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DOI: https://doi.org/10.7523/j.ucas.2025.016

Three-Dimensional Characterization and Identification of Geological Outcrops Using UAV Technology: A Case Study of the Middle Jurassic Longmen Formation Section around Yanqi Lake region, Beijing

  • LIU Haoyu ,
  • MA Yuanbo ,
  • WANG Haoren ,
  • WU Jinxu ,
  • TAN Fengqi ,
  • ZHANG Yuxiu
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  • College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2025-01-20

  Revised date: 2025-03-31

  Online published: 2025-04-16

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Abstract

In traditional geological fieldwork, data collection primarily relies on manual on-site measurements, which are labor-intensive and inconvenient for data analysis. Moreover, such methods are not feasible for steep and inaccessible areas, presenting numerous limitations. To address these challenges, this study employs two advanced techniques: UAV (Unmanned Arial Vehicle) oblique photogrammetry and airborne LiDAR scanning, to reconstruct three-dimensional geological models and conduct data measurements via computer analysis. The study focuses on the Longmen Group fluvial facies strata in the Yanqi Lake area of Beijing. Within the model, the stratigraphic profile is divided into nine lithofacies, with each layer subjected to measurements of thickness and orientation. Additionally, geological phenomena such as faults and structural deformations are identified. The model undergoes spatial coordinate verification and accuracy validation, revealing measurement errors of less than 0.01 meters in length and less than 2 degrees in orientation. Through comprehensive profile measurements and the characterization and identification afforded by the 3D model, it is concluded that the profile exhibits multiple braided river depositional sequences in the vertical dimension. These sequences consist of lower channel lag deposits, middle channel bar deposits, and upper floodplain aggradation deposits. Consequently, compared to traditional geological data collection methods, the use of UAV-based 3D geological models not only meets quality and precision standards but also enhances operational efficiency and reduces the risks associated with fieldwork.

Key words： UAV; oblique photogrammetry; airborne LiDAR; geological outcrop

Cite this article

LIU Haoyu , MA Yuanbo , WANG Haoren , WU Jinxu , TAN Fengqi , ZHANG Yuxiu . Three-Dimensional Characterization and Identification of Geological Outcrops Using UAV Technology: A Case Study of the Middle Jurassic Longmen Formation Section around Yanqi Lake region, Beijing[J]. Journal of University of Chinese Academy of Sciences, 0 : 4 . DOI: 10.7523/j.ucas.2025.016

