Research Article
BibTex RIS Cite

Investigation of the Use of Coal in Remote Sensing (RS) Methods and Geographical Information Systems (GIS) Tools Based on Bibliometric Analysis

Year 2025, Volume: 8 Issue: 3, 605 - 615, 15.05.2025
https://doi.org/10.34248/bsengineering.1603394

Abstract

Coal mining remains a critical energy source for industrialised societies. However, the environmental and ecological impacts of coal mining have highlighted the need to develop sustainable and environmentally friendly mining practices. Remote Sensing (RS) and Geographic Information Systems (GIS) are emerging as powerful tools for coal exploration, monitoring and environmental impact assessment. This study was conducted to examine the academic researches on GIS and RS in coal between 2000-2023 with bibliometric analysis and to determine future expectations. In order to obtain objective and comprehensive results in the study, data from the WoS database were used. The studies were analysed in multiple aspects such as document type, country, co-author, citation, keywords, journal, WoS category, sustainable development goals. Determinations have been made for the use of GIS and RS in sustainable and environmental approaches to coal.

References

  • Adriano DC, Weber JT, Sutter LA. 1980. Trace elements in fly ash and their environmental significance. J Environ Qual, 9(3): 333-339.
  • Chuvieco E, Huete A. 2010. Fundamentals of satellite remote sensing. CRC Press, Florida, USA, pp:45.
  • Ebner H, Fritz L, Heipke C. 2010. Integrated sensor orientation. Photogramm Rec, 25(129): 132-144.
  • Epstein PR, Buonocore JJ, Eckerle K, Hendryx M, Stout BM, Heinberg R, Glustrom L. 2011. Full cost accounting for the life cycle of coal. Ann NY Acad Sci, 1219(1): 73-98.
  • Foody GM. 2002. Status of land cover classification accuracy assessment. Remote Sens Environ, 80(1): 185-201.
  • Ghose MK. 2004. Effect of opencast mining on soil fertility. J Sci Ind Res, 63: 1006-1009.
  • Gibbins J, Chalmers H. 2008. Carbon capture and storage. Energy Policy, 36(12): 4317-4322.
  • Goodchild MF. 1992. Geographical information science. Int J Geogr Inf Syst, 6(1): 31-45.
  • Harris RL. 1989. Nonrenewable resource geology and GIS. In: Tomlinson RF, Calkins HW (Eds.), Geogr Inf Syst Resour Manag, Springer, London, UK, pp: 105-116.
  • IPCC. 2014. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Paris, France, pp: 78.
  • International Energy Agency (IEA). 2021. World Energy Outlook 2021. Paris: IEA Paris, France, pp: 60.
  • International Energy Agency (IEA). 2023: World Energy Outlook 2023. Paris: IEA, Paris, France, pp:35.
  • Jensen JR. 2005. Introductory digital image processing: A remote sensing perspective. Prentice Hall, Upper Saddle River, USA, pp:25.
  • Jensen JR. 2007. Remote sensing of the environment: An Earth resource perspective. Prentice Hall, Upper Saddle River, Washington, USA, pp:35.
  • Kalinowski A, Oliver S. 2004. ASTER mineral index processing manual. Remote Sens Appl Group, Geosci, Canberra, Australia, pp:123.
  • Kuenzer C, Zhang J, Li J, Voigt S, Mehl H, Wagner W. 2007. Detecting unknown coal fires: synergy of automated coal fire risk area delineation and improved thermal anomaly extraction. Int J Remote Sens, 28(20): 4561-4585.
  • Li Z, Zhang L, Shen H. 2013. A review of remote sensing image fusion methods. Inf Fusion, 14(1): 3-15.
  • Lillesand TM, Kiefer RW, Chipman JW. 2015. Remote sensing and image interpretation. Wiley, New Jersey, USA, pp: 113.
  • Liu Y, Chen Y, Shi K. 2014. Monitoring coal mining impacts using remote sensing techniques: A case study in northern China. J Environ Manag, 133: 144-152.
  • Longley PA, Goodchild MF, Maguire DJ, Rhind DW. 2015. Geographic information systems and science. Wiley, New Jersey, USA, pp:251.
  • Miller J, Nussbaum R. 2016. Applications of LiDAR in coal mining. Min Eng, 68(3): 45-50.
  • Qin Z, Karnieli A, Berliner P. 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. Int J Remote Sens, 22(18): 3719-3746.
  • Qing X, Yutong Z, Shenggao L. 2015. Assessment of heavy metal pollution and human health risk in urban soils of steel industrial city (Anshan), Liaoning, Northeast China. Ecotoxicol Environ Saf, 120: 377-385.
  • Rubin ES, Yeh S, Hounshell DA, Taylor MR. 2007. Experience curves for power plant emission control technologies. Int J Energy Technol Policy, 5(1): 52-69.
  • Smith RA. 1987. Acid rain: The Southern Appalachian experience. Environ, 29(7): 14-20.
  • Stracher GB, Taylor TP. 2004. Coal fires burning out of control around the world: thermodynamic recipe for environmental catastrophe. Int J Coal Geol, 59(1-2): 7-17.
  • Van Eck NJ, Waltman L. 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84: 523-538.
  • Weng Q. 2012. Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sens Environ, 117: 34-49.
  • Xu C, Yan J, Zheng X. 2009. Overview of the direct coal liquefaction. Energy Convers Manag, 50(5): 1050-1073.
  • Younger P. 2001. Mine water pollution in Scotland: nature, extent and preventative strategies. Sci Total Environ, 265(1-3): 309-326.
  • Yuan J, Chen C, Yang W, Liu M, Xia J, Liu S. 2021. A survey of visual analytics techniques for machine learning. Comput Visual Media, 7: 3-36.
  • Zhang L, Wu H, Wei J, Liu X, Hu Z. 2018. Remote sensing monitoring of coal fires using multi-temporal thermal infrared data: A case study in Urumqi, China. Int J Appl Earth Obs Geoinf, 67: 196-204.
  • Zhang L, Wu Z, Li X. 2013. Coal seam identification using remote sensing technology. Int J Coal Geol, 105: 1-9.

