APPLICATION OF AN INTEGRATED APPROACH TO GEOSPATIAL DATA ACQUISITION BASED ON A COMBINATION OF AERIAL PHOTOGRAPHY, LIDAR TECHNOLOGIES AND GROUND-BASED LASER SCANNING
Keywords:
laser scanning, multispectral data, UAV, digital terrain model, orthophotoplane, geoinformation analysis, aerial photography, lidar technologiesAbstract
The article presents an integrated approach to processing field geological survey data using GIS technologies. Integrated images from unmanned aerial vehicles (including multispectral), lidar scanning data. Highly detailed orthophotographs, digital relief models, and 3D models of the area under study were obtained, reflecting the complex structure of the outcrops. It is shown that the combined processing of photogrammetric, multispectral, and lidar data improves the accuracy of detecting geological structures compared with the disparate use of methods. The scientific novelty of the work is the application of an integrated approach to obtaining geospatial data based on a combination of aerial photography, lidar technologies and ground–based laser scanning and the development of a single method for integrating heterogeneous data for geological mapping. The results can be used in the search for deposits of rare metals, engineering and geological surveys and monitoring of hazardous processes.
References
- Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic information science and systems (4th ed.). Wiley. https://doi.org/10.1002/9781118676950
- Chen, S., Li, M., Guo, H., & Liu, X. (2021). Fundamentals and advances of geographic information systems: A review. ISPRS International Journal of Geo-Information, 10(3), 132. https://doi.org/10.3390/ijgi10030132
- Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., & Reynolds, J. M. (2012). Structure-from-Motion photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, 300–314. https://doi.org/10.1016/j.geomorph.2012.08.021
- Bupathy, P., Sivanpillai, R., Sajithvariyar, V. V., & Sowmya, V. (2021). Optimizing low-cost UAV aerial image mosaicing for crop growth monitoring. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIV-M-3-2021, 7–13. ASPRS 2021 Annual Conference, 29 March–2 April 2021. https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-7-2021
- Carrivick, J. L., Smith, M. W., & Quincey, D. J. (2016). Structure from Motion in the geosciences. Wiley-Blackwell. https://doi.org/10.1002/9781118895818
- LaRue, E. A., Wagner, F. W., Fei, S., Atkins, J. W., Fahey, R. T., Gough, C. M., & Hardiman, B. S. (2020). Compatibility of aerial and terrestrial LiDAR for quantifying forest structural diversity. Remote Sensing, 12(9), 1407. https://doi.org/10.3390/rs12091407
- Alpysbay, M. A., Orynbassarova, E. O., Sydyk, N. K., Adebiyet, B., & Kamza, A. T. (2024). Mining mapping and exploration using remote sensing data in Kazakhstan: A review. Engineering Journal of Satbayev University, 146(2). https://doi.org/10.51301/ejsu.2024.i2.05
- Alibekova, N., Abisheva, A., Dosmukhambetova, B., Saktaganova, N., Abdikerova, U., & Budikova, A. (2023). Use of GIS technologies for zoning urban areas taking into account engineering-geological conditions. International Journal of GEOMATE, 25(110), 167–175. https://doi.org/10.21660/2023.110.3970
- Рафиков, Т. К., Ерболқызы, М., & Жилдикбаева, А. Н. (2024). Применение данных дистанционного зондирования Земли и анализа NDVI в Восточно-Казахстанской области. Ізденістер, нәтижелер – Исследования, результаты, 1(101), 183–189. https://doi.org/10.37884/1-2024/18 // Rafikov, T. K., Yerbolkyzy, M., & Zhildikbayeva, A. N. (2024). Primenenie dannykh distantsionnogo zondirovaniya Zemli i analiza NDVI v Vostochno-Kazakhstanskoy oblasti [Application of Earth remote sensing data and NDVI analysis in the East Kazakhstan region]. Izdenister, natizheler – Issledovaniya, rezul'taty, 1(101), 183–189. https://doi.org/10.37884/1-2024/18 (In Russ.).
- Ulykpanova, M. M., Auezova, Z., Ramazanova, N., Mussabaeva, M., & Zhanguzhina, A. (2024). Application of remote-sensing data in geochemical studies of soils of the Yertis River basin within East Kazakhstan. Quaestiones Geographicae, 43(1), 157–164. https://doi.org/10.14746/quageo-2024-0009
- Chaminé, H. I., Pereira, A. J. S. C., Teodoro, A. C., et al. (2021). Remote sensing and GIS applications in earth and environmental systems sciences. SN Applied Sciences, 3, 870. https://doi.org/10.1007/s42452-021-04855-3
- Farella, E. M., Remondino, F., Cahalane, C., Qin, R., Loghin, A. M., Di Tullio, M., Haala, N., & Mills, J. (2023). Geometric processing of very high-resolution satellite imagery: Quality assessment for 3D mapping needs. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W3-2023, 47–54. https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023
- Чибуничев, А. Г. (2022). Фотограмметрия: учебник для вузов. Москва: Издательство МИИГАиК. // Chibunichev, A. G. (2022). Photogrammetry: A textbook for universities. Moscow: Publishing House of MIIGAiK. (In Russ.).
- Remondino, F., Morelli, L., Stathopoulou, E., Elhashash, M., & Qin, R. (2022). Aerial triangulation with learning-based tie points. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022. Proceedings of the XXIV ISPRS Congress, 6–11 June 2022, Nice, France.
- Altuntas, C. (2023). Review of scanning and pixel array-based LiDAR point-cloud measurement techniques to capture 3D shape or motion. Applied Sciences, 13(11), 6488. https://doi.org/10.3390/app13116488
- Haala, N., Kölle, M., Cramer, M., Laupheimer, D., Mandlburger, G., & Glira, P. (2021). Hybrid georeferencing, enhancement and classification of ultrahigh resolution UAV LiDAR and image point clouds for monitoring applications. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2020. Proceedings of the XXIV ISPRS Congress, 2020 edition.
- ChatGPT. (2026). Уточнение и редактирование научного текста статьи [Большая языковая модель]. OpenAI. https://chat.openai.com // ChatGPT. (2026). Utochnenie i redaktirovanie nauchnogo teksta stat'i [Clarification and editing of scientific text of the article] [Large language model]. OpenAI. https://chat.openai.com (In Russ./AI-generated).