My teaching and research focus on global remote sensing of land surface vegetation, with a strong emphasis on developing precise measurements, data, algorithms, and models for calibrated time series analysis. This work seeks to assess the impacts of climate change and land use on vegetation, phenology, ecohydrology, water, carbon, nutrient cycles, and ecosystem composition and function across diverse biomes. By bridging natural resources management with advanced remote sensing techniques, my research addresses complex challenges in both engineering and society, spanning areas such as agricultural productivity, ecosystem management, watershed analysis at scales from local to global, and the precise observation of some of these phenomena.Additionally, my research group has developed a program dedicated to engineering and applied use of drone technology, providing rapid, cost-effective platforms for land surface characterization, precision mapping, precision agriculture, and low-cost validation of global remote sensing data. A field that is evolving very quickly providing for opportunities but also challenges.I am also committed to fostering an engaging academic environment for students at all levels. I promote a program that actively involves undergraduate and graduate students in internships, MS and Ph.D. research opportunities, and immersive, collaborative research projects, encouraging them to develop their research interests through hands-on experience and teamwork.