Imaging canopy temperature: shedding (thermal) light on ecosystem processes

Still, Christopher J.; Rastogi, Bharat; Page, Gerald F. M.; Griffith, Dan M.; Sibley, Adam; Schulze, Mark; Hawkins, Linnia; Pau, Stephanie; Detto, Matteo; Helliker, Brent R.

doi:10.1111/nph.17321

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

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Imaging canopy temperature: shedding (thermal) light on ecosystem processes

2021
By Still, Christopher J. ; Rastogi, Bharat ; Page, Gerald F. M. ; ...
Source: New Phytologist, 230(5), 1746-1753

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New Phytologist
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Still, Christopher J. ; Rastogi, Bharat ; Page, Gerald F. M. ; Griffith, Dan M. ; Sibley, Adam ; ... More +

Still, Christopher J. ; Rastogi, Bharat ; Page, Gerald F. M. ; Griffith, Dan M. ; Sibley, Adam ; Schulze, Mark ; Hawkins, Linnia ; Pau, Stephanie ; Detto, Matteo ; Helliker, Brent R. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; GML (Global Monitoring Laboratory)

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; GML (Global Monitoring Laboratory) Less -
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SummaryCanopy temperature Tcan is a key driver of plant function that emerges as a result of interacting biotic and abiotic processes and properties. However, understanding controls on Tcan and forecasting canopy responses to weather extremes and climate change are difficult due to sparse measurements of Tcan at appropriate spatial and temporal scales. Burgeoning observations of Tcan from thermal cameras enable evaluation of energy budget theory and better understanding of how environmental controls, leaf traits and canopy structure influence temperature patterns. The canopy scale is relevant for connecting to remote sensing and testing biosphere model predictions. We anticipate that future breakthroughs in understanding of ecosystem responses to climate change will result from multiscale observations of Tcan across a range of ecosystems.
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New Phytologist, 230(5), 1746-1753
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https://doi.org/10.1111/nph.17321
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0028-646X;1469-8137;
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Wiley
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urn:sha-512:eb4fcf506f00124c81b03c1345c5e6d2ae69f7f20eae913ada98e189043438c5d5a917b9b9613d8f33d732e1d6a410cd955ad85775a9f5f7b9f9c5d313635eb4
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Imaging canopy temperature: shedding (thermal) light on ecosystem processes

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