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This year’s AGM will be held online using the Zoom platform. AGM documentation will be made available for download by all members. The technical presentation will follow after the AGM business.


Remotely sensed data is becoming an increasingly important component of our site characterisation toolbox and our understanding of slope process models. In this talk, I will review the application of terrestrial based remote sensing data sources to assessing rock slope behaviour. Important considerations, challenges and opportunities related to deploying these data collection techniques will be discussed. Several case histories demonstrating the value of integrating this type of data into instrumentation and monitoring programs will be presented, mostly drawn from repeat data collection campaigns at several active rock slopes.

Dr. D. Jean Hutchinson, P.Eng., FCAE, FEIC

Dr. Jean Hutchinson is a Professor of Geological Engineering at Queen’s University in Kingston, Canada, and a Fellow of both the Canadian Academy of Engineering and the Engineering Institute of Canada, and a registered Professional Engineer. Jean was very honoured to deliver the 2019 Glossop Medal lecture.

Dr. Hutchinson conducts research and engages in consulting work related to stability assessment of slopes and excavations in rock, considering the suite of available monitoring methods. Integrating geological knowledge with monitoring program data, Jean focusses on understanding the mechanisms at work in ground instability, and the management of the resulting potential hazard and risk.

Jean has been fortunate to collaborate with several members of the Department of Civil and Environmental Engineering at the University of Alberta, as well as CN Rail and Canadian Pacific, for more than 15 years on the Canadian Railway Ground Hazard Research Program.

Dr. Hutchinson is a co-Director of the Queen’s Geomechanics and Geohazards Group, where her research team has made significant advancements in the applications of remote sensing to slope stability assessment, the integration of data into existing numerical modelling packages, and the development of new methods to simulate instability.