EVALUATION OF IMAGE PROCESSING TECHNIQUES IN ENVIRONMENTAL IMPACT IDENTIFICATION IN POWERLINE

Authors

  • Claudionor Ribeiro Silva Universidade Federal de Uberlândia Instituto de Geografia
  • Samuel Lacerda de Andrade Universidade Federal de Uberlândia
  • Admilson Penha Pacheco Universidade Federal do Pernambuco

DOI:

https://doi.org/10.5902/2179460X19534

Keywords:

LiDAR, Impactos ambientais, Linhas de transmissão de energia

Abstract

The projects in the energy sector are basically composed of cables and metal structures. While providing benefits, installation and operation of these projects have significant environmental impacts along its path. The aim of this study was to evaluate image processing techniques to identify environmental impacts in energy powerline (path: Ibicoara-Brumado in Bahia / Brazil). Tests were performed on orthophotos with MaxVer classification and segmentation process object-oriented, with experiments integrating LiDAR. The results were analyzed on the basis of commission errors (user accuracy), omission errors (producer accuracy) and kappa index. According to Kappa index calculated, all tests showed ratings classified as excellent. The use of integrated LiDAR with orthophotos demonstrated an improvement in refining the results, with higher accuracy in classification and segmentation. The main evidence of environmental impacts is areas with exposed soil related to access roads, implementation of the infrastructure and use/occupation with agriculture. The area related to exposed soil was 16% demonstrating the need for prevention and conservation actions in LT projects.

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Author Biographies

Claudionor Ribeiro Silva, Universidade Federal de Uberlândia Instituto de Geografia

Professor da Universidade Federal de Uberlândia; PhD - Universidade do Porto/Pt (UP); Doutor e Mestre - Universidade Federal do Paraná (UFPR); Eng. Agrimensor - Universidade Federal de Viçosa (UFV); Membro da pós-graduação em Meio Ambiente - UFU; É revisor nos jornais: Boletim de Ciências Geodésicas, Revista Brasileira de Cartografia; International Journal Remote Sensing; Canadian Journal Remote Sensing e outros. Trabalha na área Sensoriamento Remoto, PDI e IA.

Samuel Lacerda de Andrade, Universidade Federal de Uberlândia

Geógrafo formado na Universidade Federal de Uberlândia; Mestrando no programa de pós-graduação em Meio Ambiente e Qualidade Ambiental da Universidade Federal de Uberlândia; Atualmente é técnico do laboratório de Cadastro Técnico e Estudos Ambientais do Instituto de Geografia, na Universidade Federal de Uberlândia.

Admilson Penha Pacheco, Universidade Federal do Pernambuco

Graduado em Física na Universidade Federal do Rio Grande do Norte; M.Sc em Sensoriamente Remoto no INPE ; Doutorado em Geofísica na Universidade de São Paulo; Professor Associado na Universidade Federal de Pernambuco; Membro da pós-graduação em ciências Geodetic Sciences and Technology of Geoinformation (UFPE); Membro da pós-graduação em Geociências; É revisor nos jornais: Boletim de Ciências Geodésicas and Árvore. Trabalha na área de Geofísica; Meio Ambiente e Sensoriamento Remoto.

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Published

2016-01-31

How to Cite

Silva, C. R., Andrade, S. L. de, & Pacheco, A. P. (2016). EVALUATION OF IMAGE PROCESSING TECHNIQUES IN ENVIRONMENTAL IMPACT IDENTIFICATION IN POWERLINE. Ciência E Natura, 38(1), 146–155. https://doi.org/10.5902/2179460X19534

Issue

Vol. 38 No. 1 (2016)

Section

Geo-Sciences

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