Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant
Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure of photosynthesis and is therefore considered important to advance capacity for the monitoring of gros...
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creator | Siegmann, Bastian Cendrero-Mateo, Maria Pilar Cogliati, Sergio Damm, Alexander Gamon, John Herrera, David Jedmowski, Christoph Junker-Frohn, Laura Verena Kraska, Thorsten Muller, Onno Rademske, Patrick van der Tol, Christiaan Quiros-Vargas, Juan Yang, Peiqi Rascher, Uwe |
description | Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure of photosynthesis and is therefore considered important to advance capacity for the monitoring of gross primary production (GPP) while it has also been suggested that its yield facilitates the early detection of vegetation stress. However, due to the influence of different confounding effects, the apparent SIF signal measured at canopy level differs from the fluorescence emitted at leaf level, which makes its physiological interpretation challenging. One of these effects is the scattering of SIF emitted from leaves on its way through the canopy. The escape fraction (fesc) describes the scattering of SIF within the canopy and corresponds to the ratio of apparent SIF at canopy level to SIF at leaf level. In the present study, the fluorescence correction vegetation index (FCVI) was used to determine fesc of far-red SIF for three structurally different crops (sugar beet, winter wheat, and fruit trees) from a diurnal data set recorded by the airborne imaging spectrometer HyPlant. This unique data set, for the first time, allowed a joint analysis of spatial and temporal dynamics of structural effects and thus the downscaling of far-red SIF from canopy (SIF760canopy) to leaf level (SIF760leaf). For a homogeneous crop such as winter wheat, it seems to be sufficient to determine fesc once a day to reliably scale SIF760 from canopy to leaf level. In contrast, for more complex canopies such as fruit trees, calculating fesc for each observation time throughout the day is strongly recommended. The compensation for structural effects, in combination with normalizing SIF760 to remove the effect of incoming radiation, further allowed the estimation of SIF emission efficiency (εSIF) at leaf level, a parameter directly related to the diurnal variations of plant photosynthetic efficiency.
•The far-red SIF (SIF760) escape fraction (fesc) strongly depends on the crop type•Crops with complex canopy geometries show more spatio-temporal variability in fesc•Detection of diurnal variations in plant physiology from airborne SIF760 maps |
doi_str_mv | 10.1016/j.rse.2021.112609 |
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•The far-red SIF (SIF760) escape fraction (fesc) strongly depends on the crop type•Crops with complex canopy geometries show more spatio-temporal variability in fesc•Detection of diurnal variations in plant physiology from airborne SIF760 maps</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2021.112609</identifier><identifier>PMID: 34602655</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Airborne sensing ; Canopies ; Chlorophyll ; Crops ; Data acquisition ; Datasets ; Diurnal course ; Diurnal variations ; Dynamic structural analysis ; FCVI ; Fluorescence ; Fluorescence correction vegetation index ; Fluorescence escape fraction ; Fruit trees ; Fruits ; Herbivores ; HyPlant ; Image acquisition ; Imaging spectrometers ; Leaves ; Mathematical analysis ; Normalizing ; Photosynthesis ; Photosynthetically active radiation ; Physiological effects ; Primary production ; Radiation ; Remote sensing ; Scattering ; SIF ; Solar-induced chlorophyll fluorescence ; Spatial analysis ; Sugar beets ; Trees ; Triticum aestivum ; Vegetation ; Vegetation index ; Wheat ; Winter wheat</subject><ispartof>Remote sensing of environment, 2021-10, Vol.264, p.112609, Article 112609</ispartof><rights>2021 The Authors</rights><rights>2021 The Authors.