Eyre, M.[Matt]
* 2019: Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope
* 2019: Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage through Deep Transfer Learning
* 2019: Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy, A
* 2020: Using Deep Learning and Hough Transformations to Infer Mineralised Veins From Lidar Data Over Historic Mining Areas
* 2021: Maximizing Impacts of Remote Sensing Surveys in Slope Stability: A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction
* 2022: Modelling the Influence of Geological Structures in Paleo Rock Avalanche Failures Using Field and Remote Sensing Data
* 2023: Multi-Scale Feasibility Study into Acid Mine Drainage (AMD) Monitoring Using Same-Day Observations, A
Includes: Eyre, M.[Matt] Eyre, M.[Matthew] Eyre, M.
7 for Eyre, M.
Eyre, R.[Riley]
* 2021: Within-Field Yield Prediction in Cereal Crops Using LiDAR-Derived Topographic Attributes with Geographically Weighted Regression Models
Eyre, T.
* 2012: Approach to Mapping Forest Growth Stages in Queensland, Australia through Integration of ALOS PALSAR and Landsat Sensor Data, An