Title : Photonics application in hyperspectral remote sensing: Assessing sun-Induced fluorescence and reflectance across ecosystems
Abstract:
Sun-induced fluorescence (SIF) is a relatively novel remote sensing signal crucial for monitoring terrestrial vegetation activity, structural and functional diversity. SIF, directly linked to plant photosynthetic activity and health, is significant due to its core origin in photosynthesis—a key process regulating gas exchange between the atmosphere and biosphere. Advances in spectroscopic data retrieval and new remote sensing platforms (ground, UAV, airborne, satellites) have heightened the importance of SIF, offering unique opportunities to capture and estimate SIF signals and reflectances for monitoring vegetation status, phenology, and ecosystem functions.
HyPlant, an airborne imaging spectrometer, was utilized in this research to estimate, monitor, and model SIF signals over heterogeneous peatland, forest, and grassland ecosystems. Developed by Forschungszentrum Jülich in cooperation with SPECIM Spectral Imaging Ltd., HyPlant played a pivotal role in the July 2015 airborne campaign over the Rzecin peatland in Poland.
The research provided experimental evidence that SIF signals can capture spatial heterogeneity of ecosystems, representing different photosynthetic activities and plant traits. Developed fuzzy modeling techniques that accurately approximated SIF signals and represented vegetation diversity. The study also indicated that meteorological and environmental conditions impact plant functional activities, affecting GPP and PsnNet predictions using remote sensing.
In essence, the research demonstrates the potential of SIF science, leveraging modern remote sensing technology to enhance our understanding of terrestrial vegetation and ecosystem functions.