</rights><rights>Copyright Elsevier BV Oct 2021</rights><rights>2021 The Authors 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c479t-bf9795d52be81c08e36086c3693b33e9231ed378a03c49830e3aa2bda33cbf933</citedby><cites>FETCH-LOGICAL-c479t-bf9795d52be81c08e36086c3693b33e9231ed378a03c49830e3aa2bda33cbf933</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.rse.2021.112609$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34602655$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Siegmann, Bastian</creatorcontrib><creatorcontrib>Cendrero-Mateo, Maria Pilar</creatorcontrib><creatorcontrib>Cogliati, Sergio</creatorcontrib><creatorcontrib>Damm, Alexander</creatorcontrib><creatorcontrib>Gamon, John</creatorcontrib><creatorcontrib>Herrera, David</creatorcontrib><creatorcontrib>Jedmowski, Christoph</creatorcontrib><creatorcontrib>Junker-Frohn, Laura Verena</creatorcontrib><creatorcontrib>Kraska, Thorsten</creatorcontrib><creatorcontrib>Muller, Onno</creatorcontrib><creatorcontrib>Rademske, Patrick</creatorcontrib><creatorcontrib>van der Tol, Christiaan</creatorcontrib><creatorcontrib>Quiros-Vargas, Juan</creatorcontrib><creatorcontrib>Yang, Peiqi</creatorcontrib><creatorcontrib>Rascher, Uwe</creatorcontrib><title>Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant</title><title>Remote sensing of environment</title><addtitle>Remote Sens Environ</addtitle><description>Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure of photosynthesis and is therefore considered important to advance capacity for the monitoring of gross primary production (GPP) while it has also been suggested that its yield facilitates the early detection of vegetation stress. However, due to the influence of different confounding effects, the apparent SIF signal measured at canopy level differs from the fluorescence emitted at leaf level, which makes its physiological interpretation challenging. One of these effects is the scattering of SIF emitted from leaves on its way through the canopy. The escape fraction (fesc) describes the scattering of SIF within the canopy and corresponds to the ratio of apparent SIF at canopy level to SIF at leaf level. In the present study, the fluorescence correction vegetation index (FCVI) was used to determine fesc of far-red SIF for three structurally different crops (sugar beet, winter wheat, and fruit trees) from a diurnal data set recorded by the airborne imaging spectrometer HyPlant. This unique data set, for the first time, allowed a joint analysis of spatial and temporal dynamics of structural effects and thus the downscaling of far-red SIF from canopy (SIF760canopy) to leaf level (SIF760leaf). For a homogeneous crop such as winter wheat, it seems to be sufficient to determine fesc once a day to reliably scale SIF760 from canopy to leaf level. In contrast, for more complex canopies such as fruit trees, calculating fesc for each observation time throughout the day is strongly recommended. The compensation for structural effects, in combination with normalizing SIF760 to remove the effect of incoming radiation, further allowed the estimation of SIF emission efficiency (εSIF) at leaf level, a parameter directly related to the diurnal variations of plant photosynthetic efficiency.
•The far-red SIF (SIF760) escape fraction (fesc) strongly depends on the crop type•Crops with complex canopy geometries show more spatio-temporal variability in fesc•Detection of diurnal variations in plant physiology from airborne SIF760 maps</description><subject>Airborne sensing</subject><subject>Canopies</subject><subject>Chlorophyll</subject><subject>Crops</subject><subject>Data acquisition</subject><subject>Datasets</subject><subject>Diurnal course</subject><subject>Diurnal variations</subject><subject>Dynamic structural analysis</subject><subject>FCVI</subject><subject>Fluorescence</subject><subject>Fluorescence correction