- Integrating advanced remote sensing technologies and multi-scale modeling to advance the understanding of the impact of land conversion on soil properties
- Improving the characterization of permafrost using polarimetric SAR interferometry (Pol-InSAR)
- A GIS-based system for assessing Emerald Ash Borer infestation
- The exploitation of deep learning in the automatic detection of cracks on paved roads
- The Integration of Multi-source Remotely-Sensed Data in Support of long-term water surface mapping and classification of Wetlands
- 3D Scene modeling using UAV-based imagery
- Automatic Surface Water Mapping Using Polarimetric SAR Data for Long-Term Change Detection
- A Generalized Linear Mixed Model Approach to Assess Emerald Ash Borer Diffusion
- CNN-Based Individual Tree Species Classification Using High-Resolution Satellite Imagery and Airborne LiDAR Data
- A decision-level fusion approach to tree species classification from multi-source remotely sensed data
- Determination of regions suitable for agriculture in the Gordon
- Estimating carbon and greenhouse gas emissions in remote regions of Canada
- Individual tree crown delineation from high spatial resolution imagery using U-net
- Estimation of soil bulk density and carbon using multi-source remotely sensed data
- Tree species classification based on neutrosophic logic and dempster-shafer theory
