Analysis of vegetation recovery in areas impacted by bauxite mining in the Amazon Forest
| Autor: | Jonilton Pantoja Paschoal, Daniel Loebmann, Luiz Eduardo Vicente, Juli Lage de Souza Silva, Victor Paulo Peçanha Esteves, Cláudia do Rosário Vaz Morgado, Raíssa André de Araujo |
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| Rok vydání: | 2021 |
| Předmět: |
Economics and Econometrics
Biomass (ecology) Environmental Engineering Amazon rainforest 020209 energy Forestry Context (language use) 02 engineering and technology Vegetation Enhanced vegetation index 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences General Business Management and Accounting Disturbance (ecology) Deforestation 0202 electrical engineering electronic engineering information engineering Environmental Chemistry Environmental science Composite index 0105 earth and related environmental sciences |
| Zdroj: | Clean Technologies and Environmental Policy. 23:1617-1640 |
| ISSN: | 1618-9558 1618-954X |
| Popis: | Mining activity is essential for the Brazilian economy, representing 21% of exports in 2018, but it causes several environmental impacts, including deforestation. To minimize these impacts, replanting techniques are applied for environmental recovery and regulatory compliance. In this context, this study aims to monitor vegetation recovery in decommissioned bauxite mining areas located in the Amazon rainforest. The case study was carried out in the municipality of Paragominas (state of Para). The monitoring used the series of a newly defined spectral index, called Biomass Composite Index (BCI), and the Enhanced Vegetation Index (EVI), both from Landsat images between 1986 and 2017. The analysis was complemented by interpretation of false-color images and by in situ photographs. The method was applied for periods before mining, during exploitation, and after decommissioning, when the traditional planting technique was implemented. BCI demonstrated greater sensitivity to forest disturbance in areas affected by forest degradation and less influence of canopy homogeneity where the forest was substituted by more open formations. The height homogeneity of recovered areas also affected the EVI data more than the BCI data, since these areas presented higher values of EVI, and some areas had index values close to those detected before mine operation. The analysis could have benefited from sampling intensification, with more images analyzed per year, to overcome the presence of clouds, which block the acquisition of surface data by the sensor. Nevertheless, the method proved to be very promising and can improve the evaluation of forest recomposition even in remote areas, besides facilitating large-scale monitoring of recovered forests. |
| Databáze: | OpenAIRE |
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