Canopy Layer Count
Data and Resources
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[WMS] Canopy Layer CountWMS
Web Map Service (WMS) endpoint providing visualization capabilities for...
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[WCS] Canopy Layer CountWCS
Web Coverage Service (WCS) endpoint providing direct access to the raw raster...
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[DATA] Canopy Layer CountGeoTiff
Zipped file containing the GeoTiff data and associated metadata for Canopy...
Additional Info
Field | Value |
---|---|
Last Updated | February 28, 2025, 07:38 (UTC) |
Created | February 28, 2025, 07:38 (UTC) |
category | /Forest and Shrubland Resilience/Structure |
collection_name | California Landscape Metrics |
creation_method | Each forest structure metric was derived directly from airborne lidar data, hosted by the USGS 3D Elevation Program. However, these data are only available for a small fraction of California's 423,970 kmÂ2 area. To overcome this, we trained deep learning models'a form of pattern recognition'to identify these forest structure patterns in satellite imagery, then mapped each metric statewide. These algorithms are of the U-net family of neural network architectures that perform pixel-wise regression and classification tasks. The satellite data includes imagery from Sentinel-1 C-band radar sensors and Sentinel-2 multispectral sensors at 10 m spatial resolution, collected in Fall 2019. Future versions will include imagery from PlanetScope multispectral sensors at 3 m resolution. Downloaded from [California Forest Observatory - Organizations - WIFIRE Commons Data Catalog (sdsc.edu)](https://wifire- data.sdsc.edu/organization/california-forest-observatory). For more information, go to <https://forestobservatory.com/about.html#about> |
data_units | Count |
data_vintage | 06/2020 |
element | Structure |
encoding | utf8 |
file_name | CanopyLayerCount_202006_202312_T1_v5 |
format | GeoTiff |
harvest_object_id | 7940d2e2-b6cd-41ae-bd4d-532b94f7eb03 |
harvest_source_id | a2637971-af12-457f-ae4a-831d2202a539 |
harvest_source_title | WIFIRE Commons |
maximum_value | 9.0 |
metric_definition_and_relevance | 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 doesn't support a NoData value, all NoData pixels in canopy fuel metrics were set to 0 in the Landscape files. (e.g., canopy cover was set to 0 in all NoData locations). Topographic data and surface fuel model remain unaltered. |
minimum_value | 0.0 |
pillar | Forest and Shrubland Resilience |
spatial | {"type": "Polygon", "coordinates": [[[-124.5090833859125, 32.4242698701859], [-113.49380570277376, 32.4242698701859], [-113.49380570277376, 42.1119747450123], [-124.5090833859125, 42.1119747450123], [-124.5090833859125, 32.4242698701859]]]} |
tier | 1 |