Remotely sensed leaf biochemistry intra-individual variability in orchard tree CANOPies for agroecology
SCOPE & OBJECTIVES
The CANOP project targets (sub)centimeter scale studies for mapping the intra-individual variability of foliar biochemical traits in orchard trees using multi-modal optical remote sensing data. The objective is to improve the characterization of the health/nutritional status of each tree, for the evaluation of two agroecological practices for apricot and peach orchards: optimized management of inputs and selection of resilient varieties. The scientific challenges are as follows: (i) a better physical understanding of small-scale wave-matter interactions (particularly directional ones), based on the complementarity of spectroscopic, polarimetric and LiDAR 3-D data, (ii) the development of robust and transposable regression methods, between vegetation traits and metrics derived from remote sensing data, by combining physical modelling approaches and machine learning methods, and (iii) performing a multi-scale analysis to assess the contribution of intra-individual versus inter-individual variability mapping of these vegetation traits, using experiments carried out both in the laboratory and in the field, drone acquisitions and the use of satellite data, i.e. with spatial resolutions ranging from the (sub)centimeter to the (deca)meter scale. The results are expected to strenghen the role of optical remote sensing that is non-destructive, high-throughput and dynamic to assess vegetation condition on a large scale compared to laborious and local observations in the field and in laboratory, for future tree-based agricultural practices for precision farming.
WORK PACKAGE BREAKDOWN
GENERAL INFORMATION
Duration: 2023-2026
Funding: ANR JCJC (grant: ANR-22-CE04-0002)
Principal investigator: Karine Adeline (ONERA); Contributors: Yannick Boucher, Thomas Rivière, Roland Domel, Ahmed Moussous, Jean-Pierre Segaud, Gérald Lemineur, François Margall, Romain Ceolato, Xavier Orlik, Elise Colin, Aurélien Plyer (DOTA/DTIS-ONERA), Jean-Philippe Gastellu-Etchegorry, Yingjie Wang (UT3-CESBIO), Sylvain Jay (INRAE-EMMAH), Gilles Vercambre, Sylvie Serino, Doriane Dumont, Valérie Serra (INRAE-PSH), Quentin Barra (INRAE-A2M), Morgane Roth, Marie-Noëlle Corre (INRAE-GAFL), Jean-Baptiste Féret (INRAE-TETIS); Collaboration: Nicolas Marlet (PRO-LITE)
Recruited non-permanent staff:
- Nathan Sikora (PhD student)