vegetation index</subject><subject>Fluorescence escape fraction</subject><subject>Fruit trees</subject><subject>Fruits</subject><subject>Herbivores</subject><subject>HyPlant</subject><subject>Image acquisition</subject><subject>Imaging spectrometers</subject><subject>Leaves</subject><subject>Mathematical analysis</subject><subject>Normalizing</subject><subject>Photosynthesis</subject><subject>Photosynthetically active radiation</subject><subject>Physiological effects</subject><subject>Primary production</subject><subject>Radiation</subject><subject>Remote sensing</subject><subject>Scattering</subject><subject>SIF</subject><subject>Solar-induced chlorophyll fluorescence</subject><subject>Spatial analysis</subject><subject>Sugar beets</subject><subject>Trees</subject><subject>Triticum aestivum</subject><subject>Vegetation</subject><subject>Vegetation index</subject><subject>Wheat</subject><subject>Winter wheat</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9UcuOFCEUJUbjtKMf4MaQuK4WiqqCiomJGR9jMokudE0ouHTToaEHqJ70p_l3UvY40Y0bHuE8Lucg9JKSNSV0eLNbpwzrlrR0TWk7kPERWlHBx4Zw0j1GK0JY13Rtzy_Qs5x3hNBecPoUXbBuIO3Q9yv080O8C1kr78IGR4utSk0Cg3P09eSCmXW96a2PKR62J--x9XNMkDUEDQvDOGshQShYV0jGNsU91irEwwmXiD0oW5cjeDznxURVxpyC8tioonCGgpW-nd3iOlXKFrByaYopAHZ7tVk4-QC6VF0okPD16ZtXoTxHT6zyGV7c75fox6eP36-um5uvn79cvb9pdMfH0kx25GNv-nYCQTURwAYiBs2GkU2MwdgyCoZxoQjT3SgYAaZUOxnFmK5cxi7Ru7PuYZ72YOq_S1JeHlIdLp1kVE7--xLcVm7iUYqu4z0fq8Dre4EUb2fIRe7i7wCybHtBCO8ZExVFz6iaYs4J7IMDJXJpW-5kbVsubctz25Xz6u_RHhh_6q2At2cA1ICODpLM2i3FmRq3LtJE9x_5X09KwAw</recordid><startdate>202110</startdate><enddate>202110</enddate><creator>Siegmann, Bastian</creator><creator>Cendrero-Mateo, Maria Pilar</creator><creator>Cogliati, Sergio</creator><creator>Damm, Alexander</creator><creator>Gamon, John</creator><creator>Herrera, David</creator><creator>Jedmowski, Christoph</creator><creator>Junker-Frohn, Laura Verena</creator><creator>Kraska, Thorsten</creator><creator>Muller, Onno</creator><creator>Rademske, Patrick</creator><creator>van der Tol, Christiaan</creator><creator>Quiros-Vargas, Juan</creator><creator>Yang, Peiqi</creator><creator>Rascher, Uwe</creator><general>Elsevier Inc</general><general>Elsevier BV</general><general>American Elsevier Pub. Co</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>202110</creationdate><title>Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant</title><author>Siegmann, Bastian ; Cendrero-Mateo, Maria Pilar ; Cogliati, Sergio ; Damm, Alexander ; Gamon, John ; Herrera, David ; Jedmowski, Christoph ; Junker-Frohn, Laura Verena ; Kraska, Thorsten ; Muller, Onno ; Rademske, Patrick ; van der Tol, Christiaan ; Quiros-Vargas, Juan ; Yang, Peiqi ; Rascher, Uwe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c479t-bf9795d52be81c08e36086c3693b33e9231ed378a03c49830e3aa2bda33cbf933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Airborne sensing</topic><topic>Canopies</topic><topic>Chlorophyll</topic><topic>Crops</topic><topic>Data acquisition</topic><topic>Datasets</topic><topic>Diurnal course</topic><topic>Diurnal variations</topic><topic>Dynamic structural analysis</topic><topic>FCVI</topic><topic>Fluorescence</topic><topic>Fluorescence correction vegetation index</topic><topic>Fluorescence escape fraction</topic><topic>Fruit trees</topic><topic>Fruits</topic><topic>Herbivores</topic><topic>HyPlant</topic><topic>Image acquisition</topic><topic>Imaging spectrometers</topic><topic>Leaves</topic><topic>Mathematical analysis</topic><topic>Normalizing</topic><topic>Photosynthesis</topic><topic>Photosynthetically active radiation</topic><topic>Physiological effects</topic><topic>Primary production</topic><topic>Radiation</topic><topic>Remote sensing</topic><topic>Scattering</topic><topic>SIF</topic><topic>Solar-induced chlorophyll fluorescence</topic><topic>Spatial analysis</topic><topic>Sugar beets</topic><topic>Trees</topic><topic>Triticum aestivum</topic><topic>Vegetation</topic><topic>Vegetation