000			02123nab a2200301 i 4500
003			BR-BrBNA
005			20260417121844.0
008			260417b2019 bl.qr|pooa||| 00| 0 eng |
040			_aBR-BrBNA _beng
072			_aU40
072			_aU10
072			_aK10
100			_aRex, Franciel Eduardo
100			_aCorte, Ana Paula Dalla
100			_aMachado, Sebastião do Amaral
100			_aSilva, Carlos Alberto
100			_aSanquetta, Carlos Roberto
245			_aEstimating Above-Ground Biomass of Araucaria angustifolia (Bertol.) Kuntze Using LiDAR Data
500			_aPublicação on-line; Bibliography p. 9-11 (50 ref.); 1 table; 4 illus.; Summary (En)
520			_a 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.
650			_aFLORESTA NATIVA
650			_aMODELO MATEMÁTICO
650			_aSENSORIAMENTO REMOTO
773	0		_02929 _9347953 _dRio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 _o2025-0452 _tFloresta e Ambiente (Brazil) _x1415-0980 / ISSN 2179-8087 0nline _gv. 26(4) p. 1-11; (2019) _wBR2026001242
856			_uhttps://www.scielo.br/j/floram/a/v3jNTnsHy9JptVwfcgC3ZHj/?format=pdf&lang=en
942			_cANA
999			_c341452 _d341452