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University of Waterloo Mobile Sensing and Geodata Analytics (WatMos) Lab consists of a multidisciplinary team of individuals, including faculty, students, postdoc fellows, and visiting scholars trained in geomatics, geography and geoscience, computer science and engineering, mathematics and statistics, environmental science and engineering. Our group is led by Dr. Jonathan Li, Professor of Geomatics with the Department of Geography and Environmental Management in the Faculty of Environment at the University of Waterloo. Our multidisciplinary backgrounds are reflected in the diverse research projects that each member is engaged in. Learn more about each member in the section of our people.
Mobile sensing may be defined as the science and technology of acquiring, processing, analyzing, interpreting, and applying geospatial data from a mobile vehicle, on which typically mounted with a range of passive and remote sensors. Our research relies on theories and methods of photogrammetry, computer vision, machine learning, spatial data science, and geographic information science. In general, our research focuses on the following three broad themes:
Our research in this area focuses on the development of innovative algorithms and software tools for intelligent processing geospatial data acquired by optical cameras, synthetic aperture radar, laser scanners and other imaging and ranging sensors onboard mobile vehicles, including satellites, aircrafts, unmanned aerial systems, boats, trains, vans and cars as well as by backpack and handheld sensors, to derive geospatial and semantic information.
Our research is focused on the development of methodologies and sustainable solutions using multi-sensor and multi-temporal remotely satellite data in applications of intelligent transportation networks, smart cities, green energy, environmental heath, precision farming, emergency and disaster management sectors.
Our research in this area focuses on adopting spatial analysis techniques to understand how land-use and land-cover (LULC) patterns changing at the local and regional scales to better support the evaluation of environmental impacts of urban growth for informed environmental management and policy.
Our projects have been funded by: