10 datasets found

Organizations: California Wildfire & Forest Resilience Task Force Formats: geotiff

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  • CWHR Vegetation - Type

    Vegetation maps are important for characterizing many important features of a landscape such as wildlife habitat, fuels conditions, forest composition, and carbon. Such data are...
  • FIA Forest Types

    Managers work with forest types for a variety of purposes and knowing the major forest type of a target location helps to assess the best suited treatment for the site. The F3...
  • Urban-Agriculture Land Use

    This dataset covers the urban and agricultural landscape for all forms of urban and agricultural land use in California. It was created using a combination of best available...
  • CWHR Vegetation - Density

    Vegetation maps are important for characterizing many important features of a landscape such as wildlife habitat, fuels conditions, forest composition, and carbon. Such data are...
  • Housing Unit Density

    HUDen is a raster of housing-unit density measured in housing units per square kilometer. The HUDen raster was generated using population and housing-unit count and data from...
  • Building Structure Density

    A raster dataset containing building footprints of California. The vintage of the footprints depends on the vintage of the underlying imagery. Bing Imagery is a composite of...
  • Lakes/Reservoirs

    Water Bodies such as lake and reservoir features are represented in this layer pulled from the National Hydrography Dataset (NHD). These data were used to erase areas of lakes...
  • Wildland Urban Interface (WUI)

    Determine building density and vegetation cover on a pixel-by-pixel basis (Bar Masada et al., 2013). Values in the raster are defined as: 0: Not WUI, 1: Intermix WUI, 2:...
  • Fire Severity Classification

    Fire severity classification (low, moderate, high) that burned within the last 10 years (2012-2021). The difference-adjusted relativized difference normalized burn ratio (RDNBR)...
  • CWHR Vegetation - Size

    Vegetation maps are important for characterizing many important features of a landscape such as wildlife habitat, fuels conditions, forest composition, and carbon. Such data are...