Compares a Sentinel-2 scene from before a fire with one from after it. The model calculates the Normalized Burn Ratio for both dates and the difference between them (dNBR), sorts dNBR into the five burn severity classes of Key and Benson (2006), turns the burned pixels into patches with their area in hectares, measures the area of each severity class, and uses OpenStreetMap to find the buildings and roads inside the burned area. A one-row summary, the severity table and the patch list go into a spreadsheet. Every output follows the CRS of your bands. It maps a scar after a fire: it does not detect active fire, model spread or mask cloud, and dNBR also responds to mowing, harvest and drought, so draw your study area around the fire. Tested on the 2018 Saddleworth Moor fire.
Eight Bozmaps QGIS models in one zip: flood, landslide, wildfire, NDVI, NDVI change detection, land surface temperature, OSM map generator and vegetation vulnerability.
Screens how far inland a tsunami of a height you choose could reach, from a DEM, a coastline and land use roughness, using the published Berryman height-loss method.
Zone of Theoretical Visibility for a proposed wind turbine, mast or tall building, with visible area by distance band and the buildings that can see it.