APPLICATION OF LIDAR TO FOREST INVENTORY FOR TREE COUNT IN STANDS OF Eucalyptus sp

Main Article Content

Luciano Teixeira de Oliveira Luis Marcelo Tavares de Carvalho Maria Zélia Ferreira Thomaz Chaves de Andrade Oliveira Fausto Weimar Acerbi Junior

Abstract

Light Detection and Ranging, or LIDAR, has become an effective ancillary tool to extract forest inventory data and for use in other forest studies. This work was aimed at establishing an effective methodology for using LIDAR for tree count in a stand of Eucalyptus sp. located in southern Bahia state. Information provided includes in-flight gross data processing to final tree count. Intermediate processing steps are of critical importance to the quality of results and include the following stages: organizing point clouds, creating a canopy surface model (CSM) through TIN and IDW interpolation and final automated tree count with a local maximum algorithm with 5 x 5 and 3 x 3 windows. Results were checked against manual tree count using Quickbird images, for verification of accuracy. Tree count using IDW interpolation with a 5x5 window for the count algorithm was found to be accurate to 97.36%. This result demonstrates the effectiveness of the methodology and its use potential for future applications.

Article Details

How to Cite
OLIVEIRA, Luciano Teixeira de et al. APPLICATION OF LIDAR TO FOREST INVENTORY FOR TREE COUNT IN STANDS OF Eucalyptus sp. CERNE, [S.l.], v. 18, n. 2, p. 175-184, apr. 2016. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/1121>. Date accessed: 18 sep. 2019.
Keywords
Airborne laser scanning, tree detection, Local Maximum.
Section
Article