Dr. Amr Abd-Elrahman
Dr. Abd-Elrahman's research program utilizes remote sensing and geospatial analysis in natural resource management and precision agriculture applications.
The research program includes:
- the development of a ground-based mobile mapping system that integrates;
- hyperspectral imaging sensor capable of recording hundreds of bands in the visible and infrared parts of the spectrum;
- consumer-grade camera;
- Global Navigation Satellite System (GNSS); and
- Inertial Navigation System (INS).
The system can be mounted on a ground-based platform (e.g. a tractor). Dr. Abd-Elrahman’s research analyzes hyperspectral images captured by ground, airborne, and satellite systems to develop soil and water quality parameter models and to classify submerged aquatic vegetation.
The research focuses on improving the methods used for parameter estimation through spectral and statistical modeling. New techniques to classifying wetland vegetation with ultra-high resolution images captured by Unmanned Aircraft Systems (UAS) are being developed in addition to analyzing full waveform data for lidar point classification.