index</topic><topic>Wheat</topic><topic>Winter wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Siegmann, Bastian</creatorcontrib><creatorcontrib>Cendrero-Mateo, Maria Pilar</creatorcontrib><creatorcontrib>Cogliati, Sergio</creatorcontrib><creatorcontrib>Damm, Alexander</creatorcontrib><creatorcontrib>Gamon, John</creatorcontrib><creatorcontrib>Herrera, David</creatorcontrib><creatorcontrib>Jedmowski, Christoph</creatorcontrib><creatorcontrib>Junker-Frohn, Laura Verena</creatorcontrib><creatorcontrib>Kraska, Thorsten</creatorcontrib><creatorcontrib>Muller, Onno</creatorcontrib><creatorcontrib>Rademske, Patrick</creatorcontrib><creatorcontrib>van der Tol, Christiaan</creatorcontrib><creatorcontrib>Quiros-Vargas, Juan</creatorcontrib><creatorcontrib>Yang, Peiqi</creatorcontrib><creatorcontrib>Rascher, Uwe</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - 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SIF is the most direct measure of photosynthesis and is therefore considered important to advance capacity for the monitoring of gross primary production (GPP) while it has also been suggested that its yield facilitates the early detection of vegetation stress. However, due to the influence of different confounding effects, the apparent SIF signal measured at canopy level differs from the fluorescence emitted at leaf level, which makes its physiological interpretation challenging. One of these effects is the scattering of SIF emitted from leaves on its way through the canopy. The escape fraction (fesc) describes the scattering of SIF within the canopy and corresponds to the ratio of apparent SIF at canopy level to SIF at leaf level. In the present study, the fluorescence correction vegetation index (FCVI) was used to determine fesc of far-red SIF for three structurally different crops (sugar beet, winter wheat, and fruit trees) from a diurnal data set recorded by the airborne imaging spectrometer HyPlant. This unique data set, for the first time, allowed a joint analysis of spatial and temporal dynamics of structural effects and thus the downscaling of far-red SIF from canopy (SIF760canopy) to leaf level (SIF760leaf). For a homogeneous crop such as winter wheat, it seems to be sufficient to determine fesc once a day to reliably scale SIF760 from canopy to leaf level. In contrast, for more complex canopies such as fruit trees, calculating fesc for each observation time throughout the day is strongly recommended. The compensation for structural effects, in combination with normalizing SIF760 to remove the effect of incoming radiation, further allowed the estimation of SIF emission efficiency (εSIF) at leaf level, a parameter directly related to the diurnal variations of plant photosynthetic efficiency.
•The far-red SIF (SIF760) escape fraction (fesc) strongly depends on the crop type•Crops with complex canopy geometries show more spatio-temporal variability in fesc•Detection of diurnal variations in plant physiology from airborne SIF760 maps</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34602655</pmid><doi>10.1016/j.rse.2021.112609</doi><oa>free_for_read</oa></addata></record> |
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subjects | Airborne sensing Canopies Chlorophyll Crops Data acquisition Datasets Diurnal course Diurnal variations Dynamic structural analysis FCVI Fluorescence Fluorescence correction vegetation index Fluorescence escape fraction Fruit trees Fruits Herbivores HyPlant Image acquisition Imaging spectrometers Leaves Mathematical analysis Normalizing Photosynthesis Photosynthetically active radiation Physiological effects Primary production Radiation Remote sensing Scattering SIF Solar-induced chlorophyll fluorescence Spatial analysis Sugar beets Trees Triticum aestivum Vegetation Vegetation index Wheat Winter wheat |
title | Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant |
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