%0 Conference Proceedings
%4 sid.inpe.br/mtc-m16c/2023/12.18.16.13
%2 sid.inpe.br/mtc-m16c/2023/12.18.16.13.43
%@issn 2179-4847
%T Quantifying selective logging intensity through airborne LiDAR data in an Amazon rainforest: study case at Jamari National Forest
%D 2023
%A Braga, Daniel,
%A Aragão, Luiz Eduardo Oliveira e Cruz de,
%A Anderson, Liana O.,
%A Dutra, Débora J.,
%A Cabral, Beatriz Figueiredo,
%A Dalagnol, Ricardo,
%@affiliation Universidade Federal de Santa Catarina (UFSC)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
%@affiliation Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
%@affiliation Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
%@affiliation University of California
%@electronicmailaddress danielalvezbraga@gmail.com
%@electronicmailaddress luiz.aragao@inpe.br
%@electronicmailaddress liana.anderson@gmail.com
%@electronicmailaddress ddutra.ambiental@gmail.com
%@electronicmailaddress beatriz.figueiredocabal@gmail.com
%@electronicmailaddress ricds@hotmail.com
%E Vinhas, Lubia (INPE),
%E Feitosa, Flavia F. (UFABC),
%B Simpósio Brasileiro de Geoinformática, 24 (GEOINFO)
%C On-line
%8 04 a 06 dez. 2023
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%S Anais
%X Airborne LiDAR data represents one of the most accurate ways to estimate forest strucutre and carbon nowadays. This study aimed to estimate the intensity of selective logging activities in terms of density and volume of logged trees based on airborne LiDAR data in comparison to ground measurements on a forest concession area in the Brazilian Amazon, the Jamari National Forest. The results show a significant relationship between logging intensity and LiDAR intensity. This constituted an important step towards monitoring selective logging in the Amazon and areas under forest concession.
%@language en
%3 Braga_Quantifying.pdf