02123nab a2200301 i 4500 BR-BrBNA 20260417121844.0 260417b2019 bl.qr|pooa||| 00| 0 eng | BR-BrBNA eng U40 U10 K10 Rex, Franciel Eduardo Corte, Ana Paula Dalla Machado, Sebastião do Amaral Silva, Carlos Alberto Sanquetta, Carlos Roberto Estimating Above-Ground Biomass of Araucaria angustifolia (Bertol.) Kuntze Using LiDAR Data Publicação on-line; Bibliography p. 9-11 (50 ref.); 1 table; 4 illus.; Summary (En) 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. FLORESTA NATIVA MODELO MATEMÁTICO SENSORIAMENTO REMOTO 2929 347953 Rio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 2025-0452 Floresta e Ambiente (Brazil) 1415-0980 / ISSN 2179-8087 0nline v. 26(4) p. 1-11; (2019) BR2026001242 https://www.scielo.br/j/floram/a/v3jNTnsHy9JptVwfcgC3ZHj/?format=pdf&lang=en ANA 341452 341452