Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art
Chlorophyll fluorescence (ChlF) information offers a deep insight into the plant physiological status by reason of the close relationship it has with the photosynthetic activity. The unmanned aerial systems (UAS)-based assessment of solar induced ChlF (SIF) using non-imaging spectrometers and radian...
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Format: | Article |
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MDPI AG
2020-05-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/12/10/1624 |
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doaj-dee39490cfd64327a94ee503b6db749e |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Juan Quirós Vargas Juliane Bendig Alasdair Mac Arthur Andreas Burkart Tommaso Julitta Kadmiel Maseyk Rick Thomas Bastian Siegmann Micol Rossini Marco Celesti Dirk Schüttemeyer Thorsten Kraska Onno Muller Uwe Rascher |
spellingShingle |
Juan Quirós Vargas Juliane Bendig Alasdair Mac Arthur Andreas Burkart Tommaso Julitta Kadmiel Maseyk Rick Thomas Bastian Siegmann Micol Rossini Marco Celesti Dirk Schüttemeyer Thorsten Kraska Onno Muller Uwe Rascher Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art Remote Sensing hyperspectral remote sensing light weight spectroradiometer telluric bands ESA-FLEX VNIR SIF |
author_facet |
Juan Quirós Vargas Juliane Bendig Alasdair Mac Arthur Andreas Burkart Tommaso Julitta Kadmiel Maseyk Rick Thomas Bastian Siegmann Micol Rossini Marco Celesti Dirk Schüttemeyer Thorsten Kraska Onno Muller Uwe Rascher |
author_sort |
Juan Quirós Vargas |
title |
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art |
title_short |
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art |
title_full |
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art |
title_fullStr |
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art |
title_full_unstemmed |
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art |
title_sort |
unmanned aerial systems (uas)-based methods for solar induced chlorophyll fluorescence (sif) retrieval with non-imaging spectrometers: state of the art |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-05-01 |
description |
Chlorophyll fluorescence (ChlF) information offers a deep insight into the plant physiological status by reason of the close relationship it has with the photosynthetic activity. The unmanned aerial systems (UAS)-based assessment of solar induced ChlF (SIF) using non-imaging spectrometers and radiance-based retrieval methods, has the potential to provide spatio-temporal photosynthetic performance information at field scale. The objective of this manuscript is to report the main advances in the development of UAS-based methods for SIF retrieval with non-imaging spectrometers through the latest scientific contributions, some of which are being developed within the frame of the Training on Remote Sensing for Ecosystem Modelling (TRuStEE) program. Investigations from the Universities of Edinburgh (School of Geosciences) and Tasmania (School of Technology, Environments and Design) are first presented, both sharing the principle of the spectroradiometer optical path bifurcation throughout, the so called ‘Piccolo-Doppio’ and ‘AirSIF’ systems, respectively. Furthermore, JB Hyperspectral Devices’ ongoing investigations towards the closest possible characterization of the atmospheric interference suffered by orbital platforms are outlined. The latest approach focuses on the observation of one single ground point across a multiple-kilometer atmosphere vertical column using the high altitude UAS named as AirFloX, mounted on a specifically designed and manufactured fixed wing platform: ‘FloXPlane’. We present technical details and preliminary results obtained from each instrument, a summary of their main characteristics, and finally the remaining challenges and open research questions are addressed. On the basis of the presented findings, the consensus is that SIF can be retrieved from low altitude spectroscopy. However, the UAS-based methods for SIF retrieval still present uncertainties associated with the current sensor characteristics and the spatio-temporal mismatching between aerial and ground measurements, which complicate robust validations. Complementary studies regarding the standardization of calibration methods and the characterization of spectroradiometers and data processing workflows are also required. Moreover, other open research questions such as those related to the implementation of atmospheric correction, bidirectional reflectance distribution function (BRDF) correction, and accurate surface elevation models remain to be addressed. |