Kömürün Uzaktan Algılama (UA) Yöntemleri ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi

Year 2025, Volume: 8 Issue: 3, 605 - 615, 15.05.2025
https://doi.org/10.34248/bsengineering.1603394

Abstract

Kömür madenciliği, sanayileşmiş toplumlar için kritik bir enerji kaynağı olarak kalmaya devam etmektedir. Bununla birlikte, kömür madenciliğinin çevresel ve ekolojik etkileri, sürdürülebilir ve çevre dostu madencilik uygulamalarının geliştirilmesi gerekliliğini ortaya koymuştur. Uzaktan algılama (Remote Sensing - RS) ve Coğrafi Bilgi Sistemleri (Geographic Information Systems - GIS), kömür yataklarının keşfi, izlenmesi ve çevresel etkilerinin değerlendirilmesi için güçlü araçlar olarak öne çıkmaktadır. Bu çalışma 2000-2023 yılları arasında kömürde CBS ve UA ilgili yapılan uluslararası akademik araştırmaların bibliyometrik analiz ile irdelenerek, gelecek beklentilerin saptanması amacıyla yapılmıştır. Çalışmada objektif ve kapsamlı sonuçların elde edilebilmesi adına WoS veri tabanından çekilen veriler kullanılmıştır. Yapılan araştırmalar doküman türü, ülke, ortak yazar, atıf, anahtar kelimeler, dergi, WoS kategorisi, sürdürülebilir kalkınma hedefleri gibi çok yönlü olarak incelenmiştir. Kömürün sürdürülebilir ve çevresel yaklaşımlarla CBS ve UA’nın kullanımına yönelik tespitler yapılmıştır.

