Evaluation of LiDAR Point Clouds Density in the Interpolation of Digital Terrain Models for Power Line Planning in Northeast Brazil

Authors

DOI:

https://doi.org/10.11137/1982-3908_2022_45_40773

Keywords:

DTM, Airborne laser, Transmission lines

Abstract

Mapping activities for the implementation of basic and executive projects for electric power transmission lines systematically involves topographic surveys. This study presents the results of a comparative study on the influence of the density of aerial survey points, LiDAR (Light Detection and Ranging), for the calculation of digital terrain models (DTMs) in typical areas of the northeastern region of Brazil, in the context of modeling ground for planning electricity transmission lines. The study area is the region covered by the 230 kV Ibicoara/Brumado transmission line, located in the state of Bahia/Brazil.. In part of this region, elevations of the mountains of the Western Edge of Chapada Diamantina predominate. Therefore, points with varying densities were used to interpolate DTMs in different environments. Point cloud classification (Airborne LiDAR) was performed using the TerraScan program using semi-automatic classification methods, followed by manual refinements. To evaluate the terrain models obtained with different point densities, four areas were selected under transmission line: Area 1 (24.4/m2), Area 2 (46.0/m2), Area 3 (33.7/m2) e Area 4 (29.7/m2). The Airborne LiDAR survey was performed with an Optech ALTM Pegasus HD500 sensor, calibrated to obtain a density of 15 points/m2. The results showed that, depending on the nature of the vegetation cover, less dense laser surveys do not offer enough quality to generate DTMs. However, in some cases, when the vegetation is denser and the terrain is not flat, the quality of the DTM decreases as the density of the points decreases. The study shows that the survey density must be suitable for the region to be analyzed. An important guideline would be to repeat this study in other areas with different coverage and relief variations, in order to create specifications to serve as a basis for planning LiDAR surveys on other transmission lines.

Author Biographies

Jorge Antonio Silva Centeno, Universidade Federal do Parana - Departamento de Geomática

Jorge Antonio Silva Centeno nasceu em La Paz, Bolívia. Possui graduação em Engenharia Civil pela Universidade Federal de Mato Grosso do Sul (1988), mestrado em Recursos Hídricos e Saneamento Ambiental pela Universidade Federal do Rio Grande do Sul (1991) e doutorado em Geodésia - Universitat Karlsruhe (2000). Atualmente é professor titular do Departamento de Geomática da Universidade Federal do Paraná. Tem experiência na área de Geociências, com destaque em Fotogrametria, atuando principalmente nos seguintes temas: sensoriamento remoto, scanner a laser, cartografia, fotogrametria e processamento de imagens.

Claudionor Ribeiro Silva, Universidade Federal de Uberlândia

Graduado em Engenharia de Agrimensura na Universidade Federal de Viçosa. Mestrado e Doutorado em Ciências Geodésicas na Universidade Federal do Paraná. Pós-Doutorado na Universidade do Porto / Pt. Professor DE na Universidade Federal do Piauí (2006-2011). Professor Associado DE na Universidade Federal de Uberlândia (2011 / Atual). Tem experiência na área de Geociências, com ênfase em Sensoriamento Remoto e Fotogrametria; atua principalmente nos temas: Imagens multiespectrais e de alta resolução espacial; Dados Laser Scanner; Processamento digital de imagens; Inteligência Artificial; Extração / Detecção de feições em imagens elevadas e integradas com dados altimétricos; Uso do Sensoriamento Remoto e da Fotogrametria nas Ciências Ambientais. Membro Permanente do Programa de Pós-Graduação em Ecologia e Conservação dos Recursos Naturais (PPGECRN - INBIO / UFU - 2012/2015); Membro Permanente do Programa de Pós-Graduação em Meio Ambiente e Qualidade Ambiental (PPGMQ - ICIAG / UFU - 2013 / Atual); Membro do Programa de Pós-Graduação em Geografia (PPGEO - IG / UFU - 2020 / Atual). 

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Published

2022-07-15

Issue

Vol. 45 (2022)

Section

Geography

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