The JC STEM Lab of Earth Observations
The JC STEM Lab of Earth Observations is an effort of the PolyU, the Hong Kong Jockey Club Charities Trust, and the Hong Kong SAR government to support the “Global STEM Professorship Scheme”. The laboratory will focus on the development of original and innovative EO methodologies and technologies and their applications for studies of the causes, effects, and responses to environmental and societal challenges in cities and urban areas, with the goal of becoming a global research hub in EO.
The POLEIS provides a platform for PolyU researchers across departments and faculties to interact/collaborate, and an opportunity for dialogues with stakeholders in governments, industries, and communities for knowledge transfer. A multidisciplinary team of this type can better address the interdisciplinary nature of urbanization and environmental problems, and the integration among these disciplines will hopefully lead to increased cross-fertilization of research ideas and technology developments.
The process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted raidation at a distance.
The science and technology of obtaining reliable information about physical objects and the environment through photographic images.
A technology which uses laser beams to measure and capture environments in three dimentions with speed and accuracy.
The science and technology which uses information science to address the problems of geosciences and related branches.
Navigation and Positioning
The ability to determine current and desired position and apply corrections to attain a desired position anywhere around the world.
Surveying and Geodesy
The representations of large portions of the Earth's surface and smaller portions where the effect of the Earth's curvature can be ignored.
The utilization of a variety of geophysical survey techniques to "see" beneath the surface of the soil, providing a map of the underlying features.
The combination of innovations in spatial science, high-performance computing, and AI methods to extract knowledge from spatial big data.
Geospatial Big Data
Spatial data sets exceeds the capacity of traditional computing systems. They have always been big data and their size is growing rapidly.
An interdisciplinary field of AI that trains computers to interpret geospatial photographies and videos.
Key Issues To Be Solved
Our lab is seeking multiple PhD students (4 years), Post-Doctoral Fellow (for 2-3 years), and Research Assistant Professor (3/6 years) in the areas of remote sensing, image science, geospatial AI, computer vision and big data, with applications in urbanization, sustainability, coastal ecosystems, urban climate and environment, land use and land cover change, and global change.