Remote Sensing and GIS Specialist
If we see our world at the top of the sky, it looks different from what we have seen on the ground. A new sight always gives me a new insight. By seeing our planet at the top of the sky through remote sensing and GIS, I design and develop solutions for various environmental problems our planet faces these days.
Research Interest
Why Remote Sensing?
Remote Sensing is the science of obtaining information about Earth's objects or surfaces from a distance, without physical contact, using aircraft or satellites. Remote Sensing enables us to understand how the Earth has been changed and will change in the future.
Why GIS?
Geographic information systems (GIS) are computer-based tools to store, visualize, analyze, and interpret geographic data. Leveraging the GIS-based spatiotemporal mapping and analysis, we can understand patterns, relationships, and context of various environmental and social issues.
Why Machine Learning?
Recently, a tremendous amount of remote sensing and GIS data are available. Machine learning and deep learning techniques can learn meaningful statistical relationships from such big data. They can be used for various analysis, such as regression, classification, clustering, etc.
Why Cloud Computing?
Processing large amount of data in a local machine requires a lot of time and computational resources. By processing data on cloud computing server, we can save a lot of time and computational expenses. For example, we can process a bunch of satellite images via Google Earth Engine (GEE) without downloading individual images.