Temporal resolution trumps spectral resolution in UAV-based monitoring of cereal senescence dynamics
Remote-sensing based proxies derived from both RGB and multispectral sensors can capture the senescence process accurately. The sub-sampling emphasized the importance of timely and frequent assessments, but also highlighted the need for robust methods that enable such frequent assessments to be made under variable environmental conditions. The proposed measurement and data processing strategies can improve the measurement and understanding of senescence dynamics, facilitating adaptive crop breeding strategies in the context of climate change.
Authors
- Jonas Anderegg (ORCID: https://orcid.org/0000-0002-3345-4696)
- Flavian Tschurr (ORCID: https://orcid.org/0000-0001-7986-1556)
- Achim Walter (ORCID: https://orcid.org/0000-0001-7753-9643)
- Lukas Roth (ORCID: https://orcid.org/0000-0003-1435-9535)
- Olivia Zumsteg (ORCID: https://orcid.org/0009-0009-3526-2119)
- Nicola Storni
Institutions
- ETH Zurich (CH)
Publication Details
- Journal
- Plant Methods
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1186/s13007-024-01308-x
- Citations
- 8
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 3.67
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung