ANALYSIS OF BURN SEVERITY AND FIRE SPREAD IN REGIONS OF AMAZONAS FOREST-BOLIVIA USING REMOTE SENSING TECHNIQUES AND CELLULAR AUTOMATA MODEL
Palabras clave:
Fire severity, Amazon rainforest, Guarayos, Fire Spread model, DNBRResumen
Uncontrolled large fires are a major threat to the biodiversity of forest and landscapes. Understanding fire dynamics and analyzing burn severity are key tools for forest managers in order to plan an adequate post-fire response. Remote sensing data are becoming an indispensable instrument to managers of fire-prone forests for quantifying and mapping fire impacts. Differenced Normalized Burn Ratio (ΔNBR) is among the most widely used spectral indices for the mapping of burn severity. The present study, describes the burn severity suffered in different regions at the amazon forest in Bolivia (near Guarayos province) using images from LANDSAT TM/ETM. Likewise, a fire spread study is simulated, the simulation takes into account Amazon forest’s tree density, probability of fire spread between trees, wind strength and type of trees (fuel types in trees). Based on both studies, different countermeasures have been proposed and developed.
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