Remote sensing techniques for tracking changes caused by illegal gold mining in Madre de Dios, Peru

Author:

Adamek Katarzyna1ORCID,Lupa Michał1ORCID,Zawadzki Mateusz2ORCID

Affiliation:

1. Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection , AGH University of Science and Technology , Kraków , Poland

2. Institute of Socio-Economic Geography and Spatial Management, Department of Cartography and Geomatics, The Faculty of Earth Sciences and Spatial Management , Maria Curie-Sklodowska University , Lublin , Poland

Abstract

Abstract Illegal extraction of gold has grown to be a problem in many countries, causing the degradation of the environment. The main purpose of this paper is to investigate changes in tree cover and surface pollution. The development of a mine site has been observed and analysed with images acquired from Landsat and the Sentinel missions. The results of the study showed changes in the state of the environment, strongly suggesting the possibility of ongoing pyrite weathering processes and the transportation of clay materials down watercourses, which can cause not only the further deterioration of the environment but also slow down the natural regeneration of the forest. In addition, research has found disturbing changes in vegetation, showing a loss of tree cover in the Amazon Rainforest as high as 17%. The validity of using remote sensing methods to observe the development of individual mining sites and their characteristics was confirmed.

Publisher

Walter de Gruyter GmbH

Subject

Earth and Planetary Sciences (miscellaneous)

Reference30 articles.

1. Amazon Conservation Association 2014, Fact sheet: illegal gold mining in Madre de Dios, Peru. Available from: . [10 December 2017].

2. Asner, GP & Tupayachi, R 2017, ‘Accelerated losses of protected forests from gold mining in the Peruvian Amazon’, Environmental Research Letters. IOP Publishing, vol. 12, no.9.

3. Butler, R 2012, Environmental impact of mining in the rainforest. Available from: . [10 December 2017].

4. Claverie, M, Ju J, Masek, JG, Dungan, JL, Vermote, EF, Roger, J, Skakun, SV & Justice, C 2018, ‘The Harmonized Landsat and Sentinel-2 surface reflectance data set’, Remote sensing of environment, Elsevier, vol. 219, pp. 145–161.

5. Congedo, L 2016, Semi-automatic classification plugin documentation Release, 4(0.1), 29. Available from: . [10 December 2017].

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