Remote Sensing & Agro-informatics Lab

​As a remote sensing researcher, I am continually inspired by the ability to observe the world from a bird's eye view, enabling a deep understanding of mechanisms and processes across scales. In my lab, we leverage advanced remote sensing and data sciences to study how agriculture and natural systems respond to environmental changes. We address complex, multivariate, and multi-scale challenges through interdisciplinary approaches, aiming to understand the spatiotemporal aspects of agricultural and environmental changes comprehensively. Our work combines diverse tools and methodologies to tackle pressing climate change and land use questions, utilizing quantitative approaches like computer modeling, cutting-edge remote sensing technologies, earth observation systems, and various spectroscopy methods (including NIR, Raman, and XRF). We also develop spatiotemporal models and employ big data analytics, machine learning, and advanced image processing methods. Utilizing various remote sensing platforms—from ground sensors and UAVs to airborne systems and satellites—we assess plant stress and nutritional aspects and evaluate soil health through its physical, chemical, and biological properties. If you are interested in learning more about our research or would like to join us, please feel free to contact me.