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Research on emergency monitoring methods for landslide disasters based on improved atmospheric correction GB-SAR and multi-source data geocoding

Hao Zhang et al.

International Journal of Environment and Pollution2026https://doi.org/10.1504/ijep.2026.151760article
ABDC C
Weight
0.50

What the paper says

Ground-based synthetic aperture radar (GB-SAR) has become a key technical equipment in the field of geological disaster prevention.Existing monitoring methods have limitations: contact sensors offer limited coverage, while optical remote sensing struggles in adverse weather.This study presents an integrated remote sensing system combining improved GB-SAR, terrestrial laser scanning (TLS), and unmanned aerial vehicles (UAVs) for emergency monitoring.Innovations include an atmospheric correction model accounting for range, elevation, and azimuth angles, and a point cloud filtering method enhancing Permanent Scatterer selection.These reduce GB-SAR monitoring errors by 30%.A multi-source fusion framework integrates TLS's highresolution 3D modelling and UAVs' rapid imaging for dynamic deformation analysis.The system enables fast risk area identification within 72 h to support emergency decisions.Experiments validate the improved GB-SAR's accuracy and the fusion strategy's effectiveness in landslide scenarios, offering a robust solution for real-time hazard assessment and mitigation.

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https://doi.org/https://doi.org/10.1504/ijep.2026.151760

Or copy a formatted citation

@article{hao2026,
  title        = {{Research on emergency monitoring methods for landslide disasters based on improved atmospheric correction GB-SAR and multi-source data geocoding}},
  author       = {Hao Zhang et al.},
  journal      = {International Journal of Environment and Pollution},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijep.2026.151760},
}

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Research on emergency monitoring methods for landslide disasters based on improved atmospheric correction GB-SAR and multi-source data geocoding

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.