References

[1] Usman M, Siddiqui N A, Zhang S Q, et al.3D geo-cellular static virtual outcrop model and its implications for reservoir petro-physical characteristics and heterogeneities[J]. Petroleum Science, 2021, 18(5): 1357-1369. DOI: 10.1016/j. petsci.2021.09.021.
[2] Healy D, Rizzo R E, Cornwell D G, et al.FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns[J]. Journal of Structural Geology, 2017, 95: 1-16. DOI: 10.1016/j.jsg.2016.12.003.
[3] Thiele S T, Lorenz S, Kirsch M, et al.Multi-scale, multi-sensor data integration for automated 3-D geological mapping[J]. Ore Geology Reviews, 2021, 136: 104252. DOI: 10.1016/j.oregeorev.2021.104252.
[4] Panara Y, Chandra V, Finkbeiner T, et al.Fracture intensity and associated variability: A new methodology for 3D digital outcrop model analysis of carbonate reservoirs[J]. Marine and Petroleum Geology, 2023, 158: 106532.DOI: 10.1016/j.marpetgeo.2023.106532.
[5] Pereira J V F, Medeiros W E, Dantas R R S, et al. An integrated 3D digital model of stratigraphy, petrophysics and karstified fracture network for the Cristal Cave, NE-Brazil[J]. Journal of Structural Geology, 2024, 178: 105013. DOI: 10.1016/j.jsg.2023.105013.
[6] Betlem P, Birchall T, Lord G, et al.High-resolution digital outcrop model of the faults, fractures, and stratigraphy of the Agardhfjellet Formation cap rock shales at Konusdalen West, central Spitsbergen[J]. Earth System Science Data, 2024, 16(2): 985-1006. DOI: 10.5194/essd-16-985-2024.
[7] Colica E, D’Amico S, Iannucci R, et al. Using unmanned aerial vehicle photogrammetry for digital geological surveys: Case study of Selmun promontory, northern of Malta[J]. Environmental Earth Sciences, 2021, 80(17): 551. DOI: 10.1007/s12665-021-09846-6.
[8] Corradetti A, Tavani S, Parente M, et al.Distribution and arrest of vertical through-going joints in a seismic-scale carbonate platform exposure (Sorrento peninsula, Italy): Insights from integrating field survey and digital outcrop model[J]. Journal of Structural Geology, 2018, 108: 121-136. DOI: 10.1016/j.jsg.2017.09.009.
[9] Martinelli M, Bistacchi A, Mittempergher S, et al.Damage zone characterization combining scan-line and scan-area analysis on a km-scale Digital Outcrop Model: The Qala Fault (Gozo)[J]. Journal of Structural Geology, 2020, 140: 104144. DOI: 10.1016/j.jsg.2020. 104144.
[10] 乔占峰, 沈安江, 郑剑锋, 等. 基于数字露头模型的碳酸盐岩储集层三维地质建模[J]. 石油勘探与开发, 2015, 42(03): 328-337. DOI: 10.11698/PED.2015.03. 09.
[11] 程雨柯, 李亚虎, 夏金梧, 等. 无人机技术在超高陡边坡危岩体半自动识别中的应用[J]. 中国地质灾害与防治学报, 2024, 35(01): 143-154. DOI: 10.16031/j.cnki.issn.1003-8035.202310028.
[12] Menegoni N, Cipriani A, Scarani R, et al.The Cala Viola-Torre del Porticciolo coastal area: A key tectono-stratigraphic site to unravel the polyphase tectonics in NW Sardinia[J]. Italian Journal of Geosciences, 2024, 143(1): 75-104. DOI: 10.3301/IJG. 2024.05.
[13] Chesley J T, Leier A L, White S, et al.Using unmanned aerial vehicles and structure-from-motion photogrammetry to characterize sedimentary outcrops: An example from the Morrison Formation, Utah, USA[J]. Sedimentary Geology, 2017, 354: 1-8. DOI: 10.1016/j.sedgeo.2017.03.013.
[14] Tavani S, Corradetti A, Rizzo R E, et al.Best practices towards the digitization of 3D traces from virtual outcrop models[J]. Journal of Structural Geology, 2024, 186: 105222. DOI: 10.1016/j.jsg.2024. 105222.
[15] Hartwig M E, Santos G G S. Enhanced discontinuity mapping of rock slopes exhibiting distinct structural frameworks using digital photogrammetry and UAV imagery[J]. Environmental Earth Sciences, 2024, 83(22): 624. DOI: 10.1007/s12665-024-11939-x.
