Abstract
Land degradation is a global challenge with profound impacts on both people’s livelihoods and the environment. Mining activities present significant environmental challenges, necessitating effective monitoring and management strategies for land impacted by post-mining activities. Remote sensing has emerged as a crucial tool for monitoring land degradation and its spatial patterns in mining regions. However, there are several challenges that impede the successful application of earth observation data in these contexts. This paper comprehensively examines the importance of earth observation data in understanding trends and occurrences of land degradation in mining and post-mining areas. Firstly, it provides background information on the extent, causes, forms, and dynamics of land degradation in these regions. Subsequently, an overview of available earth observation data is presented, encompassing remote sensing variables, parameters, characteristics, and associated challenges in using them for monitoring land degradation in mining areas. Lastly, the paper discusses the primary obstacles to the promotion and utilization of these data for environmental monitoring in mining activities.
Similar content being viewed by others
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Adeel Z, Safriel U, Niemeijer D, White R (2005) Ecosystems and human well-being: desertification synthesis. The Millennium Ecosystem Assessment, World Resources Institute, Washington, D.C
Aw-Hassan A, Korol V, Nishanov N, Djanibekov U, Dubovyk O, Mirzabaev A (2016) Economics of land degradation and improvement in Uzbekistan. In: Nkonya E, Mirzabaev A, von Braun J (eds) Economics of land degradation and improvement–A global assessment for sustainable development. Springer International Publishing, Heidelberg, pp 651–682
Aznar- Sánchez JA, García-Gomez JJ, Velasco-Munoz JF, Carretero-Gomez A (2018) Mining waste and its sustainable management: advances in worldwide research. Minerals 8:1–27
Barvels E, Fensholt R (2021) Earth observation–based detect ability of the effects of land management programmes to counter land degradation: a case study from the highlands of the Ethiopian Plateau. Remote Sens 13:1297
Berhe AA (2007) The contribution of landmines to land degradation. Land Degrad Dev 18:1–15. https://doi.org/10.1002/ldr.754
Bouaziz M, Guermazi H, Khcharem K, Meszner S, Sarbeji MM (2019) Aerosol uncertainty assessment: An integrated approach of remote AQUA MODIS and AERONET data. Arab J Geosci 12:1–9
Bridges EM, Oldeman LR (1999) Global Assessment of Human-Induced Soil Degradation. Arid Soil Res Rehabil 13(4):319–325. https://doi.org/10.1080/089030699263212
Buenemann M, Martius C, Jones JW, Herrmann SM, Klein D, Mulligan M, Ojima D (2011) Integrative geospatial approaches for the comprehensive monitoring and assessment of land management sustainability: Rationale, potentials, and characteristics. Land Degrad Dev 22(2):226–239
Canbulat I. Zhang, Black C, Johnston K, McDonald JS (2017) Assessment of sinkhole risk in shallow coalmining. Proceedings of the 10th Triennial Conference on Mine Subsidence. p. 331–347.
Dietz AJ, Conrad C, Kuenzer C, Gesell G, Dech S (2014) Identifying changing snow cover characteristics in Central Asia between 1986 and 2014 from remote sensing data. Remote Sens 6(12):12752–12775. https://doi.org/10.3390/rs61212752
Dudek M, Tajdus K, Misa R, Sroka A (2020) Predicting of land surface uplift caused by the flooding of underground coal mines—a case study. Int J Rock Mech Min Sci 132:104377
Dynowski A, Benndorf J (2022) Multi-spectral satellite based environmental monitoring for post mining landscapes. Master‘s thesis, Wroclaw University of technologie, Poland & TU Bergakademie Freiberg, Germany
Esch T, Himmler V, Schorcht G, Thiel M, Wehrmann F, Bachofer C, Conrad M, Schmidt SD (2009) Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data. Remote Sens Environ 113(8):1678–1690
FAO (2021) Sustainable Land Management. Food and Agriculture Organization of the United Nations. https://www.fao.org/land-degradation/sustainable-land-management/en/
Glantz M (1999) Creeping environmental problems and sustainable development in the Aral Sea Basin. Cambridge University Press, Cambridge
Karagüzel R, Mahmutoglu Y, Erdo ˘gan Topçuo ˘glu M, Sans G, Dikbas A (2020) Susceptibility mapping for sinkhole occurrence by GIS and SSI Methods: a case study in Afsin-Elbistan Coal Basin. Pamukkale Univ J Eng Sci 26:1353–1359
Kretschmann J, Nguyen N (2020) Research areas in post-mining—experiences from German hard coal mining. Inżynieria Miner 1:255–262
Kuenzer C, Ottinger M, Liu G, Sun B, Baumhauer R, Dech S (2014) Earth observation-based coastal zone monitoring of the yellow river delta: dynamics in China’s second largest oil producing region over four decades. Appl Geogr 55:92–107
Lantieri L (2003) The use of remote sensing in assessing the state of land degradation. Land Degrad Dev 14(3):245–259
Lorenz K, Lal R, Ehlers K (2019) Soil organic carbon stock as an indicator for monitoring land and soil degradation in relation to 611 United Nations’ Sustainable Development Goals. Land Degrad Dev 30:824–838
Nkonya E, Mirzabaev A, von Braun J (2016) The economics of land degradation: an assessment of the global costs and benefits of action to combat desertification. Land Degrad Dev 27(1):14–23
Park I, Lee J, Saro L (2014) Ensemble of ground subsidence hazard maps using fuzzy logic. Open Geosci 6:207–218
Reynolds JF, Smith S, Lambin DK, Turner EF II, Mortimore BL, Batterbury M, Dowing SPJ, Th Dowlatabadi EH, Fernández RJ, Herrick JE, Huber Sannwald E, Jiang H, Leemans R, Lynam T, Maestre FT, Ayarza M, Walker B (2007) Global desertification: building a science for dryland development. Science 316:847–851
Röder MH, Seifert T, Ruppert N (2008) Monitoring land degradation in arid and semi-arid regions using remote sensing data. Phys Chem Earth 33(12–13):887–899
Sedlák V, Poljakoviˇc P (2020) Particularities of deformation processes solution with GIS application for mining landscape reclamation in East Slovakia. J Geogr Cartogr 3:28–39
Sonter LJ, Dade MC, Watson JEM et al (2020) Renewable energy production will exacerbate mining threats to biodiversity. Nat Commun 11:4174
Strzałkowski P, Scigała R (2020) Assessment of post-mining terrain suitability for economic use. Int J Environ Sci Technol 17:3143–3152
Vervoort A, Declercq PY (2017) Surface movement above old coal longwalls after mine closure. Int J Min Sci Technol 27:481–490
Vogt JV, Safriel U, Von Maltitz G, Sokona Y, Zougmore R, Bastin G, Hill J (2011) Monitoring and assessment of land degradation and desertification: Towards new conceptual and integrated approaches. Land Degrad Dev 22(2):150–165. https://doi.org/10.1002/ldr.1075
Funding
No funding was obtained for this study.
Author information
Authors and Affiliations
Contributions
M.B. performed the study and wrote the main content of the manuscript. J.B. improved the content and reviewed the main manuscript text and figures.
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare no conflicts of interest.
Additional information
Responsible Editor: Riheb Hadji.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Bouaziz, M., Benndorf, J. Remote monitoring of land degradation in the mining context: an updated review focusing on potentials and challenges. Euro-Mediterr J Environ Integr (2024). https://doi.org/10.1007/s41207-024-00479-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s41207-024-00479-2