Rex, Franciel Eduardo Corte, Ana Paula Dalla  Machado, Sebastião do Amaral  Silva, Carlos Alberto  Sanquetta, Carlos Roberto  <br/><br/>
Estimating Above-Ground Biomass of Araucaria angustifolia (Bertol.) Kuntze Using LiDAR Data 

<br/><br/> Publicação on-line; Bibliography p. 9-11 (50 ref.); 1 table; 4 illus.; Summary (En) 
<br/><br/> <br/><br/>ABSTRACT<br/><br/>The objective of this study was to test the performance of canopy data obtained from Airborne<br/>Laser Scanner (ALS) in generating estimates of above-ground biomass (AGB) of Araucaria<br/>angustifolia (Bertol.) Kuntze individuals. A cloud of ALS points located in a fragment of native<br/>urban forest in Curitiba, Paraná was used. The procedures consisted of: classifying points; obtaining<br/>and smoothing the Canopy Height Model (CHM); detecting peaks and segmenting canopy using<br/>eCognition software. Mathematical models were adjusted to estimate the AGB from the crown<br/>areas. Two equations were required to estimate the individual AGB, while R2<br/>(%) values of 96.19 and 98.89 were found. The total AGB stock found was 264.333 kg. The LiDAR <br/>technology and the methods for obtaining the information used in this work constitute non-destructive and<br/>precise tools for quantifying biomass in native forests.<br/><br/>Keywords: native forest, estimation equations, remote sensing. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>FLORESTA NATIVA<br/>MODELO MATEMÁTICO<br/>SENSORIAMENTO REMOTO