Skip to main content

Determination of Illegal Signs of Coal Mining Expansion in Thai Nguyen Province, Vietnam from a Combination of Radar and Optical Imagery

  • Conference paper
  • First Online:
Advances in Geospatial Technology in Mining and Earth Sciences (GTER 2022)

Abstract

Vietnam has diverse and rich natural resources with over 5000 mines and 60 different types of minerals. Mineral activities in Vietnam are licensed by the Government and must ensure to protect the environment and daily activities. However, due to the high profits generated from mining, there have been many illegal mining activities taking place all over Vietnam. One of the causes leading to this situation is the insufficiency in monitoring and managing resources and minerals. Additionally, many mines are located in the forest which is difficult to detect. Therefore, in this study, we adopt Sentinel-1 radar satellite image and Sentinel-2 multi-temporal satellite image to determine illegal coal mining activities at the Minh Tien coal mine, Thai Nguyen province, Vietnam. The research method includes applying Google Earth Engine (GEE) for processing the Sentinel-1 images in both ascending and descending directions and Sentinel-2 optical images to calculate the Normalized Difference Vegetation Index (NDVI) series to control the different trends from 2016 to 2021. NDVI is then employed to mask the areas with vegetation that witness no abrupt changes in the land cover. This NDVI also acts as the basis for collecting samples for Random Forest classification of the Sentinel-2 images. The results from Sentinel-1 and Sentinel-2 combined with MASK from NDVI have determined the expansion area of the Minh Tien coal mine. The results are compared with those published on the website of Thai Nguyen Portal and have a significant similarity.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mossa, J., James, L.: 13.6 Impacts of mining on geomorphic systems. (2013)

    Google Scholar 

  2. Kotaridis, I., Lazaridou, M.: Delineation of open-pit mining boundaries on multispectral imagery. Kotaridis, I. and Lazaridou, M.(2020).‘Delineation of Open-Pit Mining Boundaries on Multispectral Imagery’. in Remote Sensing. IntechOpen. doi 10 (2020)

    Google Scholar 

  3. Werner, T.T., Mudd, G.M., Schipper, A.M., Huijbregts, M.A., Taneja, L., Northey, S.A.: Global-scale remote sensing of mine areas and analysis of factors explaining their extent. Glob. Environ. Chang. 60, 102007 (2020)

    Article  Google Scholar 

  4. Molaei, F., Rahimi, E., Siavoshi, H., Afrouz, S.G., Tenorio, V.: A comprehensive review on internet of things (IoT) and its implications in the mining industry. Am. J. Eng. Appl. Sci. 13, 499–515 (2020)

    Article  Google Scholar 

  5. Karan, S.K., Samadder, S.R., Maiti, S.K.: Assessment of the capability of remote sensing and GIS techniques for monitoring reclamation success in coal mine degraded lands. J. Environ. Manage. 182, 272–283 (2016)

    Article  PubMed  Google Scholar 

  6. Tran, V.A., Bui, X.N., Nguyen, Q.L., Tran, T.-A.: Land subsidence detection in Tan My-Thuong Tan open pit mine and surrounding areas by time series of sentinel-1 images. Inżynieria Mineralna (2020)

    Google Scholar 

  7. Nam, B.X., Anh, T.V., Bui, L.K., Long, N.Q., Thu Ha, T.L., Goyal, R.: Mining-induced land subsidence detection by persistent scatterer InSAR and sentinel-1: application to Phugiao Quarries, Vietnam. In: Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining, pp. 18–38. Springer (2020)

    Google Scholar 

  8. Nguyen, Q.L., Tran, V.A., Bui, K.L.: Determination of ground subsidence by sentinel-1 SAR data (2018–2020) over Binh Duong Quarries, Vietnam. VNU J. Sci.: Earth Environ. Sci. 37 (2021)

    Google Scholar 

  9. LaJeunesse Connette, K.J., Connette, G., Bernd, A., Phyo, P., Aung, K.H., Tun, Y.L., Thein, Z.M., Horning, N., Leimgruber, P., Songer, M.: Assessment of mining extent and expansion in Myanmar based on freely-available satellite imagery. Remote Sens. 8, 912 (2016)

    Google Scholar 

  10. Li, N., Yan, C., Xie, J.: Remote sensing monitoring recent rapid increase of coal mining activity of an important energy base in northern China, a case study of Mu Us Sandy Land. Resour. Conserv. Recycl. 94, 129–135 (2015)

    Article  Google Scholar 

  11. Demirel, N., Düzgün, Ş, Emil, M.K.: Landuse change detection in a surface coal mine area using multi-temporal high-resolution satellite images. Int. J. Min. Reclam. Environ. 25, 342–349 (2011)

    Article  Google Scholar 

  12. Guan, C., Zhang, B., Li, J., Zhao, J.: Temporal and spatial changes of land use and landscape in a coal mining area in Xilingol grassland. In: IOP Conference Series: Earth and Environmental Science, pp. 012052. IOP Publishing, (2017)

    Google Scholar 

  13. Latifovic, R., Fytas, K., Chen, J., Paraszczak, J.: Assessing land cover change resulting from large surface mining development. Int. J. Appl. Earth Obs. Geoinf. 7, 29–48 (2005)