Thanks

Bu çalışmanın hazırlanması ve analiz süreçlerindeki desteklerinden ötürü Dr. Selin Karadirek’e teşekkürlerimi sunarım.

References

  • Adriano DC, Weber JT, Sutter LA. 1980. Trace elements in fly ash and their environmental significance. J Environ Qual, 9(3): 333-339.
  • Chuvieco E, Huete A. 2010. Fundamentals of satellite remote sensing. CRC Press, Florida, USA, pp:45.
  • Ebner H, Fritz L, Heipke C. 2010. Integrated sensor orientation. Photogramm Rec, 25(129): 132-144.
  • Epstein PR, Buonocore JJ, Eckerle K, Hendryx M, Stout BM, Heinberg R, Glustrom L. 2011. Full cost accounting for the life cycle of coal. Ann NY Acad Sci, 1219(1): 73-98.
  • Foody GM. 2002. Status of land cover classification accuracy assessment. Remote Sens Environ, 80(1): 185-201.
  • Ghose MK. 2004. Effect of opencast mining on soil fertility. J Sci Ind Res, 63: 1006-1009.
  • Gibbins J, Chalmers H. 2008. Carbon capture and storage. Energy Policy, 36(12): 4317-4322.
  • Goodchild MF. 1992. Geographical information science. Int J Geogr Inf Syst, 6(1): 31-45.
  • Harris RL. 1989. Nonrenewable resource geology and GIS. In: Tomlinson RF, Calkins HW (Eds.), Geogr Inf Syst Resour Manag, Springer, London, UK, pp: 105-116.
  • IPCC. 2014. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Paris, France, pp: 78.
  • International Energy Agency (IEA). 2021. World Energy Outlook 2021. Paris: IEA Paris, France, pp: 60.
  • International Energy Agency (IEA). 2023: World Energy Outlook 2023. Paris: IEA, Paris, France, pp:35.
  • Jensen JR. 2005. Introductory digital image processing: A remote sensing perspective. Prentice Hall, Upper Saddle River, USA, pp:25.
  • Jensen JR. 2007. Remote sensing of the environment: An Earth resource perspective. Prentice Hall, Upper Saddle River, Washington, USA, pp:35.
  • Kalinowski A, Oliver S. 2004. ASTER mineral index processing manual. Remote Sens Appl Group, Geosci, Canberra, Australia, pp:123.
  • Kuenzer C, Zhang J, Li J, Voigt S, Mehl H, Wagner W. 2007. Detecting unknown coal fires: synergy of automated coal fire risk area delineation and improved thermal anomaly extraction. Int J Remote Sens, 28(20): 4561-4585.
  • Li Z, Zhang L, Shen H. 2013. A review of remote sensing image fusion methods. Inf Fusion, 14(1): 3-15.
  • Lillesand TM, Kiefer RW, Chipman JW. 2015. Remote sensing and image interpretation. Wiley, New Jersey, USA, pp: 113.
  • Liu Y, Chen Y, Shi K. 2014. Monitoring coal mining impacts using remote sensing techniques: A case study in northern China. J Environ Manag, 133: 144-152.
  • Longley PA, Goodchild MF, Maguire DJ, Rhind DW. 2015. Geographic information systems and science. Wiley, New Jersey, USA, pp:251.
  • Miller J, Nussbaum R. 2016. Applications of LiDAR in coal mining. Min Eng, 68(3): 45-50.
  • Qin Z, Karnieli A, Berliner P. 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. Int J Remote Sens, 22(18): 3719-3746.
  • Qing X, Yutong Z, Shenggao L. 2015. Assessment of heavy metal pollution and human health risk in urban soils of steel industrial city (Anshan), Liaoning, Northeast China. Ecotoxicol Environ Saf, 120: 377-385.
  • Rubin ES, Yeh S, Hounshell DA, Taylor MR. 2007. Experience curves for power plant emission control technologies. Int J Energy Technol Policy, 5(1): 52-69.
  • Smith RA. 1987. Acid rain: The Southern Appalachian experience. Environ, 29(7): 14-20.
  • Stracher GB, Taylor TP. 2004. Coal fires burning out of control around the world: thermodynamic recipe for environmental catastrophe. Int J Coal Geol, 59(1-2): 7-17.
  • Van Eck NJ, Waltman L. 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84: 523-538.
  • Weng Q. 2012. Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sens Environ, 117: 34-49.
  • Xu C, Yan J, Zheng X. 2009. Overview of the direct coal liquefaction. Energy Convers Manag, 50(5): 1050-1073.
  • Younger P. 2001. Mine water pollution in Scotland: nature, extent and preventative strategies. Sci Total Environ, 265(1-3): 309-326.
  • Yuan J, Chen C, Yang W, Liu M, Xia J, Liu S. 2021. A survey of visual analytics techniques for machine learning. Comput Visual Media, 7: 3-36.
  • Zhang L, Wu H, Wei J, Liu X, Hu Z. 2018. Remote sensing monitoring of coal fires using multi-temporal thermal infrared data: A case study in Urumqi, China. Int J Appl Earth Obs Geoinf, 67: 196-204.
  • Zhang L, Wu Z, Li X. 2013. Coal seam identification using remote sensing technology. Int J Coal Geol, 105: 1-9.
There are 33 citations in total.

