Unverified paper record
Sensing Plant Photosynthesis Using Solar-Induced Chlorophyll Fluorescence: From Chloroplasts to the Globe
Annual Review of Plant Biology · 20 May 2026 · 10.1146/annurev-arplant-090324-115537
Abstract
Photosynthesis is the fundamental biological process that introduced oxygen into Earth's atmosphere and continues to power life, from the earliest single-celled organisms to entire global ecosystems. Yet, measuring photosynthesis across scales has been challenging because traditional techniques have not transcended scales. The emergence of remote-sensing techniques to measure solar-induced chlorophyll fluorescence (SIF) provides a unique approach to estimate photosynthesis across spatiotemporal scales, representing a new age for optical remote sensing to study photosynthesis and shaping the decades of satellite SIF research. Here, focusing on spatiotemporal scales, we review the mechanisms that drive the relationship between SIF and photosynthesis. Remotely sensed SIF is modulated by biological drivers, environmental drivers, the interaction between biological and environmental drivers, and the viewing geometry. Studying fluorescence at small scales provides the ecophysiological understanding needed to disentangle the biological and environmental drivers of SIF at larger scales. Leveraging progress in satellite SIF, future research should focus on cross-scale mechanistic understanding of the drivers of SIF and using SIF as a metric for plant function beyond photosynthesis.
Plant phenotyping relevance
植物の光合成・機能を推定するリモートセンシング手法(SIF)を中心に、その機構とスケール間利用をレビューしており、植物フェノタイピング手法のレビューに該当する。
abstractThe emergence of remote-sensing techniques to measure solar-induced chlorophyll fluorescence (SIF) provides a unique approach to estimate photosynthesis across spatiotemporal scales
abstractHere, focusing on spatiotemporal scales, we review the mechanisms that drive the relationship between SIF and photosynthesis.
Code and data availability
The supplied blocks are from a KISS workshop report on SIF photosynthesis measurement. They describe concepts, models (SCOPE/SiB), and figures, but contain no public phenotype/trait datasets, plant images, author analysis code, or trained models with explicit availability statements and authors' URLs. The mentioned CMS
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