A combined field/remote sensing approach for characterizing landslide risk in coastal areas. - Mirko Francioni; John Coggan; Matthew Eyre; Doug Stead (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope. - Carlo Robiati; Matthew Eyre; Claudio Vanneschi; Mirko Francioni; Adam Venn; John Coggan (ISPRS Int. J. Geo Inf., 2019)

A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy. - Mirko Francioni; Fernando Calamita; John Coggan; Andrea De Nardis; Matthew Eyre; Enrico Miccadei; Tommaso Piacentini; Doug Stead; Nicola Sciarra (Remote. Sens., 2019)

Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage through Deep Transfer Learning. - Jane Gallwey; Matthew Eyre; Matthew Tonkins; John Coggan (Remote. Sens., 2019)

Maximizing Impacts of Remote Sensing Surveys in Slope Stability - A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction. - Lingfeng He; John Coggan; Mirko Francioni; Matthew Eyre (ISPRS Int. J. Geo Inf., 2021)

Modelling the Influence of Geological Structures in Paleo Rock Avalanche Failures Using Field and Remote Sensing Data. - Lingfeng He; Mirko Francioni; John Coggan; Fernando Calamita; Matthew Eyre (Remote. Sens., 2022)

A Multi-Scale Feasibility Study into Acid Mine Drainage (AMD) Monitoring Using Same-Day Observations. - Richard Chalkley; Rich Andrew Crane; Matthew Eyre; Kathy Hicks; Kim-Marie Jackson; Karen A. Hudson-Edwards (Remote. Sens., 2023)