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Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation
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SYSNO ASEP 0575104 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation Author(s) Ahmed, K. R. (CH)
Paul-Limoges, E. (CH)
Rascher, U. (DE)
Hanuš, Jan (UEK-B) RID, SAI, ORCID
Miglietta, F. (IT)
Colombo, R. (IT)
Peressotti, A. (IT)
Genangeli, A. (IT)
Damm, A. (CH)Source Title Isprs Journal of Photogrammetry and Remote Sensing. - : Elsevier - ISSN 0924-2716
Roč. 203, SEP (2023), s. 71-85Number of pages 15 s. Language eng - English Country NL - Netherlands Keywords Transpiration ; Sun-induced chlorophyll fluorescence ; Penman-Monteith ; Ball-Berry-Leuning ; Airborne optical data ; Airborne thermal data Subject RIV JB - Sensors, Measurment, Regulation OECD category Remote sensing R&D Projects LM2023048 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support UEK-B - RVO:86652079 UT WOS 001051683000001 EID SCOPUS 85166339348 DOI 10.1016/j.isprsjprs.2023.07.016 Annotation 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. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2024 Electronic address https://www.sciencedirect.com/science/article/pii/S092427162300196X?via%3Dihub
Number of the records: 1