Show simple item record

Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe

hal.structure.identifierWuhan University [China]
hal.structure.identifierSkane University Hospital [Lund]
dc.contributor.authorTIAN, Feng
hal.structure.identifierDanmarks Tekniske Universitet = Technical University of Denmark [DTU]
dc.contributor.authorCAI, Zhanzhang
hal.structure.identifierSkane University Hospital [Lund]
hal.structure.identifierDanmarks Tekniske Universitet = Technical University of Denmark [DTU]
dc.contributor.authorJIN, Hongxiao
hal.structure.identifierUniversiteit Gent = Ghent University [UGENT]
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorHUFKENS, Koen
hal.structure.identifierCentral Institute for Meteorology and Geodynamics [Vienna] [ZAMG]
dc.contributor.authorSCHEIFINGER, Helfried
hal.structure.identifierSkane University Hospital [Lund]
hal.structure.identifierUniversity of Copenhagen = Københavns Universitet [UCPH]
dc.contributor.authorTAGESSON, Torbern
hal.structure.identifierFlemish Institute for Technological Research [VITO]
dc.contributor.authorSMETS, Bruno
hal.structure.identifierFlemish Institute for Technological Research [VITO]
dc.contributor.authorVAN HOOLST, Roel
hal.structure.identifierFlemish Institute for Technological Research [VITO]
dc.contributor.authorBONTE, Kasper
hal.structure.identifierEuropean Environment Agency [EEA]
dc.contributor.authorIVITS, Eva
hal.structure.identifierUniversity of Copenhagen = Københavns Universitet [UCPH]
dc.contributor.authorTONG, Xiaoye
hal.structure.identifierSkane University Hospital [Lund]
dc.contributor.authorARDÖ, Jonas
hal.structure.identifierSkane University Hospital [Lund]
dc.contributor.authorEKLUNDH, Lars
dc.date.accessioned2024-04-08T11:51:12Z
dc.date.available2024-04-08T11:51:12Z
dc.date.issued2021-04-27
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195421
dc.description.abstractEnVegetation phenology obtained from time series of remote sensing data is relevant for a range of ecological applications. The freely available Sentinel-2 imagery at a 10 m spatial resolution with a similar to 5-day repeat cycle provides an opportunity to map vegetation phenology at an unprecedented fine spatial scale. To facilitate the production of a Europe-wide Copernicus Land Monitoring Sentinel-2 based phenology dataset, we design and evaluate a framework based on a comprehensive set of ground observations, including eddy covariance gross primary production (GPP), PhenoCam green chromatic coordinate (GCC), and phenology phases from the Pan-European Phenological database (PEP725). We test three vegetation indices (VI) - the normalized difference vegetation index (NDVI), the two-band enhanced vegetation index (EVI2), and the plant phenology index (PPI) - regarding their capability to track the seasonal trajectories of GPP and GCC and their performance in reflecting spatial variabilities of the corresponding GPP and GCC phenometrics, i.e., start of season (SOS) and end of season (EOS). We find that for GPP phenology, PPI performs the best, in particular for evergreen coniferous forest areas where the seasonal variations in leaf area are small and snow is prevalent during wintertime. Results are inconclusive for GCC phenology, for which no index is consistently better than the others. When comparing to PEP725 phenology phases, PPI and EVI2 perform better than NDVI regarding the spatial correlation and consistency (i.e., lower standard deviation). We also link VI phenometrics at various amplitude thresholds to the PEP725 phenophases and find that PPI SOS at 25% and PPI EOS at 15% provide the best matches with the ground-observed phenological stages. Finally, we demonstrate that applying bidirectional reflectance distribution function correction to Sentinel-2 reflectance is a step that can be excluded for phenology mapping in Europe.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enSentinel-2
dc.subject.enVegetation phenology
dc.subject.enPlant phenology index (PPI)
dc.subject.enNDVI
dc.subject.enEVI2
dc.subject.enGross primary production (GPP)
dc.subject.enPhenoCam
dc.subject.enPEP725
dc.subject.enEurope
dc.title.enCalibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
dc.typeArticle de revue
dc.identifier.doi10.1016/j.rse.2021.112456
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing of Environment
bordeaux.page1-15
bordeaux.volume260
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03273281
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03273281v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2021-04-27&rft.volume=260&rft.spage=1-15&rft.epage=1-15&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=TIAN,%20Feng&CAI,%20Zhanzhang&JIN,%20Hongxiao&HUFKENS,%20Koen&SCHEIFINGER,%20Helfried&rft.genre=article


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record