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This is a Quantitative Study study.

September 18, 2025Open GeosciencesOpen Access

Potential landslide detection and influencing factors analysis in the upper Yellow River based on SBAS-InSAR technology

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Authors

JZJin ZengQinghai University WTWanbing TuoQinghai University XWXinchao WangExtreme Networks (United States)

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Implication

Analysis reveals significant landslide activity in the upper Yellow River, suggesting effective monitoring methodologies using SBAS-InSAR and remote sensing.

Key Points

171 potential landslides were detected using SBAS-InSAR technology, indicating high landslide activity in the area.
The annual average ground deformation rate ranged from −139 to 73 mm/a, reflecting significant terrain movement across the tracks.
Factors like steep slopes and low vegetation were identified as major influences on landslide susceptibility in the region.
The integration of SBAS-InSAR with optical remote sensing provides a robust methodology for landslide identification in complex terrains.

Cite This Study

Zeng et al. (2025) studied this question.

synapsesocial.com/papers/68d461c231b076d99fa60fdc https://doi.org/10.1515/geo-2025-0862

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Implication

Analysis reveals significant landslide activity in the upper Yellow River, suggesting effective monitoring methodologies using SBAS-InSAR and remote sensing.

Potential landslide detection and influencing factors analysis in the upper Yellow River based on SBAS-InSAR technology

Discussion

Member takes

Implication

Key Points

Cite This Study

Potential landslide detection and influencing factors analysis in the upper Yellow River based on SBAS-InSAR technology

Discussion

Member takes

Implication

Key Points

Cite This Study

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