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Tytuł artykułu

Lithological mapping using Landsat data 9 in the Daknong province, Vietnam

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
CESD 2024 : Conference on Earth Sciences : November 11th, 2024, Ho Chi Minh City, Vietnam
Języki publikacji
EN
Abstrakty
EN
The study utilizes Landsat 9 data (OLI-2 and TIRS-2 sensors) to create a geological map of Dak Nong province, Vietnam. By applying spectral analysis methods (PCA, band ratios), image classification techniques (SAM, CEM), and integrating field surveys, the research identified four main geological units: Quaternary sediments, Jurassic sedimentary rocks, basalt, and Cretaceous granite. The results demonstrate that Landsat 9 achieves high accuracy in geological mapping, particularly for basalt (with an error of only 0.68%). However, its ability to distinguish sub-units and areas with complex surface coverage remains limited, requiring support from field surveys to improve reliability
Rocznik
Strony
art. no. 44
Opis fizyczny
Bibliogr. 20 poz., tab., zdj.
Twórcy
  • Faculty of Geology and Minerals, Ho Chi Minh City University of Natural Resources and Environment
  • Faculty of Geology, University of Science, Ho Chi Minh City, Vietnam
  • Vietnam National University, Ho Chi Minh City, Vietnam
  • Faculty of Geology and Minerals, Ho Chi Minh City University of Natural Resources and Environment
  • Faculty of Geology and Minerals, Ho Chi Minh City University of Natural Resources and Environment
Bibliografia
  • 1. Ali, E.A., El Khidir, S.O., Babikir, I.A.A., and Abdelrahman, E.M., 2012, Landsat ETM+7 Digital image processing techniques for lithological and structural lineament enhancement: Case study around Abidiya area, Sudan, doi: 10.2174/1875413901205010083
  • 2. Abdelmalik. KW and Ali MA. Abd-Allah, 2018, Integration of remote sensing technique and field data in geologic mapping of an ophiolitic suture zone in western Arabian Shield. J African Earth Sci, 146, 180-190, doi: 10.1016/j.jafrearsci.2017.10.006
  • 3. Ali Shebl, Dávid Abriha, Maher Dawoud, Mosaad Ali Hussein Ali, Árpád Csámer, 2024. Landsat 9 in lithological mapping − a K-fold Cross-Validation implementation with Random Forest, The Egyptian Journal of Remote Sensing and Space Sciences, Volume 27, Issue 3, Pages 577-596, ISSN 1110-9823, https://doi.org/10.1016/j.ejrs.2024.07.003.
  • 4. Bishta A, 2009 Lithologic Discrimination Using Selective Image Processing Technique of Landsat 7 Data, Um Bogma Environs Westcentral Sinai, Egypt. J King Abdulaziz Univ Sci, 20 (1), 193– 213, doi: 10.4197/Ear.20-1.10
  • 5. Binam Mandeng EP, Bondjè Bidjeck LM, Takodjou Wambo JD, Taku A, Bineli Betsi T, Solange Ipan A, et al., 2018, Lithologic and structural mapping of the Abiete–Toko gold district in southern Cameroon, using Landsat 7 ETM+/SRTM. Comptes Rendus Geosci, 350 (3), 130–40, doi:10.1016/j.crte.2017.11.003
  • 6. Behnia P, Harris JR, Rainbird RH, Williamson MC, Sheshpari M, 2012, Remote predictive mapping of bedrock geology using image classification of Landsat and SPOT data, western Minto Inlier, Victoria Island, Northwest Territories, Canada. Int J Remote Sens, 33 (21), 6876–903, doi:01431161.2012.693219
  • 7. Ciampalini A, Garfagnoli F, Antonielli B, Del C, Moretti S, Ciampalini A, et al., 2012, Photolithological map of the southern flank of the Tindouf Basin (Western Sahara), 5647, doi: 10.1080/17445647.2012.746947
  • 8. El-Omairi, M. A., & El Garouani, A. (2023). A review on advancements in lithological mapping utilizing machine learning algorithms and remote sensing data. Heliyon, 9(9), e20168. https://doi.org/10.1016/j.heliyon.2023.e20168
  • 9. Ge W, Cheng Q, Tang Y, Jing L, Gao C, 2018, Lithological Classification Using Sentinel-2A Data in the Shibanjing Ophiolite Complex in Inner Mongolia, China. Remote Sens, 10 (4), 638, http: //dx.doi.org/10.3390/rs10040638
  • 10. La The Phuc, Hiroshi Tachihara, Katsuji Yoshida,Yuriko Chikano, Yukari Yamaguchi, Futa Hirayama, Tsutomu Honda, Luong Thi Tuat, Bui Van Thom, Tran Minh Duc, Nguyen Thanh Tung, Le Minh Quan, Hoang Thi Bien, Nguyen Trung Minh, 2018, Geological values of lava caves in Krongno Volcano Geopark, Dak Nong, Vietnam, Vietnam Journal of Earth Sciences 40(4):299-320.
