Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers
Remote Sensing of Sun-Induced Chlorophyll Fluorescence (SIF) is a research field of growing interest because it offers the potential to quantify actual photosynthesis and to monitor plant status. New satellite missions from the European Space Agency, such as the Earth Explorer 8 FLuorescence EXplore...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-02-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/8/2/122 |
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| author | Tommaso Julitta Lawrence A. Corp Micol Rossini Andreas Burkart Sergio Cogliati Neville Davies Milton Hom Alasdair Mac Arthur Elizabeth M. Middleton Uwe Rascher Anke Schickling Roberto Colombo |
| author_facet | Tommaso Julitta Lawrence A. Corp Micol Rossini Andreas Burkart Sergio Cogliati Neville Davies Milton Hom Alasdair Mac Arthur Elizabeth M. Middleton Uwe Rascher Anke Schickling Roberto Colombo |
| author_sort | Tommaso Julitta |
| collection | DOAJ |
| description | Remote Sensing of Sun-Induced Chlorophyll Fluorescence (SIF) is a research field of growing interest because it offers the potential to quantify actual photosynthesis and to monitor plant status. New satellite missions from the European Space Agency, such as the Earth Explorer 8 FLuorescence EXplorer (FLEX) mission—scheduled to launch in 2022 and aiming at SIF mapping—and from the National Aeronautics and Space Administration (NASA) such as the Orbiting Carbon Observatory-2 (OCO-2) sampling mission launched in July 2014, provide the capability to estimate SIF from space. The detection of the SIF signal from airborne and satellite platform is difficult and reliable ground level data are needed for calibration/validation. Several commercially available spectroradiometers are currently used to retrieve SIF in the field. This study presents a comparison exercise for evaluating the capability of four spectroradiometers to retrieve SIF. The results show that an accurate far-red SIF estimation can be achieved using spectroradiometers with an ultrafine resolution (less than 1 nm), while the red SIF estimation requires even higher spectral resolution (less than 0.5 nm). Moreover, it is shown that the Signal to Noise Ratio (SNR) plays a significant role in the precision of the far-red SIF measurements. |
| first_indexed | 2024-12-20T21:49:03Z |
| format | Article |
| id | doaj.art-81a6b6878d6f4c8fbaa6e00decd2afd9 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T21:49:03Z |
| publishDate | 2016-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-81a6b6878d6f4c8fbaa6e00decd2afd92022-12-21T19:25:36ZengMDPI AGRemote Sensing2072-42922016-02-018212210.3390/rs8020122rs8020122Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field SpectroradiometersTommaso Julitta0Lawrence A. Corp1Micol Rossini2Andreas Burkart3Sergio Cogliati4Neville Davies5Milton Hom6Alasdair Mac Arthur7Elizabeth M. Middleton8Uwe Rascher9Anke Schickling10Roberto Colombo11Remote Sensing of Environmental Dynamics Lab., DISAT, Università di Milano-Bicocca, P.zza della Scienza 1, 20126 Milan, ItalyScience Systems and Applications Inc., Lanham, MD 20706, USARemote Sensing of Environmental Dynamics Lab., DISAT, Università di Milano-Bicocca, P.zza della Scienza 1, 20126 Milan, ItalyInstitute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, GermanyRemote Sensing of Environmental Dynamics Lab., DISAT, Università di Milano-Bicocca, P.zza della Scienza 1, 20126 Milan, ItalyOcean Optics, Oxford OX4 2JY, UKScience Systems and Applications Inc., Lanham, MD 20706, USANERC Field Spectroscopy Facility, School of Geosciences, University of Edinburgh, Grant Institute, Kings Buildings, West Mains Road, Edinburgh EH9 3FE, UKBiospheric Sciences Laboratory, NASA/Goddard Space Flight Center, Greenbelt, MD 20771, USAInstitute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, GermanyInstitute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, GermanyRemote Sensing of Environmental Dynamics Lab., DISAT, Università di Milano-Bicocca, P.zza della Scienza 1, 20126 Milan, ItalyRemote Sensing of Sun-Induced Chlorophyll Fluorescence (SIF) is a research field of growing interest because it offers the potential to quantify actual photosynthesis and to monitor plant status. New satellite missions from the European Space Agency, such as the Earth Explorer 8 FLuorescence EXplorer (FLEX) mission—scheduled to launch in 2022 and aiming at SIF mapping—and from the National Aeronautics and Space Administration (NASA) such as the Orbiting Carbon Observatory-2 (OCO-2) sampling mission launched in July 2014, provide the capability to estimate SIF from space. The detection of the SIF signal from airborne and satellite platform is difficult and reliable ground level data are needed for calibration/validation. Several commercially available spectroradiometers are currently used to retrieve SIF in the field. This study presents a comparison exercise for evaluating the capability of four spectroradiometers to retrieve SIF. The results show that an accurate far-red SIF estimation can be achieved using spectroradiometers with an ultrafine resolution (less than 1 nm), while the red SIF estimation requires even higher spectral resolution (less than 0.5 nm). Moreover, it is shown that the Signal to Noise Ratio (SNR) plays a significant role in the precision of the far-red SIF measurements.http://www.mdpi.com/2072-4292/8/2/122sun-induced chlorophyll fluorescence (SIF)field spectroscopysensor characteristicsSIF retrieval methodsFraunhofer line depth (FLD)spectral resolutionsignal to noise ratio (SNR)SIF calibration/validation |
| spellingShingle | Tommaso Julitta Lawrence A. Corp Micol Rossini Andreas Burkart Sergio Cogliati Neville Davies Milton Hom Alasdair Mac Arthur Elizabeth M. Middleton Uwe Rascher Anke Schickling Roberto Colombo Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers Remote Sensing sun-induced chlorophyll fluorescence (SIF) field spectroscopy sensor characteristics SIF retrieval methods Fraunhofer line depth (FLD) spectral resolution signal to noise ratio (SNR) SIF calibration/validation |
| title | Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers |
| title_full | Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers |
| title_fullStr | Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers |
| title_full_unstemmed | Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers |
| title_short | Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers |
| title_sort | comparison of sun induced chlorophyll fluorescence estimates obtained from four portable field spectroradiometers |
| topic | sun-induced chlorophyll fluorescence (SIF) field spectroscopy sensor characteristics SIF retrieval methods Fraunhofer line depth (FLD) spectral resolution signal to noise ratio (SNR) SIF calibration/validation |
| url | http://www.mdpi.com/2072-4292/8/2/122 |
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