Estimating Above-Ground Biomass of Araucaria angustifolia (Bertol.) Kuntze Using LiDAR Data
Tipo de material:
ArtigoAssunto(s): Recursos online:
Em: Floresta e Ambiente (Brazil) v. 26(4) p. 1-11; (2019)Sumário:
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.
| Tipo de material | Biblioteca atual | Coleção | Número de chamada | Informaçaõ do volume | Situação | Devolução em | Código de barras |
|---|---|---|---|---|---|---|---|
Periódicos
|
Biblioteca Nacional de Agricultura - Binagri Agrobase - Periódicos | Periódicos agrícolas | 2019 26(4) | Online | 2025-0452 |
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.
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