  • 11. Moujane, S., Algouti, A., Algouti, A. et al, 2024, Mapping lineaments using Landsat 8 OLI and SRTM data; a case study of the eastern part of the Ouarzazate Basin, Morocco. J. Mt. Sci. 21, 987–1003. https://doi.org/10.1007/s11629-023-8242-z
  • 12. M. M. Abdeen; Y. A. H. A. EL-Kazzaz; G. M. Attia; M. A. Yehia and S. M. Hassan, 2006, Mapping geological structures in wadi Ghoweiba area, Northwest Gulf of Suez, Egypt, using ASTER-SPOT Data Fusion and ASTER DEM. Egypt. J. Remote Sensing & Space Sci., V.12, 101-126
  • 13. Nguyen Thanh Long, Do Minh Hien, Nguyen Quoc Dinh, 2015. Application of the method of analyzing spectrum characteristics and color combination on landsat etm images to establish a geological image map of Luong Son district, Hoa Binh province. Journal of Surveying and Mapping Science: (26), 33-44,
  • 14. Ngo Van Liem*, Dang Van Bao, Dang Kinh Bac, Nguyen Hieu, Do Trung Hieu, Tran Van Phong, Tran Thi Viet Ha, Pham Thi Phuong Nga, and Phan Trong Trinh, 2019. Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon MaThuot region, Central Highland, Vietnam, Open Geosci.; 11:901–917, https://doi.org/10.1515/geo-2019-0070.
  • 15. Patel, R. C., Patel, S., & Patel, J. (2020). Application of Landsat 8 OLI for Mapping the Deccan Traps of Kachchh, Gujarat. Journal of the Indian Society of Remote Sensing, 48(1), 125-135
  • 16. Ousmanou et al, 2023. Fuzzy-logic technique for gold mineralization prospecting using Landsat 9 OLI processing and fieldwork data in the Bibemi goldfield, north Cameroon HeliyonDecember 6, https://doi.org/10.1016/j.heliyon.2023.e23334
  • 17. R. Rajan Girija, S. Mayappan, 2019, Mapping of mineral resources and lithological units: a review of remote sensing techniques, Int. J. Image Data Fusion 10 (2) 79–106, https://doi.org/10.1080/19479832.2019.1589585
  • 18. Safianou, O. Fozing, E.M. Tcheumenack, K.J. ..., 2023, Mapping and discrimination of the mineralization potential in granitoids from Banyo area (Adamawa, Cameroon), using Landsat 9 OLI, ASTER images and field observations, Geosystems and Geoenvironment 3 100239 100239, https://doi.org/10.1016/j.geogeo.2023.100239
  • 19. Safianou, O. ∙ Yaya, F. ∙ Jacques, W.W. ... Fuzzy-logic technique for gold mineralization prospecting using Landsat 9 OLI processing and fieldwork data in the Bibemi goldfield, north Cameroon Heliyon. 2024; 10, doi: 10.1016/j.heliyon.2023.e23334
  • 20. Yi Lu, Changbao Yang, Rizheng He, 2022, Towards lithology mapping in semi-arid areas using timeseries Landsat-8 data, Ore Geology Reviews, Volume 150, 105163, https://doi.org/10.1016/j.oregeorev.2022.105163.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2026).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e378bf05-84e4-4ee5-be5d-5997dabd0b79
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