Special Issue "Remote Sensing of Fluorescence, Photosynthesis and Vegetation Status"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Anshu Rastogi
E-Mail Website
Guest Editor
Laboratory of Bioclimatology, Department of Ecology and Environmental Protection, Poznan University of Life Sciences, Piątkowska 94, 60-649 Poznań, Poland
Interests: plant stress physiology, chlorophyll fluorescence, sun-induced fluorescence, environmental monitoring
Dr. Jochem Verrelst
E-Mail Website
Guest Editor
Senior scientist, Laboratory for Earth Observation, Image Processing Laboratory - Scientific Park, University of Valencia, C/ Catedrático José Beltrán, 2, 46980 Paterna, Valencia, Spain
Interests: imaging spectroscopy; vegetation properties retrieval; FLEX, vegetation fluorescence; optical remote sensing; radiative transfer models; retrieval methods
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Special Issue Information

Dear Colleagues,

Photosynthesis is the basis of life on Earth. During photosynthesis, part of the radiation absorbed by chlorophyll is re-emitted in the form of fluorescence. Therefore, the measurement of chlorophyll fluorescence is considered to be a valuable tool to monitor photosynthetic activity. Remote sensing of chlorophyll fluorescence is a fast-growing field, which is important for quantifying vegetation’s health status, encompassing its functional activity from the canopy to ecosystem levels at global scale. In the last decade, the research on Sun-Induced Chlorophyll Fluorescence (SIF) has increased rapidly. Novel instruments, measuring systems and platforms are developed to acquire reflectance spectra with ultrafine spectral resolution. At the same time, new and improved retrieval methods have been developed with the purpose of extracting the weak SIF signal from reflectance spectra with higher accuracy. All kinds of research experiments have been performed recently through different platforms (Unmanned aerial vehicle, airborne, spaceborne) to study the sensitivity of SIF signals on environmental factors (pollutants, herbicides, etc.) to better interpret the SIF and its relation to photosynthesis at multiple scales (leaf, canopy, ecosystem). For this purpose, advanced physiological and radiative transfer models are being developed, which helps in combining SIF data with other available biophysical information.

In the meantime, space satellite missions such as OCO-2, GOSAT, GOME-2, and others are already exploiting the SIF variability to understand the earth's vegetation, whereas the dedicated Fluorescence Explorer (FLEX)—Sentinel-3 tandem mission by European Space Agency is in its implementation phase.

The field of SIF-related is rapidly evolving and SIF has been generally recognized as the most direct remote sensing proxy for photosynthesis estimation. However, additional information is required for a better understanding of the complex vegetation physiology mechanisms, such as absorbed photosynthetic radiation by plants, non-photochemical energy dissipation, plant structure, the role of the atmosphere, among others.

Altogether, this Special Issue calls for research and review articles that contribute to: (1) the progress in the field of remote sensing of chlorophyll fluorescence, and (2) SIF-related applications for a better understanding of photosynthesis and vegetation status.

Dr. Anshu Rastogi
Dr. Jochem Verrelst
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Fluorescence
  • Sun Induced fluorescence
  • SIFChlorophyll
  • Photosynthesis
  • Fluorescence Explorer
  • SCOPE
  • Radiative Transfer Models

Published Papers (2 papers)

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Research

Open AccessArticle
Satellite-Based Observations Reveal the Altitude-Dependent Patterns of SIFyield and Its Sensitivity to Ambient Temperature in Tibetan Meadows
Remote Sens. 2021, 13(7), 1400; https://doi.org/10.3390/rs13071400 - 05 Apr 2021
Viewed by 471
Abstract
Photosynthesis and its sensitivity to the changing environment in alpine regions are of great significance to the understanding of vegetation–environment interactions and other global ecological processes in the context of global change, while their variations along the elevation gradient remain unclear. Using solar-induced [...] Read more.
Photosynthesis and its sensitivity to the changing environment in alpine regions are of great significance to the understanding of vegetation–environment interactions and other global ecological processes in the context of global change, while their variations along the elevation gradient remain unclear. Using solar-induced chlorophyll fluorescence (SIF) derived from satellite observations, we discovered an increase in solar-induced fluorescence yield (SIFyield) with rising elevation in Tibetan meadows in the summer, related to the altitudinal variation in temperature sensitivity at both seasonal and interannual scales. Results of the altitudinal patterns of SIFyield demonstrated higher temperature sensitivity at high altitudes, and the sensitivity at the interannual scale even exceeds that at seasonal scale when the elevation reaches above 4700 m. This high-temperature sensitivity of SIFyield at high altitudes implies potential adaptation of alpine plants and also indicates that changes in photosynthesis-related physiological functions at high altitudes should receive more attention in climate change research. The altitudinal SIFyield patterns revealed in this study also highlight that variations in temperature sensitivity should be considered in models, otherwise the increasing trend of SIFyield observations can never be discovered in empirical simulations. Full article
(This article belongs to the Special Issue Remote Sensing of Fluorescence, Photosynthesis and Vegetation Status)
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Open AccessArticle
A New Fluorescence Quantum Yield Efficiency Retrieval Method to Simulate Chlorophyll Fluorescence under Natural Conditions
Remote Sens. 2020, 12(24), 4053; https://doi.org/10.3390/rs12244053 - 11 Dec 2020
Viewed by 440
Abstract
Chlorophyll fluorescence (ChlF) is a useful indicator of plant photosynthesis and stress conditions. ChlF spectra can be simulated with the Fluspect model, which is a radiative transfer model that simulates leaf reflectance, transmittance, and fluorescence; however, it has never been used or validated [...] Read more.
Chlorophyll fluorescence (ChlF) is a useful indicator of plant photosynthesis and stress conditions. ChlF spectra can be simulated with the Fluspect model, which is a radiative transfer model that simulates leaf reflectance, transmittance, and fluorescence; however, it has never been used or validated under natural conditions. In this paper, a new fluorescence quantum yield efficiency of photosystem (FQE) retrieval method based on the Fluspect model is proposed for use in simulating ChlF in two healthy varieties of soybeans grown under natural conditions. The parameters, Chlorophyll a + b content (Cab), carotenoid (Cca), dry matter content (Cdm), indicator of leaf water content (Cw) and leaf mesophyll structure (N) and the simulated fluorescence from the experiment were compared with the measured values to validate the model under natural conditions. The results show a good correlation (coefficient of determination R2 = 0.7–0.9) with the measured data at wavelengths of 650–880 nm. However, there is a large relative error (RE) that extends up to 150% at the peak of the fluorescence curve. To improve the accuracy of the simulation, an inversion code containing the emission efficiency parameters for photosystems I and II was added, which retrieves FQE I and II from the measured fluorescence spectra. The evaluation results for all wavelengths and two peaks demonstrated a significant reduction in the error at the peak of the curve by the Fluspect model with the FQE inversion code. This new method reduced the overestimation of fluorescence from 150% to 20% for the RE, and the R2 value was higher than 0.9 at the spectra peaks. Additionally, the original plant parameter information remained mostly unchanged upon the addition of the inversion code. Full article
(This article belongs to the Special Issue Remote Sensing of Fluorescence, Photosynthesis and Vegetation Status)
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