LiDAR point clouds processing for large-scale cave mapping: a case study of the Majko dome in the Domica cave

Šupinský, Jozef; Kaňuk, Ján; Nováková, Michaela; Hochmuth, Zdenko

doi:10.1080/17445647.2022.2035270

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…It can be widely used in mountainous and hilly areas [28,29]. In recent years, scholars around the world have utilized LiDAR measurement technology to conduct applied research in multiple fields, including in the drawing of cave maps [30,31], which has both guiding significance and reference value for our research. In addition to these applications of the technology, some scholars have used the high-resolution digital elevation model obtained by LiDAR to describe and study the karst landform [32][33][34], which has also inspired us in our survey.…”

Section: Selection Of the Lidar Technical Methodsmentioning

confidence: 99%

A Scientific Investigation of the Shangfang Mountain Yunshui Cave in Beijing Based on LiDAR Technology

Liu,

Shan,

et al. 2024

Land

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The Yunshui Cave in Shangfang Mountain, Beijing, is a famous high-altitude karst cave in northern China. As the third scientific survey of Yunshui Cave in history, this is the first time to use the latest LiDAR technology to carry out a related detection survey. Traditional cave measurement methods are limited by natural conditions and make it difficult to reach the destination. Traditional methods mainly rely on experience and obtain data with strong subjectivity, making it difficult to conduct quantitative research and obtain reproducible results in the current information era. Applying LiDAR technology to cave measurement can obtain comprehensive and accurate digital measurement results within the same survey time and reveal many richer and more accurate features of Yunshui Cave. The obtained digital measurement results can be used for 3D modeling as well as provide a large amount of accurate basic data and preliminary materials for subsequent geological, environmental, and archaeological investigation and analysis, as well as cultural and tourism resource development. The rapid geological survey of Shangfang Mountain Yunshui Cave using LiDAR technology shows that LiDAR cave geological survey technology can achieve real-time collection of centimeter-level accuracy and generate billions of points of cloud data, greatly improving survey efficiency and accuracy. At the same time, digital survey results can be obtained. Through modeling and GIS technology, all on-site survey details can be easily moved back to the laboratory for real-scene reproduction, network sharing, and dissemination. This study provides a foundation for future explorations of the Yunshui cave and highlights the potential for LiDAR techniques to enhance our understanding of complex geological structures such as caves.

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Section: Selection Of the Lidar Technical Methodsmentioning

confidence: 99%

A Scientific Investigation of the Shangfang Mountain Yunshui Cave in Beijing Based on LiDAR Technology

Liu,

Shan,

et al. 2024

Land

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“…Recently, the proliferation of satellite and aerial imagery [21][22][23], Light Detection and Ranging (LiDAR) technology [24,25], and the increasing accessibility of geospatial data through crowdsourcing and volunteer geographic information [26][27][28][29] have driven the growth of cartography. These developments have expanded the possibilities of geographic information systems (GIS) [30][31][32], which now integrate big data [33,34], machine learning [35,36], and real-time data processing to create more sophisticated and accurate maps [37,38].…”

Section: Introductionmentioning

confidence: 99%

An Overview of Modern Cartographic Trends Aligned with the ICA’s Perspective

Habib,

Okayli

2023

ridg

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This study provides a comprehensive overview of modern cartography innovations and emerging trends, highlighting the importance of geospatial representation in various fields. It discusses recent advancements in geospatial data collection techniques, including satellite and aerial imagery, Light Detection and Ranging (LiDAR) technology, and crowdsourcing. The research also investigates the integration of big data, machine learning, and real-time processing in Geographic Information Systems (GIS), as well as advances in geospatial visualization. In addition, it examines the role of cartography in addressing global challenges such as climate change, disaster management, and urban planning in line with the International Cartographic Association’s (ICA) perspectives. The study discusses the ethical considerations and challenges associated with modern cartography, including privacy, data security, and accessibility issues. Finally, it outlines future directions and opportunities in cartography, focusing on the potential applications of artificial intelligence, interdisciplinary collaborations, and open-source platforms. This discussion aims to emphasize the significance of continued research and development in cartography and encourage interdisciplinary collaboration for a better understanding of the world.

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