Image classification using deep learning networks
Precession agriculture applications using small Unmanned Aircraft Systems (sUAS)
Coastal mapping using UAS-Lidar and hyperspectral imagery
Soil property prediction modeling and mapping use remote sensing and geospatial analysis
Integrating community-based data collection with Geomatics technologies in natural resources applications
Object-based image analysis of high-resolution imagery
Modeling vegetation biophysical and biogeochemical parameters using multispectral and hyperspectral imagery
Submerged aquatic vegetation and water quality studies through radiative transfer models
Image analysis using wavelet decomposition techniques
GIS and remote sensing applications of airborne laser scanners (LIDAR)
Pattern recognition and artificial intelligence applications in mapping
Ecosystem service quantification
Development of hyperspectral image sensing platform and unmanned air vehicle for image acquisition