Generate risk maps using values, MODIS and fire perimeter data

[conbrad]

Given the user input values, and the current fire perimeters, generate risk map similar to how it's being done here: https://github.com/emillan-gov/gis-pantry/blob/master/recipes/Wildfire_Values_Mapping/main.py

• [ ] Using current weather station indices add in 10 day forecast from MORECAST and calculate out 10 days of FWI values
  • [ ] Weather stations will also have a polygon area they cover and any fires/MODIS hotspot that falls in that polygon
• [ ] Use forecasted wind direction from morecast on each day to determine what values would be most threatened on the given day
  • e.g. East wind would cause values west of fire to be threatened

Input values: https://github.com/bcgov/wps/issues/3938 Current fire perimeters: https://catalogue.data.gov.bc.ca/dataset/bc-wildfire-fire-perimeters-current

[conbrad]

I imagine for each value point we calculate 10 days of FWI values based on their nearest fire weather station, classify the risks according to risk level critieria, then based on the wind direction for each of those days, identify the most at risk values.