To begin meaningful analysis of the role and efficiency of photosynthesis under a multitude of conditions, accurate and timely data must first be acquired. By measuring the SIF product, we can directly evaluate the carbon flux of a geographic footprint. We will be using SIF data taken from the GOME-2 and OCO-2 satellites in orbit. However each have opposing weaknesses and strengths in resolution and frequency, leading to less-than-desired coverage and accuracy. The goal of this research will be to establish a procedure to fuse data from both satellites by down-scaling via a mathematical approach, utilizing machine learning and computer vision, or a combination of both.
University of Illinois at Urbana-Champaign
Dr. Kaiyu Guan
Department of Research Advisor:
Natural Resources & Environmental Sciences
Year of Publication: