Remote Sensing & Agro-informatics Lab

I am a scientist studying plants and soil conditions using remote sensing applications. My research focuses on addressing complex, multivariate, and multi-scaled problems in an interdisciplinary manner. My research aims to comprehensively understand the spatiotemporal aspects of agriculture and environmental changes. This involves combining diverse tools and methodologies to address critical climate change and land use questions.  It involves the development and utilization of quantitative approaches, including computer modeling, state-of-the-art remote sensing technologies, earth observation systems, spectroscopy (NIR spectroscopy, Raman, and XRF), spatiotemporal modeling, big data analytics, machine learning modeling, and advanced imaging processing methods. I work with various remote sensing platforms, including ground sensors, UAVs, airborne systems, and satellites. These technologies enable me to assess plant nutritional aspects and evaluate soil physical, chemical, and biological properties. I employ innovative statistical approaches, such as artificial intelligence, machine learning, and Geographic Information Systems (GIS), to analyze the data effectively.