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Advances in the Remote Sensing of Solar-Induced Chlorophyll Fluorescence for Vegetation Stress

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: 15 April 2025 | Viewed by 2274

Special Issue Editors

Dr. Zhigang Liu

E-Mail Website
Guest Editor
State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: hyperspectral remote sensing; remote sensing of vegetation physiology; solar-induced chlorophyll fluorescence
Dr. Shan Xu

E-Mail Website
Guest Editor
Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China
Interests: remote sensing of solar-induced chlorophyll fluorescence; photosynthesis; plant phenotyping
Dr. Micol Rossini

E-Mail Website
Guest Editor
Remote Sensing of Environmental Dynamics Laboratory, Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy
Interests: GIS and remote sensing; unmanned aerial systems (UAV); earth observation; vegetation; ecology; environment; cryosphere
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Monitoring and assessing the impacts of biotic and abiotic stress on vegetation holds significant importance for food production and global ecosystem health in the context of climate change. Given its inherent connection to photosynthesis, solar-induced chlorophyll fluorescence (SIF) shows potential as an emerging remote sensing method for identifying plant stress.

Numerous studies have already demonstrated that SIF exhibits a more sensitive response to drought and high-temperature stress than vegetation indices. However, the underlying mechanism of SIF’s response to different types of stress remains unclear. Additionally, the response patterns of SIF at different temporal and spatial scales still lack sufficient understanding. Moreover, further in-depth research is required to explore effective methods for retrieving physiological anomalies caused by stress from SIF and subsequently to develop remote-sensing-based approaches for stress assessment.

We invite research that advances our understanding of SIF’s response to across different scales and various plant types, as well as explores how SIF can be effectively utilized as a stress assessment method.

Topics of interest for this Special Issue include:

  • The response of SIF to biotic (such as bacteria, parasites, insects, weeds) and abiotic stress (such as drought, salinity, extreme temperatures) at different spatial and temporal scales.
  • Theoretical and experimental advances in understanding the mechanistic relationships between stress-induced physiological variations and SIF.
  • The retrieval of stress-induced physiological anomalies from SIF.
  • Combining radiative transfer model and vegetation physiological model to simulate SIF signals under stress conditions.
  • Stress monitoring and assessment methods based on SIF.
  • The impact of stress on the relationship between SIF and gross primary production (GPP).
  • Utilizing SIF to evaluate the impacts of stress on crop production and ecosystem health.

Dr. Zhigang Liu
Dr. Shan Xu
Dr. Micol Rossini
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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 2700 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

  • solar-induced chlorophyll fluorescence
  • stress detection and assessment
  • biotic stress
  • abiotic stress
  • drought

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Published Papers (2 papers)

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Research

30 pages, 4053 KiB  
Article
Simulating High-Resolution Sun-Induced Chlorophyll Fluorescence Image of Three-Dimensional Canopy Based on Photon Mapping
by Yaotao Luo, Donghui Xie, Jianbo Qi, Guangjian Yan and Xihan Mu
Remote Sens. 2024, 16(20), 3783; https://doi.org/10.3390/rs16203783 - 11 Oct 2024
Viewed by 744
Abstract
The remote sensing of sun-induced chlorophyll fluorescence (SIF) is an emerging technique with immense potential for terrestrial vegetation sciences. However, the interpretation of fluorescence data is often hindered by the complexity of observed land surfaces. Therefore, advanced remote sensing models, particularly physically based [...] Read more.
The remote sensing of sun-induced chlorophyll fluorescence (SIF) is an emerging technique with immense potential for terrestrial vegetation sciences. However, the interpretation of fluorescence data is often hindered by the complexity of observed land surfaces. Therefore, advanced remote sensing models, particularly physically based simulations, are critical to accurately interpret SIF data. In this work, we propose a three-dimensional (3D) radiative transfer model that employs the Monte Carlo ray-tracing technique to simulate the excitation and transport of SIF within plant canopies. This physically based approach can quantify the various radiative processes contributing to the observed SIF signal with high fidelity. The model’s performance is rigorously evaluated by comparing the simulated SIF spectra and angular distributions to field measurements, as well as conducting systematic comparisons with an established radiative transfer model. The results demonstrate the proposed model’s ability to reliably reproduce the key spectral and angular characteristics of SIF, with the coefficient of determination (R2) exceeding 0.98 and root mean square error (RMSE) being less than 0.08 mW m−2 sr−1 nm−1 for both the red and far-red fluorescence peaks. Furthermore, the model’s versatile representation of canopy structures, enabled by the decoupling of radiation and geometry, is applied to study the impact of 3D structure on SIF patterns. This capability makes the proposed model a highly attractive tool for investigating SIF distributions in realistic, heterogeneous canopy environments. Full article
(This article belongs to the Special Issue Advances in the Remote Sensing of Solar-Induced Chlorophyll Fluorescence for Vegetation Stress)
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20 pages, 9140 KiB  
Article
The Afternoon/Morning Ratio of Tower-Based Solar-Induced Chlorophyll Fluorescence Can Be Used to Monitor Drought in a Chinese Cork Oak Plantation
by Qingmei Pan, Xiangfen Cheng, Meijun Hu, Linqi Liu, Xin Wang, Jinsong Zhang, Zhipeng Li, Wenwen Yuan and Xiang Gao
Remote Sens. 2024, 16(11), 1897; https://doi.org/10.3390/rs16111897 - 24 May 2024
Viewed by 813
Abstract
Monitoring drought stress is crucial for estimating productivity and assessing the health status of forest ecosystems under global climate change. Solar-induced chlorophyll fluorescence (SIF) is mechanistically coupled to photosynthesis and has advantages over greenness-based vegetation indices in detecting drought. In recent years, SIF [...] Read more.
Monitoring drought stress is crucial for estimating productivity and assessing the health status of forest ecosystems under global climate change. Solar-induced chlorophyll fluorescence (SIF) is mechanistically coupled to photosynthesis and has advantages over greenness-based vegetation indices in detecting drought. In recent years, SIF has commonly been used in monitoring drought stress in crop ecosystems. However, the response of tower-based SIF to drought stress in forest ecosystems remains unclear. In this study, we investigated the potential of tower-based SIF to monitor drought, which was quantified using the plant water stress index (PWSI) in a Chinese cork oak plantation. The results show the negative effect of drought on SIF, and afternoon depression of SIF emission under drought stress was observed. Canopy SIF (F) exhibited a nonlinear relationship with PWSI, while the quantum yield of SIF (ΦF) exhibited a significant linear relationship with PWSI at 687 nm and 760 nm (ΦF687: R2 = 0.90; ΦF760: R2 = 0.85). Incident radiation (PAR) and canopy structure affected the response of SIF to drought stress, with PAR as the main factor causing the nonlinear relationship between F and PWSI. Afternoon depression was described as the afternoon/morning ratio (AMR). AMRF and AMRΦF exhibited a negative linear response to PWSI. AMRF was less affected than F by PAR and canopy structures, and AMRΦF was more physiologically representative than ΦF. Moreover, AMRΦF was sensitive to VPD and REW, and it might be a good indicator of drought. Red SIF was more sensitive to drought than far-red SIF, as the R2 of PWSI with AMRΦF687 (R2 = 0.89) was higher than that with AMRΦF687 (R2 = 0.84). These results highlight the potential of tower-based SIF, especially red SIF, for drought monitoring in a plantation, and consideration of the physiological diurnal variation in SIF under drought stress is crucial for improving the accuracy of drought stress monitoring. Full article
(This article belongs to the Special Issue Advances in the Remote Sensing of Solar-Induced Chlorophyll Fluorescence for Vegetation Stress)
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