Research

Remote sensing for natural ecosystems, agriculture, and hydrology

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We are interested in landscape and regional scale environmental change phenomena. Our goal is to provide data-driven knowledge and tools for sustainable agriculture and natural resources management.

New knowledge discovery on the complex ecosystem dynamics relies on artificial intelligence and machine learning, to take advantage of big data across scales, including multi-sensor remote sensing observations, from satellite, airborne, UAV/drone platforms, and proximal sensors.