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A Remote Sensing methodological approach for monitoring the contamination in Paraopeba River after the disaster in Brumadinho-MG

Authors

  • Neison Cabral Ferreira Freire Fundação Joaquim Nabuco, Instituto de Pesquisas Sociais, Centro Integrado de Estudos Georreferenciados para a Pesquisa Social, Recife, PE http://orcid.org/0000-0003-0153-8964
  • Admilson da Penha Pacheco Universidade Federal de Pernambuco, Centro de Tecnologia, Departamento de Engenharia Cartográfica, Recife, PE https://orcid.org/0000-0002-3635-827X
  • Vinícius D'Lucas Bezerra Queiroz Fundação Joaquim Nabuco, Instituto de Pesquisas Sociais, Centro Integrado de Estudos Georreferenciados para a Pesquisa Social, Recife, PE http://orcid.org/0000-0002-9767-9982

DOI:

https://doi.org/10.5902/2179460X43632

Keywords:

Brumadinho, Disaster, Water Remote Sensing

Abstract

The following article aims to present and discuss the monitoring, through Remote Sensing, of the dirt displacement caused by the collapse of the Córrego do Feijão’s dam I of mining waste, which occurred on January 25, 2019, in the rural area of Brumadinho, a city located in the state of Minas Gerais, Brazil. This event is considered one of the greatest technoindustrial disasters in Brazilian history, placing in danger one of the largest hydrographic basin in Brazil: the São Francisco river basin. The search area comprises from where the sludge mud got in contact with the Paraopeba’s right bank to its mouth into the Três Marias Dam, adding up to approximately 315 km. For this monitoring the spectral band ratio method was utilized,  using images from the sensors MSI/Sentinel-2 and OLI/Landsat-8 captured at different dates, employing standardization of means and variances to harmonize the range of the surface reflectance values in each image.

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Author Biographies

Neison Cabral Ferreira Freire, Fundação Joaquim Nabuco, Instituto de Pesquisas Sociais, Centro Integrado de Estudos Georreferenciados para a Pesquisa Social, Recife, PE

Possui Graduação em Arquitetura e Urbanismo, Especialização em Geoprocessamento, Mestrado em Ciências Geodésicas e Tecnologias da Geoinformação, Doutorado em Geografia e Pós-Doutorado em Ciências Humanas e Sociais. Capacitação em Sensoriamento Remoto. Tem experiência na área de Geociências, com ênfase em Sensoriamento Remoto e Geoprocessamento.. Professor da Facultad Latinoamericana de Ciencias Sociales - Sede Argentina - no Programa de Posgrado en Desarrollo Humano. Professor Colaborador do Programa de Pós-Graduação em Arquitetura e Urbanismo da Universidade Federal de Alagoas. É Pesquisador Titular na Diretoria de Pesquisas Sociais da Fundação Joaquim Nabuco (Fundaj), em Recife-PE, Brasil, onde coordena o Centro Integrado de Estudos Georreferenciados para a Pesquisa Social Mário Lacerda de Melo, além de Coordenador-Geral do Centro de Estudos em Dinâmicas Sociais e Territoriais.

Admilson da Penha Pacheco, Universidade Federal de Pernambuco, Centro de Tecnologia, Departamento de Engenharia Cartográfica, Recife, PE

Físico com Mestrado em Sensoriamento Remoto e Doutorado em Geofísica; Pós-Doutorado no Instituto de Ciências da Terra da Universidade do Minho/Portugal. Professor Titular da Universidade Federal de Pernambuco (Depto. de Engenharia Cartográfica e de Agrimensura). Coordenação e Participação em Projetos de Pesquisa e Desenvolvimento (CNPq, FINEPE, FACEPE, ANEEL, ANA, CHESF, FUNDAJ), atuando nas áreas de Geofísica Aplicada, Meio Ambiente, Sensoriamento Remoto e Processamento de Imagens de Materiais Naturais e Artificiais.

Vinícius D'Lucas Bezerra Queiroz, Fundação Joaquim Nabuco, Instituto de Pesquisas Sociais, Centro Integrado de Estudos Georreferenciados para a Pesquisa Social, Recife, PE

Graduando em Engenharia Cartográfica e Agrimensura. Estagiou no Centro Integrado de Estudos Georreferenciados e, foi bolsista de iniciação científica pelo CNPq/UFPE.

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Published

2021-05-19

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How to Cite

Freire, N. C. F., Pacheco, A. da P., & Queiroz, V. D. B. (2021). A Remote Sensing methodological approach for monitoring the contamination in Paraopeba River after the disaster in Brumadinho-MG. Ciência E Natura, 43, e36. https://doi.org/10.5902/2179460X43632

Issue

Vol. 43 (2021): Continuous Publication

Section

Geography

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