[16] Manna L, Perozzo M, Menegoni N, et al.Anatomy of a km-scale fault zone controlling the Oligo-Miocene bending of the Ligurian Alps (NW Italy): integration of field and 3D high-resolution digital outcrop model data[J]. Swiss Journal of Geosciences, 2023, 116(1): 15. DOI: 10.1186/s00015-023-00444-1.
[17] Triantafyllou A, Watlet A, Le Mouélic S, et al.3-D digital outcrop model for analysis of brittle deformation and lithological mapping (Lorette cave, Belgium)[J]. Journal of Structural Geology, 2019, 120: 55-66. DOI: 10.1016/j.jsg.2019.01.001.
[18] Nesbit P R, Durkin P R, Hugenholtz C H, et al.3-D stratigraphic mapping using a digital outcrop model derived from UAV images and structure-from-motion photogrammetry[J]. Geosphere, 2018, 14(6): 2469-2486. DOI: 10.1130/GES01688.1.
[19] Conforti M, Mercuri M, Borrelli L.Morphological changes detection of a large earthflow using archived images, LiDAR-derived DTM, and UAV-based remote sensing[J]. Remote Sensing, 2021, 13(1): 120. DOI: 10.3390/rs13010120.
[20] Menegoni N, Giordan D, Perotti C.Reliability and uncertainties of the analysis of an unstable rock slope performed on RPAS digital outcrop models: The case of the gallivaggio landslide (Western Alps, Italy)[J]. Remote Sensing, 2020, 12(10): 1635. DOI: 10.3390/rs12101635.
[21] Dąbski M, Zmarz A, Pabjanek P, et al.UAV-based detection and spatial analyses of periglacial landforms on Demay Point (King George Island, South Shetland Islands, Antarctica)[J]. Geomorphology, 2017, 290: 29-38. DOI: 10.1016/j.geomorph.2017.03.033.
[22] Speed C M, Sylvester Z, Durkin P R, et al.Three-dimensional anatomy of a Cretaceous river avulsion[J]. Geology, 2024, 52(12): 885-890. DOI: 10.1130/G52254.1
[23] 李亚林, 王成善, 文华国, 等. 数字露头与野外实践教学平台建设趋势与展望[J]. 中国地质教育, 2021, 30(01): 31-35. DOI: 10.3969/j.issn.1006-9372.2021. 01.008.
[24] 王冉. 基于三维数字露头模型的野外地质教学方法探讨[J]. 中国地质教育, 2019, 28(04): 63-66. DOI: 10.3969/j.issn.1006-9372.2019.04.016.
[25] 孙信尧, 王平, 张宏, 等. 无人机在沉积学中的应用现状及展望[J]. 地质科技通报, 2023, 42(01): 407-419. DOI: 10.19509/j.cnki.dzkq.2022.0145.
[26] 陈建华, 钟瀚霆, 侯明才, 等. 数字露头实景三维Web平台研究与云端地质考察应用[J]. 地球学报, 2024, 45(02): 232-242. DOI: 10.3975/cagsb.2023. 112501.
[27] Nieminski N M, Graham S A.Modeling stratigraphic architecture using small unmanned aerial vehicles and photogrammetry: Examples from the Miocene East Coast Basin, New Zealand[J]. Journal of Sedimentary Research, 2017, 87(2): 126-132. DOI: 10.2110/jsr.2017.5.
[28] Senger K, Betlem P, Birchall T, et al.Digitising Svalbard’s geology: The Festningen digital outcrop model[J]. First Break, 2022, 40(3): 47-55. DOI: 10.3997/1365-2397.fb2022021.
[29] 刘帅, 陈建华, 王峰, 等. 基于无人机倾斜摄影的数字露头实景三维模型构建[J]. 地质科学, 2022, 57(03): 945-957. DOI: 10.12017/dzkx.2022.054.
[30] An P J, Fang K, Jiang Q Q, et al.Measurement of rock joint surfaces by using smartphone structure from motion (SfM) photogrammetry[J]. Sensors, 2021, 21(3): 922. DOI: 10.3390/s21030922.
[31] Bistacchi A, Balsamo F, Storti F, et al.Photogrammetric digital outcrop reconstruction, visualization with textured surfaces, and three-dimensional structural analysis and modeling: Innovative methodologies applied to fault-related dolomitization (Vajont Limestone, Southern Alps, Italy)[J]. Geosphere, 2015, 11(6): 2031-2048. DOI: 10.1130 /ges01005.1.