topic |
hyperspectral remote sensing light weight spectroradiometer telluric bands ESA-FLEX VNIR SIF |
url |
https://www.mdpi.com/2072-4292/12/10/1624 |
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doaj-dee39490cfd64327a94ee503b6db749e2020-11-25T02:58:09ZengMDPI AGRemote Sensing2072-42922020-05-01121624162410.3390/rs12101624Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the ArtJuan Quirós Vargas0Juliane Bendig1Alasdair Mac Arthur2Andreas Burkart3Tommaso Julitta4Kadmiel Maseyk5Rick Thomas6Bastian Siegmann7Micol Rossini8Marco Celesti9Dirk Schüttemeyer10Thorsten Kraska11Onno Muller12Uwe Rascher13Institute of Biogeosciences, IBG2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, GermanySchool of Technology, Environments and Design, University of Tasmania, Hobart, TAS 7001, AustraliaSchool of Geosciences, University of Edinburgh, Edinburgh EH9 3FF, UKJB Hyperspectral Devices UG, Am Botanischen Garten 33, Düsseldorf 40225, GermanyJB Hyperspectral Devices UG, Am Botanischen Garten 33, Düsseldorf 40225, GermanySchool of Environment, Earth & Ecosystem Sciences, The Open University, Milton Keynes MK7 6AA, UKBirmingham Institute of Forest Research (BIFoR), University of Birmingham, Birmingham B15 2TT, UKInstitute of Biogeosciences, IBG2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, GermanyRemote Sensing of Environmental Dynamics Laboratory, Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Piazza della Scienza1, 20126 Milano, ItalyRemote Sensing of Environmental Dynamics Laboratory, Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Piazza della Scienza1, 20126 Milano, ItalyESA-ESTEC, 2201 AZ Noordwijk, The NetherlandsField Lab Campus Klein-Altendorf, University of Bonn, 53359 Rheinbach, GermanyInstitute of Biogeosciences, IBG2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, GermanyInstitute of Biogeosciences, IBG2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, GermanyChlorophyll fluorescence (ChlF) information offers a deep insight into the plant physiological status by reason of the close relationship it has with the photosynthetic activity. The unmanned aerial systems (UAS)-based assessment of solar induced ChlF (SIF) using non-imaging spectrometers and radiance-based retrieval methods, has the potential to provide spatio-temporal photosynthetic performance information at field scale. The objective of this manuscript is to report the main advances in the development of UAS-based methods for SIF retrieval with non-imaging spectrometers through the latest scientific contributions, some of which are being developed within the frame of the Training on Remote Sensing for Ecosystem Modelling (TRuStEE) program. Investigations from the Universities of Edinburgh (School of Geosciences) and Tasmania (School of Technology, Environments and Design) are first presented, both sharing the principle of the spectroradiometer optical path bifurcation throughout, the so called ‘Piccolo-Doppio’ and ‘AirSIF’ systems, respectively. Furthermore, JB Hyperspectral Devices’ ongoing investigations towards the closest possible characterization of the atmospheric interference suffered by orbital platforms are outlined. The latest approach focuses on the observation of one single ground point across a multiple-kilometer atmosphere vertical column using the high altitude UAS named as AirFloX, mounted on a specifically designed and manufactured fixed wing platform: ‘FloXPlane’. We present technical details and preliminary results obtained from each instrument, a summary of their main characteristics, and finally the remaining challenges and open research questions are addressed. On the basis of the presented findings, the consensus is that SIF can be retrieved from low altitude spectroscopy. However, the UAS-based methods for SIF retrieval still present uncertainties associated with the current sensor characteristics and the spatio-temporal mismatching between aerial and ground measurements, which complicate robust validations. Complementary studies regarding the standardization of calibration methods and the characterization of spectroradiometers and data processing workflows are also required. Moreover, other open research questions such as those related to the implementation of atmospheric correction, bidirectional reflectance distribution function (BRDF) correction, and accurate surface elevation models remain to be addressed.https://www.mdpi.com/2072-4292/12/10/1624hyperspectral remote sensinglight weight spectroradiometertelluric bandsESA-FLEXVNIRSIF |