Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data

High-quality retrieval of land surface phenology (LSP) is increasingly important for understanding the effects of climate change on ecosystem function and biosphere-atmosphere interactions. We analyzed four state-of-the-art phenology methods: threshold, logistic-function, moving-average and first de...

Descripción completa

Detalles Bibliográficos
Autores: Bórnez Mejías, Kevin|||0000-0002-4054-3304, Richardson, Andrew D.|||0000-0002-0148-6714, Verger, Aleixandre|||0000-0001-9374-1745, Descals, Adrià|||0000-0003-1644-3036, Peñuelas, Josep|||0000-0002-7215-0150
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:233666
Acceso en línea:https://ddd.uab.cat/record/233666
https://dx.doi.org/urn:doi:10.3390/rs12183077
Access Level:acceso abierto
Palabra clave:Land-surface phenology
SPOT-VEGETATION
PROBA-V
Leaf area index
PhenoCam
FLUXNET
id ES_3c95bbfff76e78446d71dbeebcdb1f27
oai_identifier_str oai:ddd.uab.cat:233666
network_acronym_str ES
network_name_str España
repository_id_str
spelling Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance DataBórnez Mejías, Kevin|||0000-0002-4054-3304Richardson, Andrew D.|||0000-0002-0148-6714Verger, Aleixandre|||0000-0001-9374-1745Descals, Adrià|||0000-0003-1644-3036Peñuelas, Josep|||0000-0002-7215-0150Land-surface phenologySPOT-VEGETATIONPROBA-VLeaf area indexPhenoCamFLUXNETHigh-quality retrieval of land surface phenology (LSP) is increasingly important for understanding the effects of climate change on ecosystem function and biosphere-atmosphere interactions. We analyzed four state-of-the-art phenology methods: threshold, logistic-function, moving-average and first derivative based approaches, and retrieved LSP in the North Hemisphere for the period 1999-2017 from Copernicus Global Land Service (CGLS) SPOT-VEGETATION and PROBA-V leaf area index (LAI) 1 km V2.0 time series. We validated the LSP estimates with near-surface PhenoCam and eddy covariance FLUXNET data over 80 sites of deciduous forests. Results showed a strong correlation (R2. 22020-01-0120202020-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/233666https://dx.doi.org/urn:doi:10.3390/rs12183077reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2019-110521GB-I00Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1005European Commission https://doi.org/10.13039/501100000780 610028open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2336662026-06-06T12:50:31Z
dc.title.none.fl_str_mv Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
title Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
spellingShingle Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
Bórnez Mejías, Kevin|||0000-0002-4054-3304
Land-surface phenology
SPOT-VEGETATION
PROBA-V
Leaf area index
PhenoCam
FLUXNET
title_short Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
title_full Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
title_fullStr Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
title_full_unstemmed Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
title_sort Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data
dc.creator.none.fl_str_mv Bórnez Mejías, Kevin|||0000-0002-4054-3304
Richardson, Andrew D.|||0000-0002-0148-6714
Verger, Aleixandre|||0000-0001-9374-1745
Descals, Adrià|||0000-0003-1644-3036
Peñuelas, Josep|||0000-0002-7215-0150
author Bórnez Mejías, Kevin|||0000-0002-4054-3304
author_facet Bórnez Mejías, Kevin|||0000-0002-4054-3304
Richardson, Andrew D.|||0000-0002-0148-6714
Verger, Aleixandre|||0000-0001-9374-1745
Descals, Adrià|||0000-0003-1644-3036
Peñuelas, Josep|||0000-0002-7215-0150
author_role author
author2 Richardson, Andrew D.|||0000-0002-0148-6714
Verger, Aleixandre|||0000-0001-9374-1745
Descals, Adrià|||0000-0003-1644-3036
Peñuelas, Josep|||0000-0002-7215-0150
author2_role author
author
author
author
dc.subject.none.fl_str_mv Land-surface phenology
SPOT-VEGETATION
PROBA-V
Leaf area index
PhenoCam
FLUXNET
topic Land-surface phenology
SPOT-VEGETATION
PROBA-V
Leaf area index
PhenoCam
FLUXNET
description High-quality retrieval of land surface phenology (LSP) is increasingly important for understanding the effects of climate change on ecosystem function and biosphere-atmosphere interactions. We analyzed four state-of-the-art phenology methods: threshold, logistic-function, moving-average and first derivative based approaches, and retrieved LSP in the North Hemisphere for the period 1999-2017 from Copernicus Global Land Service (CGLS) SPOT-VEGETATION and PROBA-V leaf area index (LAI) 1 km V2.0 time series. We validated the LSP estimates with near-surface PhenoCam and eddy covariance FLUXNET data over 80 sites of deciduous forests. Results showed a strong correlation (R2.
publishDate 2020
dc.date.none.fl_str_mv 2
2020-01-01
2020
2020-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/233666
https://dx.doi.org/urn:doi:10.3390/rs12183077
url https://ddd.uab.cat/record/233666
https://dx.doi.org/urn:doi:10.3390/rs12183077
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2019-110521GB-I00
Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1005
European Commission https://doi.org/10.13039/501100000780 610028
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406384906305536
score 15,301603

Similares en LA Referencia