 This study uses low-density airborne laser scanning, ALS, to evaluate post-fire vegetation response in Mediterranean Pinus-Hallipensis Mill. Forests affected by wildfires from 1986 to 2009. The aim is to analyse structural diversity differences between burned and unburned areas, fire occurrence dates, and old and more recent fires using several ALS metrics and topographic metrics. The results show that in more recent fires, around 70% of laser returns came from grass and shrub layers, yielding low LHDI and LHEI values. In contrast, the areas burned more than 20 years ago had higher LHDI and LHEI values due to the growth of the shrub and tree strata. The classification of burned and unburned areas yielded an overall accuracy of 89.64% using the random forest method. While SVM was the best classifier for identifying structural differences between fires occurring on different dates with an overall accuracy of 68.79%. Additionally, SVM yielded an overall accuracy of 75.49% for the classification between old and more recent fires. This article was offered by P.J. Jelliburt, A.L. Montelica, M.T. Lamellas, and others. We are article.tv, links in the description below.