Recent advancements in understanding remotely sensed solar‐induced chlorophyll fluorescence often suggest a linear relationship with gross primary productivity at large spatial scales. However, the quantum yields of fluorescence and photochemistry are not linearly related, and this relationship is largely driven by irradiance. This raises questions about the mechanistic basis of observed linearity from complex canopies that experience heterogeneous irradiance regimes at subcanopy scales.

New paper just published in AGU Advances was highlighted on the NASA Global Climate Change page: Link here

By Robert Perkins.

Severe flooding throughout the Midwest—which triggered a delayed growing season for crops in the region—led to a reduction of 100 million metric tons of net carbon uptake during June and July of 2019, according to a new study.

● The photosynthetic pathway (C3, C4) impacts the relationship between CO2 uptake and SIF, which helps to interpret satellite signals.

● TROPOMI SIF agrees well with the seasonality of crop gross primary production (GPP) when accounting for C3/C4 fractionation.

● TROPOMI SIF is highly correlated with USDA reported crop productivity at the county scale.

Turner, A. J., Köhler, P., Magney, T. S., Frankenberg, C., Fung, I., & Cohen, R. C. (2019). A double peak in the seasonality of California’s photosynthesis as observed from space. Biogeosciences, (September), 1–27. https://doi.org/10.5194/bg-2019-387

Wen, J., Köhler, P., Duveiller, G., Parazoo, N. C., Magney, T. S., Hooker, G., … Sun, Y. (2020). A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF). Remote Sensing of Environment, 239(August 2019). https://doi.org/10.1016/j.rse.2020.111644

New data from the Making Earth System Data Records for Use in Research Environments (MEaSUREs) program: Level-2 Solar-induced fluorescence (SIF) derived from the Global Ozone Monitoring Experiment (GOME) satellite is now up on the Oak Ridge National Laboratory DAAC. https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1758