Our research focuses on ecosystem responses to changing climate, fire disturbances, and management practices, as well as the subsequent consequences for energy, water, and carbon cycles. We integrate remote sensing imagery and other geospatial data, via machine learning techniques, to study the processes and feedbacks associated with ecosystem dynamics. Our studies cover diverse ecosystems, ranging from croplands, rangelands, savannas, to forests, with a particular focus on landscape phenomena. The primary goal is to develop improved ecosystem monitoring capabilities at scale, and provide data-driven insights for adaptive resource management, climate mitigation and adaptation decision making.