Comparar métodos

	Severidade de Queimada (dNBR)	Índice de Clima para Incêndios Florestais	Modelo de Propagação de Incêndio Rothermel
Área	Ciências florestais	Ciências florestais	Ciências florestais
Família	Process / pipeline	Process / pipeline	Process / pipeline
Ano de origem	2006	1987	1972
Autor original	Carl Key	Cornelius Van Wagner	Richard Rothermel
Tipo	remote sensing index	weather-based fire danger system	fire propagation model
Fonte seminal	Key, C. H., & Benson, N. C. (2006). Landscape Assessment (LA): Sampling and Analysis Methods. General Technical Report RMRS-GTR-164-CD, USDA Forest Service Rocky Mountain Research Station.	Van Wagner, C. E. (1987). Development and structure of the Canadian Forest Fire Weather Index System. Canadian Forestry Service Publication 1333.	Rothermel, R. C. (1972). A mathematical model for predicting fire spread in wildland fuels. Research Paper INT-115, USDA Forest Service Intermountain Research Station.
Outros nomes	dNBR, Delta NBR, burn severity index	FWI, Canadian Fire Weather Index	fire spread model, BEHAVE model
Relacionados	3	2	3
Resumo	Burn severity is a quantitative measure of fire-induced changes in vegetation and soil, assessed using satellite-based spectral indices. The Normalized Burn Ratio (NBR) and its delta (dNBR) compare pre-fire and post-fire spectral reflectance in the near-infrared and shortwave-infrared bands to detect fire-caused vegetation damage and soil exposure. Developed by Key and Benson in 2006, dNBR has become the standard remote-sensing tool for rapid post-fire assessment and is used for emergency response, recovery planning, and ecological analysis.	The Fire Weather Index (FWI) System, developed by the Canadian Forest Service, is a comprehensive weather-based fire danger rating system consisting of six component indices and an overall Fire Weather Index. It uses daily weather observations (temperature, relative humidity, wind speed, and precipitation) to estimate fine-fuel moisture, fire behavior, and risk. The FWI System is used operationally across Canada, many U.S. states, and internationally for fire management decisions and fire danger forecasting.	The Rothermel fire spread model, developed by Richard Rothermel in 1972, is a mechanistic mathematical model that predicts the rate of fire spread through surface fuels using fuel characteristics, weather, and topography. It forms the theoretical foundation of the BEHAVE fire modeling system used operationally by fire agencies worldwide. The model integrates principles from combustion physics, heat transfer, and fuel science to quantify how fire intensity, fuel moisture, wind, and slope interact to drive wildfire propagation.