Data folders:

https://scil-data.sdsc.edu/data/ul-risk-modeling-2026/Forest/
https://scil-data.sdsc.edu/data/ul-risk-modeling-2026/Prairie/


All rasters and geojsons are in WGS84 (EPSG:4326) unless otherwise stated.
All rasters have no data values defined as 9999.

<city name>_depth.tif : 1 band raster file of surface fuel depth [meters] 
<city name>_elevation.tif : 1 band raster file of elevation from USGS DEM products 
<city name>_generated_buildings_fireprops.geojson : geojson containing synthetic building polygons
<city name>_ignition.geojson: geojson containing the ignition location and start time.
<city name>_moist1.tif : 1 band raster file of 1 hour surface fuel moisture [dec] 
<city name>_moist10.tif : 1 band raster file of 10 hour surface fuel moisture [dec] 
<city name>_moist100.tif : 1 band raster file of 100 hour surface fuel moisture [dec] 
<city name>_roads.geojson : geojson containing road network
<city name>_rhof1.tif : 1 band raster file of 1 hour surface fuel loading [kg/m^2]    
<city name>_rhof10.tif : 1 band raster file of 10 hour surface fuel loading [kg/m^2]     
<city name>_rhof100.tif : 1 band raster file of 100 hour surface fuel loading [kg/m^2] 
<city name>_SAV.tif : 1 band raster file of fuel surface area to volume [1/m] 
<city name>_SB40.tif : 1 band raster file of Scott & Bugran 40 fuel model [int] 
<city name>_Synoptic_Weather_Data.csv : CSV containing weather observations including:
    timestamp
    air temperature (F)
    relative humidity (%)
    wind speed (mph)
    wind direction (deg)
<city name>_Treelist.geojson : geojson containing tree data including:
    lat/lon, height (HT) [m], 
    canopy base height (CBH) [m],
    maximum canopy diameter (DIA) [m],
    height to maximum canopy diameter (HT_TO_DIA) [m],
    canopy bulk density (CBD) [kg/m^3],
    canopy moisture (MOIST) [dec],
    fine fuel size scale (SS)
<city name>_Treelist.txt : text file containing the same data as <city name>_Treelist.geojson in txt format

Voxelized tree data in "voxels" folder:
    <city name>_ReadDatFiles.py : python script to read and plot the dat files
    treesfueldepth.dat : depth
    treesmoist.dat : moistures
    treesrhof.dat : density 
    treesss.dat : size and scale
    <city name>_voxels.zip : a zip file containing all the dat files


Known Issues

  Forest_SB40.tif: any values that are not between 0-200 are no data values. 
  Forest_elevation.tif: the value -32768 is no data instead of 9999.
  Buildings Data: certain fields in the data are null or of no value, these include:
    Structural_sep_dist
    Neihborhood_count
    Wildland_area
    WUI Zone
    Parcel_median_size