Silvilaser 2019 - Poster Presentations »
USE OF TERRESTRIAL LASER SCANNING TO ASSESS FUEL CONSUMPTION IN AMAZON RAINFORESTS
Fires are a great disturbance in rainforests. Understanding fire fuels is essential to prevent fire ignition and propagation, thus reducing the fire risk. Terrestrial Laser Scanning (TLS) is presented as a good option for assessing and modelling fuel categories, as it produces high density point clouds taken in the forest understory. In this study we propose a method for assessing fuel consumption in the amazonian rainforest, comparing pre and post-fire TLS scans. The data was collected in a transitional amazon rainforest - state of Mato Grosso, Brazil. The study area has been subjected to controlled fire in 2013. Point cloud data analysis shows that the mean difference between pre and post fire metrics is statistically significant at 95% probability. Pre and post fire data comparison shows that most of matter loss occurs in the first meter above ground and almost nothing is lost above 5 meters. This demonstrates that superficial fires do not reach adult healthy trees. A model was fit to predict relative difference in height returns with a coefficient of determination of 0.71. The proposed methodology can identify which height classes underwent greater fire disturbance, serving as an indicator for the fire’s behaviour. Our findings support other research which indicate that fire in rainforests is restricted to superficial matter due to high vegetation moisture.