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The High-Performance Airborne Imaging Spectrometer HyPlant-From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain

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The High-Performance Airborne Imaging Spectrometer HyPlant-From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain

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dc.contributor.author Siegmann, Bastian es_ES
dc.contributor.author Alonso, Luis es_ES
dc.contributor.author Celesti, Marco es_ES
dc.contributor.author Cogliatti, Sergio es_ES
dc.contributor.author Colombo, Roberto es_ES
dc.contributor.author Damm, Alexander es_ES
dc.contributor.author Douglas, Sarah es_ES
dc.contributor.author Guanter-Palomar, Luis María es_ES
dc.contributor.author Hanus, Jan es_ES
dc.contributor.author Kataja, Kari es_ES
dc.contributor.author Kraska, Thorsten es_ES
dc.contributor.author Matveeva, Maria es_ES
dc.contributor.author Moreno, Jose es_ES
dc.contributor.author Muller, Onno es_ES
dc.contributor.author Pikl, Miroslav es_ES
dc.contributor.author Pinto, Francisco es_ES
dc.contributor.author Quirós Vargas, Juan es_ES
dc.contributor.author Redemske, Patrick es_ES
dc.contributor.author Rodriguez-Moreno, Fernando es_ES
dc.contributor.author Sabater, Neus es_ES
dc.contributor.author Schickling, Anke es_ES
dc.contributor.author Schuettemeyer, Dirk es_ES
dc.contributor.author Zemek, Frantisek es_ES
dc.contributor.author Rascher, Uwe es_ES
dc.date.accessioned 2023-04-25T18:01:21Z
dc.date.available 2023-04-25T18:01:21Z
dc.date.issued 2019-12-01 es_ES
dc.identifier.issn 2072-4292 es_ES
dc.identifier.uri http://hdl.handle.net/10251/192948
dc.description.abstract [EN] The HyPlant imaging spectrometer is a high-performance airborne instrument consisting of two sensor modules. The DUAL module records hyperspectral data in the spectral range from 400-2500 nm, which is useful to derive biochemical and structural plant properties. In parallel, the FLUO module acquires data in the red and near infrared range (670-780 nm), with a distinctly higher spectral sampling interval and finer spectral resolution. The technical specifications of HyPlant FLUO allow for the retrieval of sun-induced chlorophyll fluorescence (SIF), a small signal emitted by plants, which is directly linked to their photosynthetic efficiency. The combined use of both HyPlant modules opens up new opportunities in plant science. The processing of HyPlant image data, however, is a rather complex procedure, and, especially for the FLUO module, a precise characterization and calibration of the sensor is of utmost importance. The presented study gives an overview of this unique high-performance imaging spectrometer, introduces an automatized processing chain, and gives an overview of the different processing steps that must be executed to generate the final products, namely top of canopy (TOC) radiance, TOC reflectance, reflectance indices and SIF maps. es_ES
dc.description.sponsorship We gratefully acknowledge the financial support by the European Space Agency (ESA) for airborne data acquisition, development of the HyPlant processing chain and data analysis in the frame of the HyFLEX campaign (ESA contract no. 4000107143/12/NL/FF/If CCN3), the FLEXSense campaign (ESA Contract No. RFP/3-15477/18/NL/NA) and the HYPER project (ESA Contract No. 4000112890/14/NL/FF/gp). The Deutsche Forschungsgemeinschaft (DFG) provided additional financial support by the SFB/TR 32 'Pattern in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation' project D2. Moreover, this work has partially been funded by the German Federal Ministry of Education and Research within the German-Plant-Phenotyping Network (DPPN) (project identification number: 031A053), the European Union in the frame of the INTEREG project 'Sensor Products for Enterprises Creating Technological Opportunities in airborne Remote Sensing' (SPECTORS) (project identification number: 143081) and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement number 721995 in the frame of the 'Training on Remote Sensing for Ecosystem Modelling' (TRuStEE) network. 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 HyPlant es_ES
dc.subject Hyperspectral es_ES
dc.subject Automatized processing chain es_ES
dc.subject Sun-induced chlorophyll fluorescence es_ES
dc.subject SIF es_ES
dc.subject SIF retrieval es_ES
dc.subject Airborne imaging spectrometer es_ES
dc.subject FLuorescence Explorer es_ES
dc.subject FLEX es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title The High-Performance Airborne Imaging Spectrometer HyPlant-From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/rs11232760 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/721995/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC//143081/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/BMBF//031A053/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/DFG//SFB%2FTR 32/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ESA//4000112890%2F14%2FNL%2FFF%2Fgp/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ESA//RFP%2F3-15477%2F18%2FNL%2FNA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ESA//4000107143%2F12%2FNL%2FFF%2FIf CCN3/ 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 Siegmann, B.; Alonso, L.; Celesti, M.; Cogliatti, S.; Colombo, R.; Damm, A.; Douglas, S.... (2019). The High-Performance Airborne Imaging Spectrometer HyPlant-From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain. Remote Sensing. 11(23):1-30. https://doi.org/10.3390/rs11232760 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/rs11232760 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 30 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 23 es_ES
dc.relation.pasarela S\404951 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder European Space Agency es_ES
dc.contributor.funder Deutsche Forschungsgemeinschaft es_ES
dc.contributor.funder Bundesministerium für Bildung und Forschung, Alemania es_ES


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