Real-Time Intelligent Monitoring of Rockfall in the Complex Environment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9061-0_34
Reference17 articles.
1. Abdelmaboud A, Abaker M, Osman M, Alghobiri M, Abdelmotlab A, Dafaalla H (2021) Hybrid early warning system for rock-fall risks reduction. Appl Sci 11(20):9506. https://doi.org/10.3390/app11209506
2. Chae BG, Park HJ, Catani F et al (2017) Landslide prediction, monitoring, and early warning: a concise review of the state-of-the-art. Geosci J 21:1033–1070. https://doi.org/10.1007/s12303-017-0034-4
3. Di Matteo L, Romeo S, Kieffer DS (2017) Rock fall analysis in an Alpine area by using a reliable integrated monitoring system: results from the Ingelsberg slope (Salzburg Land, Austria). Bull Eng Geol Environ 76:413–420. https://doi.org/10.1007/s10064-016-0980-5
4. Kim D-H, Gratchev I (2021) Application of optical flow technique and photogrammetry for rockfall dynamics: a case study on a field test. Remote Sens 13(20):4124. https://doi.org/10.3390/rs13204124
5. Le Q, Wang H, Xue X, Gao Y, Jin X, Zhang J, Pan S (2011) Deformation monitoring and failure mechanism of Wangxia dangerous rock mass in Wushan County. J Eng Geol 19(6):823–830
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