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

D’Andrea, Alexandra; Rizos, Dimitris C; Byrraju, Sumanth; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology

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

2024-09-01
By D’Andrea, Alexandra ; Rizos, Dimitris C ; Byrraju, Sumanth

[PDF-651.11 KB]

English

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Creators:

D’Andrea, Alexandra ; Rizos, Dimitris C ; Byrraju, Sumanth

D’Andrea, Alexandra ; Rizos, Dimitris C ; Byrraju, Sumanth Less -
Corporate Creators:

United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
Subject/TRT Terms:

[+]

Detection And Identification Technologies High Risk Locations Infrastructure Interferometric Synthetic Aperture Radar (InSAR) Landsat Satellites Roadside Hazards Rockfall Rocks 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
Collection(s):

Federal Railroad Administration
Main Document Checksum:

[+]

urn:sha-512:bc4762c25fd01e870d2817abb3bf40d64bf940944132abcdf53bab010b29ff7cb720c1252923b12cb2d136788cda305461e9df2511779718d89fa5b900b3fc41
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https://rosap.ntl.bts.gov/view/dot/77816/dot_77816_DS1.pdf
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Detection of Rockfall-Prone Areas Through InSAR-SBAS Analysis [Research Results]

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