[32] Saputra A, Rahardianto T, Gomez C.The application of structure from motion (SfM) to identify the geological structure and outcrop studies[C]//International Symposium on Earth Hazard and Disaster Mitigation (Isedm) 2016: the 6th Annual Symposium on Earthquake and Related Geohazard Research for Disaster Risk Reduction, Bandung, Indonesia. Author(s), 2017: 030001. DOI: 10.1063/1.4987060.
[33] Westoby M J, Brasington J, Glasser N F, et al.‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications[J]. Geomorphology, 2012, 179: 300-314. DOI: 10.1016/j.geomorph.2012.08.021.
[34] 魏占玉, Arrowsmith Ramon, 何宏林, 等. 基于SfM方法的高密度点云数据生成及精度分析[J]. 地震地质, 2015, 37(2): 636-648. DOI: 10.3969/j.issn.0253-4967.2015.02.024.
[35] Wang R, Lin J Y, Li L, et al.A revised orientation-based correction method for SfM-MVS point clouds of outcrops using ground control planes with marks[J]. Journal of Structural Geology, 2021, 143: 104266. DOI: 10.1016/j.jsg.2020.104266.
[36] 黄五超. 机载激光雷达点云数据分类方法的研究[D]. 西安: 长安大学, 2021. DOI: 10.26976/d. cnki.gchau. 2021.001752.
[37] Schönberger J L, Frahm J M.Structure-from-motion revisited[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 27-30, 2016, Las Vegas, NV, USA. IEEE, 2016: 4104-4113. DOI: 10.1109/CVPR.2016.445.
[38] Telling J, Lyda A, Hartzell P, et al.Review of Earth science research using terrestrial laser scanning[J]. Earth-Science Reviews, 2017, 169: 35-68. DOI: 10.1016/j.earscirev.2017.04.007.
[39] Cao T, Xiao A C, Wu L, et al.Automatic fracture detection based on Terrestrial Laser Scanning data: A new method and case study[J]. Computers & Geosciences, 2017, 106: 209-216. DOI: 10.1016/j.cageo.2017.04.003.
[40] Cawood A J, Bond C E, Howell J A, et al.LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models[J]. Journal of Structural Geology, 2017, 98: 67-82. DOI: 10.1016/j.jsg.2017.04.004 .
[41] 张慧, 王娟, 彭涛, 等. 北京云蒙山大水峪韧性剪切带糜棱岩的变形温度[J]. 岩石学报, 2018, 34(06): 1801-1812. DOI: 1000-0569/2018/034(06)-1801-12.
[42] 赵腾格, 侯泉林, 石梦岩, 等. 北京云蒙山变质核杂岩大水峪韧性剪切带的应变特征及构造意义[J]. 岩石学报, 2021, 37(08): 2483-2501. DOI: 10.18654/1000-0569/2021.08.14.
[43] Lopac N, Jurdana I, Brnelić A, et al.Application of laser systems for detection and ranging in the modern road transportation and maritime sector[J]. Sensors, 2022, 22(16): 5946. DOI: 10.3390/s22165946.
[44] 北京市地质矿产局. 中华人民共和国地质矿产部地质专报—区域地质第27号北京市区域地质志[M]. 北京: 地质出版社, 1991.
[45] 张英芳. 北京西山中侏罗世植物古生态和古地理研究[D]. 北京: 中国地质大学(北京), 2006.
[46] 刘少峰, 林成发, 刘晓波, 等. 冀北张家口地区同构造沉积过程及其与褶皱-逆冲作用耦合[J].中国科学: 地球科学, 2018, 48(06): 705-731. DOI: 10.1360/N072017-00212.
[47] 张宏仁, 张永康, 蔡向民, 等. 燕山运动的“绪动”: 燕山事件[J]. 地质学报, 2013, 87(12): 1779-1790. DOI: 10.19762/j.cnki.dizhixuebao.2013.12.001.
[48] Lin C F, Liu S F, Zhuang Q T, et al.Sedimentation of Jurassic fan-delta wedges in the Xiahuayuan basin reflecting thrust-fault movements of the western Yanshan fold-and-thrust belt, China[J]. Sedimentary Geology, 2018, 368: 24-43. DOI: 10.1016/j.sedgeo.2018.03.005.
[49] 刘仁钊, 马啸. 无人机倾斜摄影测绘技术[M]. 武汉: 武汉大学出版社, 2021.
[50] Menegoni N, Giordan D, Perotti C, et al.Detection and geometric characterization of rock mass discontinuities using a 3D high-resolution digital outcrop model generated from RPAS imagery-Ormea rock slope, Italy[J]. Engineering Geology, 2019, 252: 145-163. DOI: 10.1016/j.enggeo.2019.02.028.
[51] Perozzo M, Menegoni N, Foletti M, et al.Evaluation of an innovative, open-source and quantitative approach for the kinematic analysis of rock slopes based on UAV based Digital Outcrop Model: A case study from a railway tunnel portal (Finale Ligure, Italy)[J]. Engineering Geology, 2024, 340: 107670. DOI: 10.1016/j.enggeo.2024.107670.
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