Leveraging historical aerial photographs and digital photogrammetry techniques for landslide investigation—a practical perspective

Deane, Evan; Macciotta, Renato; Hendry, Michael T.; Gräpel, Chris; Skirrow, Roger G.

doi:10.1007/s10346-020-01437-z

Cited by 24 publications

(10 citation statements)

References 14 publications

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“…The results of the Change Detection between the 1982 photographs and the laser scanning in 2019 are shown in Figure 3 [30]. Negative values correspond to material loss and positive values correspond to movement towards the scanner (out of slope).…”

Section: Resultsmentioning

confidence: 99%

“…Changes calculated within ± two standard deviations were considered potential measurement randomness. The limit of detection between the 1982 photogrammetric model and the 2019 LiDAR model was 1 m, attributed to a lower accuracy of the 1982 model derived from historic photos and surficial changes between 1982 and 2019 due to erosional processes [30].…”

Section: Instrumentation and Remote Sensing Techniquesmentioning

confidence: 99%

“…The landslide is within a broad valley that was dammed to develop the Chin Coulee water reservoir. The landslide was likely triggered by a combination of the works required to relocate Highway 36 from near the toe of the slope to the crest of the slope (which required fill placement in the upper part of the slope) and filling of the reservoir [29][30][31]. The location of the Chin Coulee landside and an aerial view are shown in Figure 2 (modified from [30]).…”

Section: Location and Geologymentioning

confidence: 99%

“…The interpreted piezometric elevation is also shown in Figure 2. The landslide stratigraphy and piezometric elevation have been interpreted based on borehole logs (BH-1 to BH-7 in Figure 2), inclinometer readings (in BH-2, 3, 4 and 5), and piezometric readings (BH-1, 6 and 7) [30].…”

Section: Location and Geologymentioning

confidence: 99%

“…The landslide extents were interpreted based on field and photographic mapping of the surface expression of the lateral failure surfaces and the head scarp. The landslide is Adapted from [30].…”

Section: Landslide Extents and Deformation Patternsmentioning

confidence: 99%

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Remote Sensing Applications for Landslide Monitoring and Investigation in Western Canada

Macciotta

Hendry

2021

Remote Sensing

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Transportation infrastructure in mountainous terrain and through river valleys is exposed to a variety of landslide phenomena. This is particularly the case for highway and railway corridors in Western Canada that connect towns and industries through prairie valleys and the Canadian cordillera. The fluidity of these corridors is important for the economy of the country and the safety of workers, and users of this infrastructure is paramount. Stabilization of all active slopes is financially challenging given the extensive area where landslides are a possibility, and monitoring and minimization of slope failure consequences becomes an attractive risk management strategy. In this regard, remote sensing techniques provide a means for enhancing the monitoring toolbox of the geotechnical engineer. This includes an improved identification of active landslides in large areas, robust complement to in-place instrumentation for enhanced landslide investigation, and an improved definition of landslide extents and deformation mechanisms. This paper builds upon the extensive literature on the application of remote sensing techniques and discusses practical insights gained from a suite of case studies from the authors’ experience in Western Canada. The review of the case studies presents a variety of landslide mechanisms and remote sensing technologies. The aim of the paper is to transfer some of the insights gained through these case studies to the reader.

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Section: Resultsmentioning

confidence: 99%

Section: Instrumentation and Remote Sensing Techniquesmentioning

confidence: 99%