Biogeosciences
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Articles | Volume 23, issue 17
Articles | Volume 23, issue 17
https://doi.org/10.5194/bg-23-6179-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-6179-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 17
Research article
 | 
07 Sep 2026
Research article |  | 07 Sep 2026

Wheat biomass estimation across crop development using UAV LiDAR structure–intensity fusion alongside multispectral and thermal data

Jordan Steven Bates, Carsten Montzka, Rajina Bajracharya, Harry Vereecken, and François Jonard

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Short summary
This study compared drone-based laser, multispectral, and thermal sensors for estimating winter wheat biomass. Combining laser-derived crop structure and signal intensity improved predictions compared with crop height or multispectral data alone, while combining multispectral and thermal data with laser-derived features provided additional information during particular growth stages. The results highlight the potential of underutilized laser-derived features for crop biomass monitoring.
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