Detection of Rockfall-Prone Areas Through InSAR-SBAS Analysis [Research Results]

Details

• Creators:
  D’Andrea, Alexandra ; Rizos, Dimitris C ; Byrraju, Sumanth
• Corporate Creators:
  United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
• Subject/TRT Terms:
  • Rocks
  • High risk locations
  • Roadside hazards
  • Landsat satellites
  • Detection and identification technologies
  • Infrastructure Interferometric Synthetic Aperture Radar (InSAR)
  • Rockfall
  • Small Baseline Subset (SBAS)
• Publication/ Report Number:
  RR 24-12
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Results
• Corporate Publisher:
  United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development, and Technology
• Abstract:
  Identifying and monitoring rockfall- and landslide-prone areas is crucial for effective risk mitigation, as these geohazard events present significant challenges and hazards to railway operations and safety. Current geohazard prediction models do not identify specific areas where an event could initiate under favorable conditions with triggering event. This study used satellite data and an SBAS threshold stacking method to improve geohazard prediction models for railway systems. The research demonstrates the successful application of the SBAS threshold stacking method in regions characterized by high and low coherence.
• Format:
  PDF
• Funding:
  693JJ621C000013
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77816/dot_77816_DS1.pdf
• File Type:
  [PDF - 651.11 KB]
• Collection(s):
  Federal Railroad Administration
• Main Document Checksum:
  urn:sha-512:bc4762c25fd01e870d2817abb3bf40d64bf940944132abcdf53bab010b29ff7cb720c1252923b12cb2d136788cda305461e9df2511779718d89fa5b900b3fc41