Journal of Geosciences and Geomatics. 2024, 12(1), 12-23
DOI: 10.12691/JGG-12-1-3
Original Research

Mapping Land use/Land Cover Changes Caused by Mining Activities from 2018 to 2022 Using Sentinel-2 Imagery in Bétaré-Oya (East-Cameroon)

P. Azinwi Tamfuh1, 2, , E. Ndah Musi1, S.C. Nguemhe Fils3, K.I. Ateh1, A.B. Aye1, E. Tata1, L. E. Mamdem4, B. Kenzong2, G. D. Kouankap Nono5 and Dieudonné Bitom2

1Department of Mining and Mineral Engineering, National Higher Polytechnic Institute, University of Bamenda, P. O. Box 39 Bambili, Cameroon

2Department of Soil Science, Faculty of Agronomy and Agricultural Sciences, University of Dschang, P. O. Box 222, Dschang, Cameroon

3Institute of Geological and Mining Research, P.O. Box 4110, Yaoundé, Cameroon

4Department of Earth Sciences, Faculty of Science, University of Yaoundé I, P.O. Box 812, Yaoundé, Cameroon

5Department of Geology, Higher Teacher Training College, P.O. Box 20, Bamenda, Cameroon

Pub. Date: March 29, 2024

Cite this paper

P. Azinwi Tamfuh, E. Ndah Musi, S.C. Nguemhe Fils, K.I. Ateh, A.B. Aye, E. Tata, L. E. Mamdem, B. Kenzong, G. D. Kouankap Nono and Dieudonné Bitom. Mapping Land use/Land Cover Changes Caused by Mining Activities from 2018 to 2022 Using Sentinel-2 Imagery in Bétaré-Oya (East-Cameroon). Journal of Geosciences and Geomatics. 2024; 12(1):12-23. doi: 10.12691/JGG-12-1-3

Abstract

Artisanal mining is often associated with land use and land cover (LULC) changes like deforestation, open pits, health hazards, heavy metals contamination of land, land degradation, dust and noise pollution, soil instability, climate change, etc. This research aims to monitor LULC changes between 2018 and 2022 in East Cameroon due to artisanal gold mining activities, assessing the dynamics between LULC change types and the extent of change with time. Sentinel-2 images for 2018, 2020, and 2022 were used to examine LULC patterns at per-pixel scale with a post-classification change detection technique based on a cross matrix of changes. Supervised classification was carried using maximum likelihood algorithm of five LULC classes (bare land, vegetation, water bodies, settlements and mining activities). The results revealed spatio-temporal change patterns that have taken place in Betare-Oya. It was observed that the area under mining activities has increased from 2042.32 ha in 2018 to 3197.03 in 2020 and experienced a sharp decline to 2008.72 ha in 2022 probably as a result of the COVID-19 pandemic; with an overall percentage change from 3.95 % to 6.18 % and 3.89 % for 2018, 2020 and 2022, respectively. Also, results showed the change in vegetation from 21718.36 ha in 2018 to 16189.78 ha in 2020. In 2022, vegetation slightly increased to 16563.88 ha as a result of the fluctuation in mining activities, showing an inverse interaction between mining activities and vegetation. This study emphasizes the usefulness of Sentinel-2 data and highlights the data processing methods for long-term monitoring of the impacts of artisanal mining activities on the environment. This research will add to already existing database on LULC changes in Cameroon as a result of mining activities.

Keywords

Sentinel-2 Imagery, LULC changes, artisanal mining, Spatio-Temporal maps, East Cameroon

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  Ahmad N, Pandey P, (2018) Assessment and Monitoring Of Land Degradation Using Geospatial Technology In Bathinda District, Punjab, India Centre for Environmental Sciences and Technology, Central University of Punjab, Bathinda, Punjab-151001, India. Solid Earth 9: 75–90.
 
[2]  Mbaya RP, (2013) Land Degradation Due To Mining: The Gunda Scenario International Journal of Geography and Geology 2(12): 144-158.
 
[3]  Sahu HB, Er SD, (2011) Land Degradation due to Mining in India and its Mitigation Measures. In: 2nd International Conference on Environmental Science and Technology, Feb 26-28, 2011, IEEE, and Singapore, pp. 2-20.
 
[4]  Marangoz AM, Sekertekin A, Akçin H (2017) Analysis of land use land cover classification results derived from sentinel-2 image, in: Proceedings of the 17th International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, pp. 25-32.
 
[5]  Kamga MA, Nguemhe Fils SC, Ayodele MO, et al. (2020) Evaluation of land use/land cover changes due to gold mining activities from 1987 to 2017 using landsat imagery, East Cameroon. GeoJournal 85: 1097–1114.
 
[6]  Gadal S, Gérard P, Gbetkom A, Mfondoum HN, (2021) A new soil degradation method analysis by Sentinel-2 images combining spectral indices and statistics analysis: application to the Cameroonian shores of Lake Chad and its hinterland. In: 7th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), Zurich, pp.25-36.
 
[7]  BASIR CM, Hasanah U, Nur I, and Serikawa Y, (2011) Gold Mining Activities and Its Impacts on Land Degradation in Central Sulawesi Indonesia. Journal of Ecotechnology Research 16(3-4): 79- 83.
 
[8]  Hill MJ, Braaten R, Veitch SM, Lees BG, Sharma S, (2005) Multi-Criteria Decision Analysis In Spatial Decision Support: the Assess Analytic Hierarchy Process And The Role of quantitative methods and spatially explicit analysis. Environ. Modell. Softw. 20: 955–976.
 
