Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data
In this study, we are testing a proxy for red and far-red Sun-induced fluorescence (SIF) using an integrated fuzzy logic modelling approach, termed as SIF<sub>fuzzy</sub> and SIF<sub>fuzzy-APAR</sub>. The SIF emitted from the core of the photosynthesis and observed at the top...
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| Format: | Article |
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MDPI AG
2021-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/13/2545 |
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| author | Subhajit Bandopadhyay Anshu Rastogi Sergio Cogliati Uwe Rascher Maciej Gąbka Radosław Juszczak |
| author_facet | Subhajit Bandopadhyay Anshu Rastogi Sergio Cogliati Uwe Rascher Maciej Gąbka Radosław Juszczak |
| author_sort | Subhajit Bandopadhyay |
| collection | DOAJ |
| description | In this study, we are testing a proxy for red and far-red Sun-induced fluorescence (SIF) using an integrated fuzzy logic modelling approach, termed as SIF<sub>fuzzy</sub> and SIF<sub>fuzzy-APAR</sub>. The SIF emitted from the core of the photosynthesis and observed at the top-of-canopy is regulated by three major controlling factors: (1) light interception and absorption by canopy plant cover; (2) escape fraction of SIF photons (fesc); (3) light use efficiency and non-photochemical quenching (NPQ) processes. In our study, we proposed and validated a fuzzy logic modelling approach that uses different combinations of spectral vegetation indices (SVIs) reflecting such controlling factors to approximate the potential SIF signals at 760 nm and 687 nm. The <i>HyPlant</i> derived and field validated SVIs (i.e., SR, NDVI, EVI, NDVIre, PRI) have been processed through the membership transformation in the first stage, and in the next stage the membership transformed maps have been processed through the Fuzzy Gamma simulation to calculate the SIF<sub>fuzzy</sub>. To test whether the inclusion of absorbed photosynthetic active radiation (APAR) increases the accuracy of the model, the SIF<sub>fuzzy</sub> was multiplied by APAR (SIF<sub>fuzzy-APAR</sub>). The agreement between the modelled SIF<sub>fuzzy</sub> and actual SIF airborne retrievals expressed by R<sup>2</sup> ranged from 0.38 to 0.69 for SIF<sub>760</sub> and from 0.85 to 0.92 for SIF<sub>687</sub>. The inclusion of APAR improved the R<sup>2</sup> value between SIF<sub>fuzzy-APAR</sub> and actual SIF. This study showed, for the first time, that a diverse set of SVIs considered as proxies of different vegetation traits, such as biochemical, structural, and functional, can be successfully combined to work as a first-order proxy of SIF. The previous studies mainly included the far-red SIF whereas, in this study, we have also focused on red SIF along with far-red SIF. The analysis carried out at 1 m spatial resolution permits to better infer SIF behaviour at an ecosystem-relevant scale. |
| first_indexed | 2024-03-09T04:45:23Z |
| format | Article |
| id | doaj.art-d60a41961b0c40ea877156eba643f870 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T04:45:23Z |
| publishDate | 2021-06-01 |
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| series | Remote Sensing |
| spelling | doaj.art-d60a41961b0c40ea877156eba643f8702023-12-03T13:16:33ZengMDPI AGRemote Sensing2072-42922021-06-011313254510.3390/rs13132545Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy DataSubhajit Bandopadhyay0Anshu Rastogi1Sergio Cogliati2Uwe Rascher3Maciej Gąbka4Radosław Juszczak5Laboratory of Bioclimatology, Department of Ecology and Environmental Protection, Faculty of Environmental Engineering and Mechanical Engineering, Poznań University of Life Sciences, 60-649 Poznań, PolandLaboratory of Bioclimatology, Department of Ecology and Environmental Protection, Faculty of Environmental Engineering and Mechanical Engineering, Poznań University of Life Sciences, 60-649 Poznań, PolandDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, 20126 Milano, ItalyInstitute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425 Jülich, GermanyDepartment of Hydrobiology, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614 Poznań, PolandLaboratory of Bioclimatology, Department of Ecology and Environmental Protection, Faculty of Environmental Engineering and Mechanical Engineering, Poznań University of Life Sciences, 60-649 Poznań, PolandIn this study, we are testing a proxy for red and far-red Sun-induced fluorescence (SIF) using an integrated fuzzy logic modelling approach, termed as SIF<sub>fuzzy</sub> and SIF<sub>fuzzy-APAR</sub>. The SIF emitted from the core of the photosynthesis and observed at the top-of-canopy is regulated by three major controlling factors: (1) light interception and absorption by canopy plant cover; (2) escape fraction of SIF photons (fesc); (3) light use efficiency and non-photochemical quenching (NPQ) processes. In our study, we proposed and validated a fuzzy logic modelling approach that uses different combinations of spectral vegetation indices (SVIs) reflecting such controlling factors to approximate the potential SIF signals at 760 nm and 687 nm. The <i>HyPlant</i> derived and field validated SVIs (i.e., SR, NDVI, EVI, NDVIre, PRI) have been processed through the membership transformation in the first stage, and in the next stage the membership transformed maps have been processed through the Fuzzy Gamma simulation to calculate the SIF<sub>fuzzy</sub>. To test whether the inclusion of absorbed photosynthetic active radiation (APAR) increases the accuracy of the model, the SIF<sub>fuzzy</sub> was multiplied by APAR (SIF<sub>fuzzy-APAR</sub>). The agreement between the modelled SIF<sub>fuzzy</sub> and actual SIF airborne retrievals expressed by R<sup>2</sup> ranged from 0.38 to 0.69 for SIF<sub>760</sub> and from 0.85 to 0.92 for SIF<sub>687</sub>. The inclusion of APAR improved the R<sup>2</sup> value between SIF<sub>fuzzy-APAR</sub> and actual SIF. This study showed, for the first time, that a diverse set of SVIs considered as proxies of different vegetation traits, such as biochemical, structural, and functional, can be successfully combined to work as a first-order proxy of SIF. The previous studies mainly included the far-red SIF whereas, in this study, we have also focused on red SIF along with far-red SIF. The analysis carried out at 1 m spatial resolution permits to better infer SIF behaviour at an ecosystem-relevant scale.https://www.mdpi.com/2072-4292/13/13/2545sun-induced fluorescenceSIF<sub>fuzzy</sub>SIF<sub>fuzzy-APAR</sub>spectral vegetation indicesHyPlantfuzzy logic modelling |
| spellingShingle | Subhajit Bandopadhyay Anshu Rastogi Sergio Cogliati Uwe Rascher Maciej Gąbka Radosław Juszczak Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data Remote Sensing sun-induced fluorescence SIF<sub>fuzzy</sub> SIF<sub>fuzzy-APAR</sub> spectral vegetation indices HyPlant fuzzy logic modelling |
| title | Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data |
| title_full | Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data |
| title_fullStr | Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data |
| title_full_unstemmed | Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data |
| title_short | Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data |
| title_sort | can vegetation indices serve as proxies for potential sun induced fluorescence sif a fuzzy simulation approach on airborne imaging spectroscopy data |
| topic | sun-induced fluorescence SIF<sub>fuzzy</sub> SIF<sub>fuzzy-APAR</sub> spectral vegetation indices HyPlant fuzzy logic modelling |
| url | https://www.mdpi.com/2072-4292/13/13/2545 |
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