 The study aimed to map carbon dioxide emissions from above-ground tree biomass using airborne laser scanning data and evaluated the suitability of low-density, discrete, multiple return ALS data for this purpose. A sample of 45 circular plots was used to fit and validate a model of above-ground tree biomass which was then used to estimate carbon dioxide emissions. The study found that vegetation height variability and canopy density were the most important variables in estimating carbon dioxide emissions while other factors such as terrain slope, aspect, canopy cover, scan angle, and number of laser returns did not significantly influence estimates at plot level. This article was authored by Antonio Luis Montiela-Gracia, Maria Teresa Lumela-Gracia, Alberto Garcia-Martin, and others.