Combining In-Situ and Remote Sensing-Based Monitoring Methods to Improve the Efficiency and Accuracy of Landslide Monitoring Activities

Details

• Creators:
  Delparte, Donna M. ; Mahar, James ; Butterworth, Ashley ; Belt, Matt ; Drinkall, Dana ; Brown, Betty
• Corporate Creators:
  Idaho State University
• Corporate Contributors:
  Idaho Transportation Department. Highways Construction and Operations, Contracting Services, Research Program ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Best Practices Data Analysis Field Tests Landslides Laser Radar M3C2 Photogrammetry Sensors Slope Stability Transportation Planning Unmanned Aircraft Systems

  More +
• Publication/ Report Number:
  FHWA-ID-25-311
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  [Final or Interim] Report 05/08/2023 - 02/08/2025
• Corporate Publisher:
  Idaho Transportation Department
• Abstract:
  Repeat LiDAR or photogrammetry surveys for conducting temporal and spatial studies of mass movements are an emerging part of landslide hazard monitoring research, including the use of sensors aboard small Unmanned Aircraft Systems (UAS). The ability to measure change at a site over time can be an important asset in identifying slopes that pose a significant hazard to people and infrastructure, especially when paired with on-site inclinometer data. Data acquisition of LiDAR with UAS provides numerous benefits compared to other traditional airborne or terrestrial platforms. Our overall research approach was to collect and integrate geotechnical, landslide geometry, displacement, weather and surface site condition data with UAS remotely sensed data for evaluation of landslide hazards at four landslide areas. Accurate repeat LiDAR studies can be difficult to achieve due to inherent issues from using different platforms and sensors including the use of different vertical datum such as geoids or ellipsoid reference systems, poor co-registration of flightlines, differences in data quality, resolution, or georeferencing software, classification changes, and changes in post processing steps. This study provides recommendations for data acquisition and processing protocols to overcome registration limitations, reduce uncertainty in change detection models, and describe best practices for monitoring landslide movement and characterization.
• Format:
  PDF
• Funding:
  T002986
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:68b406b847fa4f7aef9782e8a3b36f4b2d08f18263ac24a43577f0d482311a657cd5521fa282053094d7e2c20113030592fe9464c2a43887a1c0e175500de5a0
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/90132/dot_90132_DS1.pdf
• File Type:
  [PDF - 20.33 MB ]