Remote Sensing and GIS Specialist
When we see our world from above, everything looks different from what we see on the ground. A new sight always gives me a new insight. Through the lens of remote sensing and GIS, I explore our planet from above to design and develop innovative solutions for the environmental challenges we face today.
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 offers a powerful lens through which we can observe, analyze, and understand how our planet has changed over time and how it may change in the future.
Why GIS?
Geographic information systems (GIS) are computer-based tools to store, visualize, analyze, and interpret spatial data. By leveraging the GIS-based spatiotemporal mapping and analysis, we can undercover patterns, relationships, and contextual insights that deepen our understanding of complex environmental and societal issues.
Why Machine Learning?
A tremendous amount of remote sensing and GIS data has become available. Machine learning and deep learning techniques enable us to discover complex statistical relationships and patterns within this big data. They facilitate advanced statistical analyses, such as regression, classification, clustering, etc.
Why Cloud Computing?
Processing large amounts of data on a local machine requires a lot of time and computational resources. Cloud computing provides an efficient alternative, reducing both processing time and computational costs. For instance, Google Earth Engine (GEE) enables the analysis of extensive satellite imagery collections without the need to download individual files.