Mine subsidence poses significant engineering and economic challenges, emerging as a paramount focus in geo-environmental monitoring. Accurate prediction and assessment of its impact on structures are crucial for designing effective mitigation strategies and ensuring the safety and sustainability of mining operations. Monitoring methods have evolved over time, progressing from traditional ground observation stations to more comprehensive approaches that combine these methods with space-based and aerial technologies. Data processing trends indicate a shift toward integrating multiple monitoring methods. In the realm of non-contact remote sensing, technologies such as Terrestrial Laser Scanning (TLS), Unmanned Aerial Vehicles (UAVs) equipped with various sensors, and Interferometric Synthetic Aperture Radar (InSAR) are increasingly employed for subsidence monitoring. Laser scanning, particularly Mobile Laser Scanning (MLS), has gained popularity due to its high accuracy and ability to overcome limitations in data scanning range. More recently, smartphone-based LiDAR has gained prominence owing to its user-friendly nature and cost-effectiveness. Here we demonstrate both conventional and advanced measurement techniques, with a specific focus on smartphone LiDAR. While the reliability of smartphone LiDAR in geotechnical applications within underground mines is yet to be fully established, its advantages in terms of accessibility, usability, and integrated data processing are highlighted. The discussion also addresses inaccuracies stemming from smartphone positioning errors. Despite these challenges, smartphone-based LiDAR has the potential to be a useful technology for on-site data processing and real-time analysis. Future research can leverage these advantages to offer insights, preventive measures, and suggestions for further investigation.