Rex, Franciel Eduardo creator Corte, Ana Paula Dalla creator Machado, Sebastião do Amaral creator Silva, Carlos Alberto creator Sanquetta, Carlos Roberto creator text periodical abstract or summary bl. continuing eng ABSTRACT The objective of this study was to test the performance of canopy data obtained from Airborne Laser Scanner (ALS) in generating estimates of above-ground biomass (AGB) of Araucaria angustifolia (Bertol.) Kuntze individuals. A cloud of ALS points located in a fragment of native urban forest in Curitiba, Paraná was used. The procedures consisted of: classifying points; obtaining and smoothing the Canopy Height Model (CHM); detecting peaks and segmenting canopy using eCognition software. Mathematical models were adjusted to estimate the AGB from the crown areas. Two equations were required to estimate the individual AGB, while R2 (%) values of 96.19 and 98.89 were found. The total AGB stock found was 264.333 kg. The LiDAR technology and the methods for obtaining the information used in this work constitute non-destructive and precise tools for quantifying biomass in native forests. Keywords: native forest, estimation equations, remote sensing. Publicação on-line; Bibliography p. 9-11 (50 ref.); 1 table; 4 illus.; Summary (En) FLORESTA NATIVA MODELO MATEMÁTICO SENSORIAMENTO REMOTO Rio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 2025-0452 1415-0980 / ISSN 2179-8087 0nline BR2026001242 v. 26(4) p. 1-11; (2019) https://www.scielo.br/j/floram/a/v3jNTnsHy9JptVwfcgC3ZHj/?format=pdf&lang=en https://www.scielo.br/j/floram/a/v3jNTnsHy9JptVwfcgC3ZHj/?format=pdf&lang=en BR-BrBNA 260417 20260417121844.0 eng