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Remote sensing techniques can aid in forest fire mapping, especially in remote areas and during busy fire seasons. The SPOT-VEGETATION (SV) sensor has previously shown promise at distinguishing fire scars on the landscape. This paper evaluates the usefulness of the SV sensor to age fires in 18 Canadian ecoregions for a period of up to 50 years since fire. The SV reflectances were evaluated using the ratio of the short wave infrared band to near infrared band, compared with the Canadian large-fire database. Results show the dependence of fire-scar age prediction on ecoregion and on time following fire. Applications, limitations, & uncertainties of the SV data are discussed.
A First Order Fire Effects Model (FOFEM) was developed to predict the direct consequences of prescribed fire and wildfire. FOFEM computes duff and woody fuel consumption, smoke production, and fire-caused tree mortality for most forest and rangeland types in the United States. The model is available as a computer program for PC or Data General computer.