Biogeosciences
Biogeosciences
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Articles | Volume 23, issue 14
Articles | Volume 23, issue 14
https://doi.org/10.5194/bg-23-4927-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-4927-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 14
Research article
 | 
20 Jul 2026
Research article |  | 20 Jul 2026

Assessing forest biomass and productivity with data-driven vegetation indices: insights from 900 000 simulated forest stands

Samuel M. Fischer, Rico Fischer, and Andreas Huth

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Short summary
We explored how satellite light measurements can reveal forest health and growth more accurately. Using computer models of many forest types, we discovered new ways to combine light wavelengths that strongly relate to forest size and productivity. Our results show that with the right wavelength choices, satellite data could give precise insights into forests, supporting better monitoring and management of these vital ecosystems worldwide.
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