Jose Moreno
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Articles (11)
Year:
2025
Year:
2024
Solar-induced chlorophyll fluorescence (SIF) is closely related to plant photosynthetic activity and has been used in different studies as a proxy for vegetation health status. However, in order to use SIF as a relevant indicator of plant physiological stress, it is necessary to accurately quantify the amount of light absorbed by the photosynthetic plant pigments, called the absorbed photosynthetically active radiation (APAR). The ratio between fluorescence emission and light absorption (i.e., SIF and APAR) is known as the fluorescence quantum efficiency (FQE). In this work, simultaneous measurements of SIF and reflected radiance were performed both at the leaf and canopy levels for Salvia farinacea and Datura stramonium plants. With the aim of disentangling the proportion of sunlit and shaded absorbed PAR, an ad hoc experimental setup was designed to provide a wide range of fraction vegetation cover (FVC) canopy settings. A linear spectral unmixing method was proposed to estimate the contribution of soil, sunlit, and shaded vegetation from the total reflectance spectrum measured at the canopy level. Later, the retrieved sunlit FVC (FVCsunlit) was used to estimate the (dominant) green APAR flux, and this was combined with the integral of the spectrally resolved fluorescence to calculate the FQE. The results of this study demonstrated that under no-stress conditions and independently of the FVC, similar FQE values were observed when SIF was properly normalised by the green APAR flux. The results obtained showed that the reflectance spectra retrieved using a linear unmixing method had a maximum RMSE of less than 0.03 along the spectrum. The FVCsunlit evaluation showed an RMSE of 14% with an R2 of 0.84. Moreover, the FQE values obtained at the top of the canopy (TOC) were found statistically comparable to the reference values at the leaf level. These results support further efforts to improve the interpretation of fluorescence based on field spectroscopy and the further upscaling to imaging spectroscopy at airborne and satellite levels.
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Collaborators (10)
Eduardo Vicente-Pedros
Chair Professor
University of Valencia
Shirley Papuga
Associate Professor
Wayne State University
Juan Soria
Prof. Dr.
University of Valencia
Uwe Rascher
Prof.
University of Bonn
Shari Van Wittenberghe
University of Valencia
Ana Belen Ruescas
Associate Professor
University of Valencia
Jordi Muñoz-Marí
Professor
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Jesús Delegido
University of Valencia
Luis Alonso Chorda
University of Helsinki
Zbyněk Malenovský
Chair Proffesorship at Remote Sensing Research Group | Spokesperson of Center for Land Surface Remote Sensing
University of Bonn
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