Naser El-Sheimy



Canada Research Chair in Geomatics Multi-sensor Systems

Tier 1 - 2017-11-01
University of Calgary
Natural Sciences and Engineering Research Council

403-220-7587
elsheimy@ucalgary.ca

Research involves


Developing geomatics multi-sensor systems (GMSs) that capture time-critical events and provide up-to-date information.

Research relevance


This research will lead to new GMS systems for mobile information collection, integration and access in real time, leading to better decision-making applications.

Harnessing the Power of Geomatics Multi-sensor Systems


Over the past two decades, demand for geomatics data has exploded—along with the need for data that are more accurate, have higher densities, can be produced more quickly, and are cheaper to source. Conventional approaches to acquiring geospatial data are not adequate anymore: they are too slow, too labour-intensive, or do not provide the information needed by the application in question.

Geomatics multi-sensor systems (GMSs) offer a promising alternative. These sensors provide useful information about a system’s environment, such as its direction of motion, temperature or pressure. GMS refers to the integration of multiple sensors to provide more reliable, accurate information. These systems integrate multiple technologies, including those involved in positioning (such as global navigation satellite systems), navigation (such as inertial navigation sensors), remote sensing (such as imaging and laser scanners), and wireless systems (such as wireless sensors networks).

Dr. Naser El-Sheimy is advancing the theories and uses of GMS systems by developing breakthrough, cost-effective technologies; providing professionals in mapping organizations, natural resources companies, engineering firms, and navigation industries with improved tools for acquiring geospatial information; and training highly qualified personnel in the Canadian knowledge-based economy.

The benefits of GMS are numerous: it can operate independently of ground control; it reduces the time and cost needed to collect data; and it is portable, so it can be used around the globe on vehicles, helicopters, airplanes or distributed sensors.

El-Sheimy’s research will lead to innovative applications in monitoring forest fires, discovering underground oil reservoirs, and helping ships, aircraft and vehicles to navigate safely.