Regions). Compared to...- WMS
- WCS
- GeoTiff
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Density - Snags - 40" or Greater
The number of standing dead trees (snags) on the landscape is important to forest managers; high densities of standing dead trees are known to contribute to extreme fire events...- WMS
- WCS
- GeoTiff
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Density - Snags - 30" - 39.9"
The number of standing dead trees (snags) on the landscape is important to forest managers; high densities of standing dead trees are known to contribute to extreme fire events...- WMS
- WCS
- GeoTiff
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Density - Snags - 20" - 29.9"
The number of standing dead trees (snags) on the landscape is important to forest managers; high densities of standing dead trees are known to contribute to extreme fire events...- WMS
- WCS
- GeoTiff
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Density - All Trees Per Acre >1" Dbh
Trees per acre (TPA) is a common forest structure measurement that provides a useful index of forest and habitat condition. Many other metrics can be derived from having...- WMS
- WCS
- GeoTiff
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Canopy Layer Count
This layer represents the number of distinct vertical canopy layers of trees. Vertical layer count is a proxy for leaf area index, and maps canopy complexity. Since LANDFIRE...- WMS
- WCS
- GeoTiff
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Basal Area
Basal area (BA) is a common forest structure measurement that provides a useful index of forest and habitat condition. Basal area is the cross-sectional area of the bole of a...- WMS
- WCS
- GeoTiff
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Hydrologic Effects of Forest Restoration, WA 2021
This lidar dataset was collected as part of an NCALM Seed grant for Cassie Lumbrazo at the University of Washington. This study used airborne lidar to evaluate the hydrologic...- laz
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Preserving Mountains with Forest Management, CA 2020
This lidar dataset was collected as part of an NCALM Seed grant for Louis Graup at the University of California, Santa Barbara. This study used airborne lidar to study how to...- laz
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Blacks Mountain Experimental Forest, CA 2009
Lidar was collected over the Blacks Mountain Experimental Forest in the Lassen National Forest between July 31st and August 11th, 2009- laz
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GreenVegetation
Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data- TIFF
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DryVegetation
Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data- TIFF
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SurfaceFuels
Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data- TIFF
You can also access this registry using the API (see API Dokumentáció).