Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation

0575104 - ÚVGZ 2024 RIV NL eng J - Journal Article
Ahmed, K. R. - Paul-Limoges, E. - Rascher, U. - Hanuš, Jan - Miglietta, F. - Colombo, R. - Peressotti, A. - Genangeli, A. - Damm, A.
Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation.
Isprs Journal of Photogrammetry and Remote Sensing. Roč. 203, SEP (2023), s. 71-85. ISSN 0924-2716. E-ISSN 1872-8235
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : Transpiration * Sun-induced chlorophyll fluorescence * Penman-Monteith * Ball-Berry-Leuning * Airborne optical data * Airborne thermal data
OECD category: Remote sensing
Impact factor: 12.7, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S092427162300196X?via%3Dihub

Knowledge of actual crop transpiration (T) is important for advanced crop management but challenging to obtain due to the large spatial and temporal variation of T. Remote sensing offers various possibilities to assess T dynamics, while particularly sun-induced chlorophyll fluorescence (SIF) has been demonstrated as a sensitive empirical proxy for T. Despite this success, the advancement of the mechanistic understanding of how SIF relates to T dynamics is key for the future development and implementation of robust and reliable SIF-based T products. This study aims to contribute insights by experimentally assessing the sensitivity of several SIF-based T estimation strategies for evolving soil water limitation. We investigated extensive in situ and airborne data acquired during a water limitation experiment in a maize canopy in northern Italy. We evaluated five empirical strategies to integrate SIF in a T modelling framework based on the Penman-Monteith (PM) and the Ball-Berry-Leuning (BBL) concepts. Our results indicate that replacing model parameters sensitive to canopy conductance with SIF results in the best agreement between modelled and measured T under evolving water limitation. Our study contributes expanding existing knowledge with empirical insights on the sensitivity of SIF based T approaches under increasing soil water limitation at short time scales.
Permanent Link: https://hdl.handle.net/11104/0344961