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dc.contributor.author | Cendrero-Mateo, Maria Pilar | es_ES |
dc.contributor.author | Wieneke, Sebastian | es_ES |
dc.contributor.author | Damm, Alexander | es_ES |
dc.contributor.author | Alonso, Luis | es_ES |
dc.contributor.author | Pinto, Francisco | es_ES |
dc.contributor.author | Moreno, Jose | es_ES |
dc.contributor.author | Guanter-Palomar, Luis María | es_ES |
dc.contributor.author | Celesti, Marco | es_ES |
dc.contributor.author | Rossini, Micol | es_ES |
dc.contributor.author | Sabater, Neus | es_ES |
dc.contributor.author | Cogliatti, Sergio | es_ES |
dc.contributor.author | Julitta, Tommaso | es_ES |
dc.contributor.author | Rascher, Uwe | es_ES |
dc.contributor.author | Goulas, Yves | es_ES |
dc.contributor.author | Aasen, Helge | es_ES |
dc.contributor.author | Pacheco-Salvador, Javier | es_ES |
dc.contributor.author | MacArthur, Alasdair | es_ES |
dc.date.accessioned | 2023-04-26T18:01:11Z | |
dc.date.available | 2023-04-26T18:01:11Z | |
dc.date.issued | 2019-04-02 | es_ES |
dc.identifier.issn | 2072-4292 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/192976 | |
dc.description.abstract | [EN] The interest of the scientific community on the remote observation of sun-induced chlorophyll fluorescence (SIF) has increased in the recent years. In this context, hyperspectral ground measurements play a crucial role in the calibration and validation of future satellite missions. For this reason, the European cooperation in science and technology (COST) Action ES1309 OPTIMISE has compiled three papers on instrument characterization, measurement setups and protocols, and retrieval methods (current paper). This study is divided in two sections; first, we evaluated the uncertainties in SIF retrieval methods (e.g., Fraunhofer line depth (FLD) approaches and spectral fitting method (SFM)) for a combination of off-the-shelf commercial spectrometers. Secondly, we evaluated how an erroneous implementation of the retrieval methods increases the uncertainty in the estimated SIF values. Results show that the SFM approach applied to high-resolution spectra provided the most reliable SIF retrieval with a relative error (RE) 6% and <5% for F-687 and F-760, respectively. Furthermore, although the SFM was the least affected by an inaccurate definition of the absorption spectral window (RE = 5%) and/or interpolation strategy (RE = 15-30%), we observed a sensitivity of the SIF retrieval for the simulated training data underlying the SFM model implementation. | es_ES |
dc.description.sponsorship | This article is based upon work from COST Action ES1309 OPTIMISE, supported by COST (European Cooperation in Science and Technology; www.cost.eu).Cendrero-Mateo M.P. and Alonso L. are currently funded by AVANFLEX project (Advanced Products for the FLEX mission), no ESP2016-79503-C2-1-P, Ministry of Economy and Competitiveness, Spain. Wieneke S. is currently funded by the individual fellowship of the European Union's H2020 Marie Sklodowska-Curie actions under the grant agreement ReSPEc no [795299]. Goulas Y. is currently funded by the ECOFLUO project (In-situ Remote Sensing of Chlorophyll Fluorescence to Monitor Carbon Dynamics in Ecosystems in support of the FLEX mission), no 4500058116 and 4500058229, Centre National d'Etudes Spatiales (CNES), France. Mac Arthur, A. was funded by the UK's NERC/NCEO Field Spectroscopy Facility, at the University of Edinburgh. Pacheco-Labrador, J. was supported by the EnMAP project MoReDEHESHyReS "Modelling Responses of Dehesas with Hyperspectral Remote Sensing" (Contract No. 50EE1621, German Aerospace Center (DLR) and the German Federal Ministry of Economic Affairs and Energy) and the Alexander von Humboldt Foundation via Max-Planck Prize to Markus Reichstein. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Remote Sensing | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Sun-induced chlorophyll fluorescence | es_ES |
dc.subject | Ground spectrometers | es_ES |
dc.subject | Retrieval methods | es_ES |
dc.subject.classification | FISICA APLICADA | es_ES |
dc.title | Sun-induced chlorophyll fluorescence III: Benchmarking retrieval methods and sensor characteristics for proximal sensing | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/rs11080962 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/795299/EU | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//ESP2016-79503-C2-1-P/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/COST//ES1309/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CNES//4500058229/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CNES//4500058116/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/DLR//50EE1621/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació | es_ES |
dc.description.bibliographicCitation | Cendrero-Mateo, MP.; Wieneke, S.; Damm, A.; Alonso, L.; Pinto, F.; Moreno, J.; Guanter-Palomar, LM.... (2019). Sun-induced chlorophyll fluorescence III: Benchmarking retrieval methods and sensor characteristics for proximal sensing. Remote Sensing. 11(8):1-28. https://doi.org/10.3390/rs11080962 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/rs11080962 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 28 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 11 | es_ES |
dc.description.issue | 8 | es_ES |
dc.relation.pasarela | S\405055 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Gobierno de España | es_ES |
dc.contributor.funder | Alexander von Humboldt Foundation | es_ES |
dc.contributor.funder | Deutsches Zentrum für Luft- und Raumfahrt | es_ES |
dc.contributor.funder | Centre National d'Études Spatiales, Francia | es_ES |
dc.contributor.funder | European Cooperation in Science and Technology | es_ES |
dc.contributor.funder | Natural Environment Research Council, Reino Unido | es_ES |