    ADS  Google Scholar 

  14. Maxwell, A.E., Warner, T.A., Strager, M.P., Pal, M.: Combining RapidEye satellite imagery and Lidar for mapping of mining and mine reclamation. Photogramm. Eng. Remote. Sens. 80, 179–189 (2014)

    Article  Google Scholar 

  15. Demirel, N., Emil, M.K., Duzgun, H.S.: Surface coal mine area monitoring using multi-temporal high-resolution satellite imagery. Int. J. Coal Geol. 86, 3–11 (2011)

    Article  CAS  Google Scholar 

  16. Townsend, P.A., Helmers, D.P., Kingdon, C.C., McNeil, B.E., de Beurs, K.M., Eshleman, K.N.: Changes in the extent of surface mining and reclamation in the Central Appalachians detected using a 1976–2006 Landsat time series. Remote Sens. Environ. 113, 62–72 (2009)

    Article  ADS  Google Scholar 

  17. Mutanga, O., Kumar, L.: Google earth engine applications. vol. 11, pp. 591. Multidisciplinary Digital Publishing Institute (2019)

    Google Scholar 

  18. Midekisa, A., Holl, F., Savory, D.J., Andrade-Pacheco, R., Gething, P.W., Bennett, A., Sturrock, H.J.: Mapping land cover change over continental Africa using Landsat and google earth engine cloud computing. PLoS ONE 12, e0184926 (2017)

    Article  PubMed  PubMed Central  Google Scholar 

  19. Carrasco, L., O’Neil, A.W., Morton, R.D., Rowland, C.S.: Evaluating combinations of temporally aggregated Sentinel-1, Sentinel-2 and Landsat 8 for land cover mapping with google earth engine. Remote Sens. 11, 288 (2019)

    Article  ADS  Google Scholar 

  20. Lobo, F.D.L., Souza-Filho, P.W.M., Novo, E.M.L.D.M., Carlos, F.M., Barbosa, C.C.F.: Mapping mining areas in the Brazilian amazon using msi/sentinel-2 imagery (2017). Remote Sensing 10, 1178 (2018)

    Google Scholar 

  21. Sentinel, E.: User Handbook. ESA Standard Document 64

    Google Scholar 

  22. Arévalo, P., Bullock, E.L., Woodcock, C.E., Olofsson, P.: A suite of tools for continuous land change monitoring in google earth engine. Frontiers Clim. 26 (2020)

    Google Scholar 

  23. Zhu, Z., Woodcock, C.E.: Continuous change detection and classification of land cover using all available Landsat data. Remote Sens. Environ. 144, 152–171 (2014)

    Article  ADS  Google Scholar 

  24. Van Anh, T., Le, L.T., Hung, N.N., Nghi, L.T., Hanh, T.H.: Monitoring vegetation cover changes by sentinel-1 radar images using random forest classification method. Inżynieria Mineralna 1 (2021)

    Google Scholar 

  25. Breiman, L.: Random forests. Mach. Learn. 45, 5–32 (2001)

    Article  MATH  Google Scholar 

  26. Akcin, H., Kutoglu, H., Deguchi, T., Koksal, E.: Monitoring subsidence effects in the urban area of Zonguldak Hardcoal Basin of Turkey by InSAR-GIS integration. Nat. Hazard. 10, 1807 (2010)

    Article  Google Scholar 

  27. Adriano, B., Yokoya, N., Miura, H., Matsuoka, M., Koshimura, S.: A semiautomatic pixel-object method for detecting landslides using multitemporal ALOS-2 intensity images. Remote Sens. 12, 561 (2020)

    Article  ADS  Google Scholar 

  28. Mondini, A.C., Santangelo, M., Rocchetti, M., Rossetto, E., Manconi, A., Monserrat, O.: Sentinel-1 SAR amplitude imagery for rapid landslide detection. Remote Sens. 11, 760 (2019)

    Google Scholar 

  29. Rignot, E.J., Van Zyl, J.J.: Change detection techniques for ERS-1 SAR data. IEEE Trans. Geosci. Remote Sens. 31, 896–906 (1993)

    Article  ADS  Google Scholar 

  30. Thai Nguyen Portal, 12/6/2022, https://thainguyen.gov.vn/bai-viet-ve-thai-nguyen/-/asset_publisher/L0n17VJXU23O/content/thai-nguyennhieu-sai-pham-tai-mo-than-minh-tien-a-uoc-huyen-ai-tu-canh-bao-truoc/20181

Download references

Acknowledgements

We would like to thank Google provided Google Earth Engine development platform for processing data. Thank to ISRM Reasearch Group for providing a lot of valuable information about the mining situation in Thai Nguyen area.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tran Van Anh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Van Anh, T. et al. (2023). Determination of Illegal Signs of Coal Mining Expansion in Thai Nguyen Province, Vietnam from a Combination of Radar and Optical Imagery. In: Nguyen, L.Q., Bui, L.K., Bui, XN., Tran, H.T. (eds) Advances in Geospatial Technology in Mining and Earth Sciences. GTER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-20463-0_14

Download citation

Publish with us

Policies and ethics