Application of Remote Sensing to the Investigation of Rock Slopes: Experience Gained and Lessons Learned
AbstractThe stability and deformation behavior of high rock slopes depends on many factors, including geological structures, lithology, geomorphic processes, stress distribution, and groundwater regime. A comprehensive mapping program is, therefore, required to investigate and assess the stability of high rock slopes. However, slope steepness, rockfalls and ongoing instability, difficult terrain, and other safety concerns may prevent the collection of data by means of traditional field techniques. Therefore, remote sensing methods are often critical to perform an effective investigation. In this paper, we describe the application of field and remote sensing approaches for the characterization of rock slopes at various scale and distances. Based on over 15 years of the experience gained by the Engineering Geology and Resource Geotechnics Research Group at Simon Fraser University (Vancouver, Canada), we provide a summary of the potential applications, advantages, and limitations of varied remote sensing techniques for comprehensive characterization of rock slopes. We illustrate how remote sensing methods have been critical in performing rock slope investigations. However, we observe that traditional field methods still remain indispensable to collect important intact rock and discontinuity condition data. View Full-Text
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Stead, D.; Donati, D.; Wolter, A.; Sturzenegger, M. Application of Remote Sensing to the Investigation of Rock Slopes: Experience Gained and Lessons Learned. ISPRS Int. J. Geo-Inf. 2019, 8, 296.
Stead D, Donati D, Wolter A, Sturzenegger M. Application of Remote Sensing to the Investigation of Rock Slopes: Experience Gained and Lessons Learned. ISPRS International Journal of Geo-Information. 2019; 8(7):296.Chicago/Turabian Style
Stead, Doug; Donati, Davide; Wolter, Andrea; Sturzenegger, Matthieu. 2019. "Application of Remote Sensing to the Investigation of Rock Slopes: Experience Gained and Lessons Learned." ISPRS Int. J. Geo-Inf. 8, no. 7: 296.
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