We are excited to announce the publication of a new paper from our lab in Remote Sensing of Environment, led by Haoran Liu.
The team developed TECs-SIF, a new computer model that can simulate both plant photosynthesis and the faint light signal plants give off, called solar-induced fluorescence (SIF).
Using this tool, we showed that the connection between SIF and gross primary productivity (GPP, a measure of how much carbon plants absorb) is not the same everywhere. It changes depending on the type of forest and the timescale (hourly vs. daily vs. seasonal).
By building TECs-SIF, we can now better understand the SIF–GPP relationship and improve the way satellites monitor the global carbon cycle.
Read the full paper here: https://doi.org/10.1016/j.rse.2025.115052