Details

Primary Language Turkish
Subjects Coal, Geographic Information Systems, Remote Sensing , Organic Geochemistry
Journal Section Research Articles
Authors

Cevdet Bertan Güllüdağ 0000-0001-5777-1808

Publication Date May 15, 2025
Submission Date December 18, 2024
Acceptance Date January 24, 2025
Published in Issue Year 2025 Volume: 8 Issue: 3

Cite

APA Güllüdağ, C. B. (2025). Kömürün Uzaktan Algılama (UA) Yöntemleri ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi. Black Sea Journal of Engineering and Science, 8(3), 605-615. https://doi.org/10.34248/bsengineering.1603394
AMA Güllüdağ CB. Kömürün Uzaktan Algılama (UA) Yöntemleri ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi. BSJ Eng. Sci. May 2025;8(3):605-615. doi:10.34248/bsengineering.1603394
Chicago Güllüdağ, Cevdet Bertan. “Kömürün Uzaktan Algılama (UA) Yöntemleri Ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi”. Black Sea Journal of Engineering and Science 8, no. 3 (May 2025): 605-15. https://doi.org/10.34248/bsengineering.1603394.
EndNote Güllüdağ CB (May 1, 2025) Kömürün Uzaktan Algılama (UA) Yöntemleri ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi. Black Sea Journal of Engineering and Science 8 3 605–615.
IEEE C. B. Güllüdağ, “Kömürün Uzaktan Algılama (UA) Yöntemleri ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi”, BSJ Eng. Sci., vol. 8, no. 3, pp. 605–615, 2025, doi: 10.34248/bsengineering.1603394.
ISNAD Güllüdağ, Cevdet Bertan. “Kömürün Uzaktan Algılama (UA) Yöntemleri Ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi”. Black Sea Journal of Engineering and Science 8/3 (May 2025), 605-615. https://doi.org/10.34248/bsengineering.1603394.
JAMA Güllüdağ CB. Kömürün Uzaktan Algılama (UA) Yöntemleri ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi. BSJ Eng. Sci. 2025;8:605–615.
MLA Güllüdağ, Cevdet Bertan. “Kömürün Uzaktan Algılama (UA) Yöntemleri Ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi”. Black Sea Journal of Engineering and Science, vol. 8, no. 3, 2025, pp. 605-1, doi:10.34248/bsengineering.1603394.
Vancouver Güllüdağ CB. Kömürün Uzaktan Algılama (UA) Yöntemleri ve Coğrafi Bilgi Sistemleri (CBS) Araçlarında Kullanımının Bibliyometrik Analize Dayalı İncelenmesi. BSJ Eng. Sci. 2025;8(3):605-1.

                                                24890