Wildfires!
summary
Wildfire perimeter data from NIPY loads as GeoJSON with 119 fields, cleaned by filling nulls then filtered (e.g. acreage >=20, cost >100000). Python stacks GeoPandas for geometry ops (intersect, union_all, is_valid) and Folium/branca for maps: color by acreage with the top 10% forced red, popups showing incident name acres cost Irwin ID, layered base tiles and toggles, exportable HTML; example shows Alaska hosting many large fires and a firefighting cost near $29,000,000.
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chapters (12)
- 0:00Introduction
- 1:08Geospatial data basics
- 4:45Wildfire myths and evacuation
- 6:53Wildfire perimeter and containment
- 9:01IRWIN system
- 10:27NIFC perimeter data
- 13:39GeoPandas cleaning
- 18:36Folium mapping
- 22:31Map popups and styling
- 23:34GeoPandas state filter
- 25:20Advanced multi-layer maps
- 28:56Wildfire data challenges
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