基于无人机和地面激光扫描数据的三维洞穴地理定位制图数据集成

Pub Date : 2023-01-01 DOI:10.5200/baltica.2023.1.4
Resul Çömert, Samed Özdemir, B. B. Bilgilioğlu, S. Alemdağ, H. Zeybek
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摘要

akakale洞穴是土耳其东部黑海地区重要的自然和文化遗产。洞穴复杂的几何形状和难以进入的区域使得使用传统的测绘方法具有挑战性。为了克服这些限制,本研究利用TLS和无人机技术产生高精度的二维和三维数据,用于洞穴管理和风险评估。使用TLS系统创建洞穴内部的详细三维点云,而无人机系统生成洞穴外部表面地形的三维模型。在GIS环境下,利用研究区建立的大地测量网络将两组数据结合起来,为TLS和无人机数据提供了一个通用的大地测量参考系统。研究发现,洞穴面积为13750平方米,比以前使用传统测量方法估计的1.8万平方米要小。利用TLS点云数据生成的高程模型计算洞穴的体积和天花板高度。三维点云数据还用于绘制洞穴底部和顶部的滴水石位置,并精确确定地面岩石块的边界。该研究确定了与洞穴相关的潜在风险,特别是洞穴入口周围的烃源岩区域和洞穴南部的岩崩风险。距离洞穴最近的建筑物约35米,该地区所有建筑物距离洞穴不到300米。一旦洞穴坍塌,洞穴南部的建筑物将面临落石的危险。该研究证明了将TLS和无人机系统数据相结合,生成广泛而敏感的洞穴测绘和风险评估数据的有效性,这对洞穴管理和安全至关重要。收集到的数据可用于洞穴稳定性调查和岩崩风险评估。这项研究为未来对Akcakale洞穴的探索提供了基础,并强调了现代测量技术在提高我们对洞穴等复杂地质结构的理解方面的潜力。
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3D data integration for geo-located cave mapping based on unmanned aerial vehicle and terrestrial laser scanner data
The Akçakale cave is a significant natural and cultural heritage site in the Black Sea region of eastern Turkey. The complex geometry and difficult-to-access areas of the cave have made the use of traditional mapping methods challenging. To overcome these limitations, this study utilized TLS and UAV technology to produce highly accurate 2D and 3D data for cave management and risk assessment purposes. The TLS system was used to create a detailed 3D point cloud of the cave interior, while the UAV system generated a 3D model of the surface topography outside the cave. The two sets of data were combined in the GIS environment using a geodetic network established in the study area, providing a common geodetic reference system for both TLS and UAV data. The study found that the cave area is 13,750 m2, which is smaller than the area of 18,000 m2 that was previously estimated using conventional measurement methods. The volume and ceiling heights of the cave were calculated using the elevation models generated from TLS point cloud data. The 3D point cloud data were also used to map dripstone locations on the floor and ceiling of the cave, and the boundaries of rock blocks on the ground were precisely determined. The study identified potential risks associated with the cave, particularly the risk of rockfall in the source rock areas around the cave entrance and the southern part of the cave. The nearest building to the cave is approximately 35 meters away, and all the buildings in the area are less than 300 meters from the cave. In the event of the cave collapse, the buildings in the southern part of the cave are at risk of rockfall. This study demonstrates the effectiveness of combining data from TLS and UAV systems to generate broad and sensitive cave mapping and risk assessment data, which are critical for cave management and safety. The collected data can be used for cave stability investigations and rockfall risk assessments. This study provides a foundation for future explorations of the Akcakale cave and highlights the potential for modern surveying techniques to enhance our understanding of complex geological structures such as caves.
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