What does this research mean for the field?

An integrated UAV-LiDAR and Probability Integral Method (PIM) workflow enables accurate, basin-wide characterization of mining-induced subsidence and improves spatial constraints for PIM parameter calibration compared to conventional profile-based monitoring. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate an integrated UAV-LiDAR and probability integral method workflow for basin-wide characterization of mining-induced subsidence and improved spatial parameter calibration.

September 3, 2026Applied SciencesOpen Access

Basin-Wide Monitoring and PIM Parameter Inversion of Mining Subsidence Using UAV-LiDAR

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Authors

HLHaiRui LiInner Mongolia Electric Power Survey & Design Institute (China)YZYaojun ZhangInner Mongolia Electric Power Survey & Design Institute (China)WZWenpeng ZhaoMinistry of Natural Resources

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Implication

Observational case study demonstrates high-accuracy basin-scale deformation tracking using UAV-LiDAR in a mining area, indicating improved parameter calibration for hazard prevention.

Key Points

To evaluate an integrated UAV-LiDAR and probability integral method workflow for basin-wide characterization of mining-induced subsidence and improved spatial parameter calibration.
Collected multi-temporal UAV-LiDAR elevation data across the 3206 working face in an Ordos mining area over 423 days.
Applied digital elevation model differencing to map vertical subsidence and extracted high-density uniform spatial samples to invert probability integral method parameters.
Digital elevation model epochs achieved vertical quality-control root-mean-square errors of 0.052 m and 0.050 m, with a mean of 0.051 m.
Surface movement progressed across initial, active, and declining stages, reaching a maximum subsidence rate of 87.39 mm d−1 during the active phase.
Inverted angular parameters established that the mining influence zone extends further along the dip direction than along the strike direction.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a99352e636c6408cfa7d2f7 https://doi.org/10.3390/app16178652

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Implication

Observational case study demonstrates high-accuracy basin-scale deformation tracking using UAV-LiDAR in a mining area, indicating improved parameter calibration for hazard prevention.

Basin-Wide Monitoring and PIM Parameter Inversion of Mining Subsidence Using UAV-LiDAR

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Implication

Key Points

Cite This Study

Basin-Wide Monitoring and PIM Parameter Inversion of Mining Subsidence Using UAV-LiDAR

Discussion

Member takes

Implication

Key Points

Cite This Study

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