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Tree biomass estimation in agroforestry presents some complexities due to highly variable tree growth conditions, which traditionally require laborious and expensive field-destructive methods to obtain ground-truth data. On the contrary, satellite- and drone-based remote sensing has emerged as a less labour-intensive alternative to estimate tree biomass indirectly. In this paper, the advantages and limitations of these two different approaches are reviewed. Remote sensing can significantly enhance AGB estimation, enabling scalable and efficient biomass monitoring. However, this technology needs accurate data calibration with ground-truth biomass data. Despite the high costs, field-destructive measurements are currently necessary to develop specific allometric equations in agroforestry conditions.

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Comparing Advantages and Disadvantages of Ground-Based Destructive Methods with Remote Sensing for Tree Biomass Estimation

  • 会议论文

  • 发表日期：

    2026年

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  • N. Conti,
  • C. Garosi,
  • E. Nigrone,
  • F. Franciamore,
  • R. Ramadhan,
  • M. Silvestre-Diniz,
  • J. Belenguer-Ballester,
  • G. Tarraga,
  • P. Paris,
  • L. Scatena,
  • E. Lombardi,
  • G. Della Rocca

摘要

Tree biomass estimation in agroforestry presents some complexities due to highly variable tree growth conditions, which traditionally require laborious and expensive field-destructive methods to obtain ground-truth data. On the contrary, satellite- and drone-based remote sensing has emerged as a less labour-intensive alternative to estimate tree biomass indirectly. In this paper, the advantages and limitations of these two different approaches are reviewed. Remote sensing can significantly enhance AGB estimation, enabling scalable and efficient biomass monitoring. However, this technology needs accurate data calibration with ground-truth biomass data. Despite the high costs, field-destructive measurements are currently necessary to develop specific allometric equations in agroforestry conditions.