- B32C-03: Proximal remote sensing for scaling forest ecophysiology from leaf to globe (invited)
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Zoe Pierrat, NASA Jet Propulsion Laboratory (First Author, Presenting Author)
Troy Magney, University of California Davis
Logan Brissette, University of California Davis
Barry Logan, Bowdoin College
Jaret Reblin, Bowdoin College
Sara Nelson, Bowdoin College
Jochen Stutz, University of California Los Angeles
Christian Frankenberg, NASA Jet Propulsion Laboratory
David Bowling, University of Utah
Christopher Wong, University of New Brunswick
Light reflected from plant canopies carries detailed information about how ecosystems function. In this study, we focus on pigments—like chlorophylls and xanthophylls—that help regulate photosynthesis and protect leaves from stress. These pigments change over days to weeks, but many remote sensing tools (like satellites or airplanes) only capture snapshots too infrequently to track those dynamics. We used hyperspectral sensors mounted on a tower in a temperate evergreen forest to measure pigment variability within and across seasons. Our results show that canopy pigment pools can be predicted well from reflected light, even at fine spatial and temporal scales. These findings help connect field-based measurements with larger-scale airborne and satellite data, improving our ability to monitor forest function, phenology, and stress over time.
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