Articles | Volume 18, issue 22
https://doi.org/10.5194/bg-18-6077-2021
https://doi.org/10.5194/bg-18-6077-2021
Research article
 | 
25 Nov 2021
Research article |  | 25 Nov 2021

Unveiling spatial and temporal heterogeneity of a tropical forest canopy using high-resolution NIRv, FCVI, and NIRvrad from UAS observations

Trina Merrick, Stephanie Pau, Matteo Detto, Eben N. Broadbent, Stephanie A. Bohlman, Christopher J. Still, and Angelica M. Almeyda Zambrano

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Latest update: 20 Nov 2024
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Short summary
Remote sensing measurements of forest structure promise to improve monitoring of tropical forest health. We investigated drone-based vegetation measurements' abilities to capture different structural and functional elements of a tropical forest. We found that emerging vegetation indices captured greater variability than traditional indices and one new index trends with daily change in carbon flux. These new tools can help improve understanding of tropical forest structure and function.
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