2024
DOI: 10.1016/j.ijrmms.2024.105655
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Development of an easy-assembly and low-cost multismartphone photogrammetric monitoring system for rock slope hazards

Kun Fang,
Ao Dong,
Huiming Tang
et al.
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Cited by 26 publications
(7 citation statements)
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“…In the case of basic identification of the subsoil, the factor value is assumed as 1.4 ÷ 2.0 depending on the risk to the safety of this earth structure [24][25][26]. The influence of uncertainty in the value of geotechnical parameters on the estimated value of the slope stability factor has been described many times [27][28][29][30][31][32][33][34]. According to the authors of this manuscript, in the analyzed case (the absence of full recognition of geotechnical parameters and low risk to human life, which results from the type of object), the recommended value of the slope stability factor should be at least 1.50.…”
Section: Discussionmentioning
confidence: 99%
“…In the case of basic identification of the subsoil, the factor value is assumed as 1.4 ÷ 2.0 depending on the risk to the safety of this earth structure [24][25][26]. The influence of uncertainty in the value of geotechnical parameters on the estimated value of the slope stability factor has been described many times [27][28][29][30][31][32][33][34]. According to the authors of this manuscript, in the analyzed case (the absence of full recognition of geotechnical parameters and low risk to human life, which results from the type of object), the recommended value of the slope stability factor should be at least 1.50.…”
Section: Discussionmentioning
confidence: 99%
“…The clustering of northwestern Himalayan landslides is related to phases of deglaciation and intensified monsoon phases (IMPs) (Figure 13). The monitoring and awareness of slope instabilities in alpine regions will increasingly be necessary in the future to implement early warning systems and mitigation strategies [62]. Furthermore, laboratory experiments on hard and soft rock material will contribute to the understanding of landslide mechanics occurring in heterogeneous rock masses [63].…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, we comprehensively collected all available InSAR datasets covering the Turpan Basin and generated multi-temporal DInSAR datasets with a unified spatial reference through precise registration processes and the setting of reasonable spatial and temporal baseline thresholds [3,11,12]. Subsequently, we employed a wide-area InSAR multi-scale deformation monitoring strategy to conduct in-depth processing on these DInSAR datasets.…”
Section: Methodsmentioning
confidence: 99%