THE INFLUENCE OF MINING IN THE QUADRILÁTERO FERRÍFERO: LANDSCAPE SPATIAL-TEMPORAL DYNAMICS

Authors

  • Cássia Ribeiro Macedo Post Graduate Program in Forest Science, Department of Forest Engineering, Federal University of Viçosa (Universidade Federal de Viçosa/UFV)
  • Reginaldo Arthur Gloria Marcelino Post Graduate Program in Forest Science, Department of Forest Engineering, Federal University of Viçosa (Universidade Federal de Viçosa/UFV)
  • Arthur Amaral e Silva Post Graduate Program in Civil Engineering, Department of Civil Engineering, Federal University of Viçosa (Universidade Federal de Viçosa/UFV)
  • Juliana Ferreira Lorentz Post Graduate Program in Civil Engineering, Department of Civil Engineering, Federal University of Viçosa (Universidade Federal de Viçosa/UFV)
  • Letícia Rodrigues de Assis Post Graduate Program in Civil Engineering, Department of Civil Engineering, Federal University of Viçosa (Universidade Federal de Viçosa/UFV)
  • Vitor Juste dos Santos Post Graduate Program in Civil Engineering, Department of Civil Engineering, Federal University of Viçosa (Universidade Federal de Viçosa/UFV)
  • Maria Lúcia Calijuri Post Graduate Program in Civil Engineering, Department of Civil Engineering, Federal University of Viçosa (Universidade Federal de Viçosa/UFV)

DOI:

https://doi.org/10.29150/2237-2202.2021.252158

Keywords:

Land Change Modeler, Landscape metrics, Environmental monitoring, Land use and cover, Mining companies

Abstract

The Quadrilátero Ferrífero – QF is the main producer/explorer of iron ore in Brazil, occupying the worldwide leadership group in Mineral Exploration. Considering all the environmental impacts associated with this activity, it is necessary to assess the landscape patterns to support the sustainable planning of mining companies. So, this paper aimed to define the temporal changes in the QF landscape's configuration and composition from 1985 to 2018 and predict 2053. The research was carried out in the QF region, located in Minas Gerais, Brazil. We used classified images of land use/cover from 1985 to 2018 to calculate the landscape metrics and perform the Land Change Modeler tool. Thus, we obtained the landscape patterns over the years and a prediction for 2053. To that content, we used class and landscape metric levels, especially to describe the spatial distribution of land use/cover, and to identify how its composition has changed over the years. The results show that the Forest class contributed the most to Mining, with +0.09% in the area. In addition, the Farming class decreased 12%, with its total area converted among the others land use/cover. Thus, the Forest and Mining patches’ areas raised by 4% and 0.2%, with a tendency for a continuous increase until 2053. However, the forest fragments tended to disaggregate, while the Mining areas tended to become more connected. These results converge to a worrying scenario from an ecological point of view. Therefore, it is necessary to have/search for better supervision related to the compliance of environmental laws to avoid biodiversity losses in mining areas.

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Published

2021-12-17

How to Cite

Macedo, C. R., Marcelino, R. A. G., Amaral e Silva, A., Lorentz, J. F., de Assis, L. R., dos Santos, V. J., & Calijuri, M. L. (2021). THE INFLUENCE OF MINING IN THE QUADRILÁTERO FERRÍFERO: LANDSCAPE SPATIAL-TEMPORAL DYNAMICS. Journal of Hyperspectral Remote Sensing, 11(2), 96–112. https://doi.org/10.29150/2237-2202.2021.252158