[9]  De jong M.S, Freek D, van der M, Jan GPW, Clevers, (2015) Remote Sensing Image Analysis: Including the Spatial Domain, 1–15, Springer
 
[10]  Charou E, Stefouli M, Dimitrakopoulos D, Vasiliou E, Mavrantza O, (2010) Using Remote Sensing to Assess Impact of Mining Activities on Land and Water Resources. 29(1):45-52.
 
[11]  Violeta D, Poenaru C, Alexandru B, et a. (2011) Land degradation monitoring in the Ocnele Mari salt mining area using satellite imagery. University of Agronomical Science and Veterinary Medicine, Bucharest. https: // www.researchgate.net/ publication/235888900_ [accessed Oct 20 2023].
 
[12]  Kiran S, Rohit K, and Kakoli G, (2018). Land Use/Land Cover Dynamics During 2001 And 2021 Using Google Earth Engine and GIS in Ramagundam Coal Mining Area, A Part of Pranhita Godavari Valley, Southern India, Geology Discipline, School of Sciences, Indira Gandhi National Open University, New Delhi, India.
 
[13]  Manga EV, Nchang GN, Suh CE, (2017) Environmental geochemistry of mine tailings soils in the artisanal gold mining district of Bétaré-Oya, Cameroon. 6(1):52-61.
 
[14]  Tehna N, Nguene FD, Etame J, Medza EM, Noa Tang S, Suh EC, Bilong P, (2015) Impending Pollution of Bétaré Oya Opencast Mining Environment (Eastern Cameroon). Journal of Environmental Science and Engineering B 4: 37-46.
 
[15]  Nodem FR, Sangodoyin AYM, Kegne FN, (2018) Spatial Assessment of Impacts of Artisanal and Small-scale Mining on Land Cover and Environment, Batouri, Eastern Cameroun. African Journal of Land Policy and Geospatial Sciences 2 (3): 85-96.
 
[16]  Olsson L, Barbosa H, Bhadwal S, et al. (2019) Land Degradation. In: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. : accessed on 20-10-2023 at 2.45 am.
 
[17]  Voundi E, Mbevo PF, Essigue PE (2019) Analyse des mutations socio-environnementales induites par l’exploitation miniere a Betare-Oya, Est-Cameroun. Vertigo 19 (1). mis en ligne le 05 mars 2019, consulté le 20 octobre 2023. URL: http:// journals.openedition.org/vertigo/24329.
 
[18]  Temgoua L, Ajonina G, Woyu H, (2018) Land use and land cover change analysis in Ajei Upland Watershed Community Forest, North West Region, Cameroon. Journal of Geoscience and Environment Protection, 6: 83-99.
 
[19]  Toteu SF, Penaye J, Poudjom DY, (2004) Geodynamic Evolution of the Pan-African Belt in Central Africa with Special Reference to Cameroon. Canadian J. Earth Science 41: 73–85
 
[20]  Mimba ME, Ohba T, Nguemhe SCF, Wirmvem MJ, et al. (2017). Regional Hydrogeochemical Mapping for Environmental Studies in the Mineralized Lom Basin, East Cameroon: A Pre-industrial Mining Survey. Hydrology 5 (2): 15-31.
 
[21]  https://earth.esa.int/eogateway/instruments/ etm-landsat-7-/products-information/. Accessed on 12-06-2022 at 7.50 pm.
 
[22]  https://www.esa.int/ Applications/ Observing_the_Earth/ Copernicus/ Sentinel-2. Accessed on 12-06-2022 at 7.58 pm.
 
[23]  Gascon F, Cadau E, Colin O et al. (2014). Copernicus Sentinel-2 mission: products, algorithms and Cal/Val. In Earth observing systems XIX (Vol. 9218, p. 92181E). International Society for Optics and Photonics.
 
[24]  Pei W, Yao S, Knight F. et al. (2017) Mapping and detection of land use change in a coal mining area using object-based image analysis. 76(3): 125-136.
 
[25]  Denègre J, (2013) Thematic mapping from satellite imagery: a guidebook. Elsevier, London.
 
[26]  Sathya P, Baby V, (2019) Classification Process of Satellite Images. International Journal of Computer Application 9 (1): 2250-1797.
 
[27]  Rwanga S, Ndambuki J, (2017) Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. International Journal of Geosciences (8): 1-5.
 
[28]  Bogoliubova A, Tymków P, (2014) Accuracy assessment of automatic image processing for land cover classification of St. Petersburg protected area. Acta Sci. Pol. Geod. Descr. Terr., 13 (1-2), 5–22.
 
[29]  Farah A, Algout A, Algouti A, et al. (2021) Mapping of soil degradation in semi-arid environments in the ouarzazate basin in the south of the central High Atlas, Morocco, using Sentinel-2A data. , 100548.
 
[30]  Jong SMD, Meer FD, Clevers JG (2004). Basics of remote sensing. In Remote sensing image analysis: Including the spatial domain (pp. 1-15). Springer, Dordrecht.
 
[31]  Hilson G, Van Bockstael S, Sauerwein T, et al. (2021). Artisanal and small-scale mining, and COVID-19 in sub-Saharan Africa: A preliminary analysis. World Development 139: 105315.
 
[32]  Singh RK, Singha M, Singh SK et al. (2018). Land use/land cover change detection analysis using remote sensing and GIS of Dhanbad district, India. 6(2): 1-12.