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About me

Research themes

GCER lab offers an interdisciplinary space for agricultural and biosystems engineers, computer scientists, software developers, and geographers to engage in Earth science, deep learning, and new remote sensing technologies. Our research themes are centered on land and water resources monitoring using AI-driven techniques and satellite data.

Deep learning for terrestrial monitoring

Deep learning techniques support innovations in Land Resources Essential Information Systems (LREIS) using high spatial resolution satellite imagery, and the next generation of land cover and land change products will provide essential information for assessing and managing land and natural resources in higher spatial resolution and near-real time. 

Related publications:

Remote sensing of Water resources


Satellite imaging systems have been widely used to support water quality and quantity management as it allows water quality analysis using empirical and semi-analytical relationship between optically active constituents (e.g., sediments, chlorophyll-a, dissolved organic matter) and spectral water reflectance. This is particularly relevant for climate-sensitive regions that lack water quality stations and have many extreme climate events that can disturb the aquatic environment. 

Related publications:

Gallery: work & people

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