References
- Amazon Conservation Association 2014, Fact sheet: illegal gold mining in Madre de Dios, Peru. Available from: <
http://www.amazonconservation.org/ >. [10 December 2017]. - 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.
- Butler, R 2012, Environmental impact of mining in the rainforest. Available from: <
https://rainforests.mongabay.com/ >. [10 December 2017]. - 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.
- Congedo, L 2016, Semi-automatic classification plugin documentation Release, 4(0.1), 29. Available from: <
https://semiautomaticclassificationmanual.readthedocs.io/ >. [10 December 2017]. - ESA, eoPortal Directory. Available from: <
https://earth.esa.int/web/eoportal/satellite-missions/l/landsat-7 >. [April 2020]. - ESA [2], SENTINEL-2 - Missions - Sentinel Online. Available from: <
https://sentinel.esa.int/web/sentinel/missions/sentinel-2 >. [12 September 2019]. - ESA [3], Sentinel Online. Available from: <
https://sentinel.esa.int/web/sentinel/missions/sentinel-2/instrument-payload/resolution-and-swath >. [5 April 2020]. - Heck, C 2014, ‘La realidad de la minería ilegal en países amazónicos’ [‘The reality of illegal mining in Amazonian countries’], Sociedad Peruana de Derecho Ambiental.
- INGEMMET, Mapa Geológico del departamento de Madre de Dios [Geological Map of the department of Madre de Dios], INGEMMET (Instituto Geológico Minero y Metalúrgico Lima), Peru.
- Forest, J 2012, ‘Rainforest biodiversity – the management challenges: Case study of the Tambopata Region, South-East Peru’, Geofile Online for AQA, vol. 4, no. 2.
- Kopačková V 2019, ‘Mapping Acid Mine Drainage (AMD) and Acid Sulfate Soils Using Sentinel-2 Data’, in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, pp. 5682–5685.
- Knepper, D H 2010, ‘Distribution of potential hydrothermally altered rocks in central Colorado derived from Landsat Thematic Mapper data: A geographic information system data set’, A geographic information system data set: U.S. Geological Survey Open-File Report 2010-1076. Available from: <
https://pubs.usgs.gov/of/2010/1076/downloads/OF10-1076.pdf >. [10 December 2017]. - Lanckneus, J 1991, ‘Los placeres de Madre de Dios (SE Peru) [The deposits of Madre de Dios (SE Peru)]’ in Gisements alluviaux d’or = Alluvial gold placers = Yacimientos aluviales de oro, eds. G Hérail & M Fornari, ORSTOM, pp. 89–102.
- Lei, L, Song, C, Xie, X, Li, Y & Fei, W 2010, ‘Acid mine drainage and heavy metal contamination in groundwater of metal sulfide mine at arid territory (BS mine, Western Australia).’ Transactions of Nonferrous Metals Society of China, vol. 20, no. 8, pp. 1488–1493.
- Lobo, F de L, Souza-Fliho, PWM, Novo, EML de M, Carlos, FM & Barbosa, CCF 2018, ‘Mapping mining areas in the brazilian amazon using msi/sentinel-2 imagery (2017)’, Remote Sensing. Multidisciplinary Digital Publishing Institute, vol. 10, no. 8.
- Lupa, M & Lesniak, A 2015, ‘New prospects for automated geological mapping with Sentinel-2 multispectral instrument’ in 16th Czech - Polish workshop ON RECENT GEODYNAMICS OF THE SUDETY MTS. AND ADJACENT AREAS.
- Olofsson, P, Holden, CE, Bullock, EL & Woodcock, CE 2016, ‘Time series analysis of satellite data reveals continuous deforestation of New England since the 1980s’, Environmental Research Letters, vol. 11, no. 6, IOP Publishing.
- Persson, M 2009, Mining activity impact on fluvial sediments in the sw Amazon drainage basin, Peru, University of Gothenburg.
- Rockwell, BW 2013, ‘Automated mapping of mineral groups and green vegetation from Landsat Thematic Mapper imagery with an example from the San Juan Mountains, Colorado’ US Geological Survey Scientific Investigations Map, vol. 3252.
- Rouse, JW, Haas, RH, Schell, JA, & Deering, DW 1973, Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation, Progress Report.
- Seifi, A, Hosseinjanizadeh, M, Ranjbar, H & Honarmand, M 2019, ‘Identification of acid mine drainage potential using sentinel 2a imagery and field data’, Mine Water and the Environment. Springer, vol. 38, no. 4, pp. 707–717.
- Swenson, JJ, Carter, CE, Domec, J & Delgado, CI 2011, ‘Gold mining in the Peruvian Amazon: global prices, deforestation, and mercury imports’ PloS one, vol. 6, no. 4.
- Tutor, FV, Murciego, AM, Valle, PA, Ayuso, EÁ, Pascual, EP & Sánchez, AG 2013, ‘Weathering products of arsenopyrite and pyrite from El Bollo mine wastes (Salamanca, Spain) and their environmental hazards’ Revista De La Sociedad Española De Mineralogía, vol. 17, pp. 111–112.
- UNODC 2016, Colombia. Explotación de oro de aluvión. Evidencias a partir de percepción remota [Colombia. Exploitation of alluvium gold. Remote sensing evidences], United Nations Office on Drugs and Crime. Available from: <
https://www.unodc.org/ >. [10 December 2019]. - Viljo, K, Hilkka, A, Francis, C, Eija, H, Jukka, L & Maarit, M 2003, Guidelines for Image Processing procedures and algorithms for mining related contamination and impact detection from airborne imaging spectroscopy. Available from: <
http://tupa.gtk.fi/ >. [10 December 2019]. - Viña, A, Echavarria, FR & Rundquist, DC 2004, ‘Satellite change detection analysis of deforestation rates and patterns along the Colombia–Ecuador border’, AMBIO: A Journal of the Human Environment. BioOne, vol. 33, no. 3, pp. 118–125.
- Wagner, L 2016, Organized crime and illegally mined gold in Latin America. Available from: <
https://globalinitiative.net/organized-crime-and-illegally-mined-gold-in-latin-america/ >. [10 December 2019]. - World Resource Institute 2018, Global forest watch. Available from:<
http://www.globalforestwatch.org/map/ >. [5 September 2019]. - Zagajewski, B 2000, ‘Remote sensing measurements of lead concentration in plants’ Miscellanea Geographica, vol. 9, no. 1, pp. 267–282.