Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data

Land surface phenology (LSP), the study of the timing of recurring cycles of changes in the land surface using time-series of satellite sensor-derived vegetation indices, is a valuable tool for monitoring vegetation at global and continental scales. Characterisation of LSP and its spatial variation...

Descripción completa

Detalles Bibliográficos
Autores: Rodríguez Galiano, Víctor Francisco, Dash, Jadunandan, Atkinson, Peter
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/74244
Acceso en línea:https://hdl.handle.net/11441/74244
https://doi.org/10.3390/rs70709390
Access Level:acceso abierto
Palabra clave:Land surface phenology
MTCI
Biogeographical regions
Land covers
Spring
Autumn
id ES_ca3b0ea3d7f0eadada76fa5178d748e8
oai_identifier_str oai:idus.us.es:11441/74244
network_acronym_str ES
network_name_str España
repository_id_str
spelling Characterising the Land Surface Phenology of Europe Using Decadal MERIS DataRodríguez Galiano, Víctor FranciscoDash, JadunandanAtkinson, PeterLand surface phenologyMTCIBiogeographical regionsLand coversSpringAutumnLand surface phenology (LSP), the study of the timing of recurring cycles of changes in the land surface using time-series of satellite sensor-derived vegetation indices, is a valuable tool for monitoring vegetation at global and continental scales. Characterisation of LSP and its spatial variation is required to reveal and predict ongoing changes in Earth system dynamics. This study presents and analyses the LSP of the pan-European continent for the last decade, considering three phenological metrics: onset of greenness (OG), end of senescence (EOS), and length of season (LS). The whole time-series of Multi-temporal Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) data at 1 km spatial resolution was used to estimate the phenological metrics. Results show a progressive pattern in phenophases from low to high latitudes. OG dates are distributed widely from the end of December to the end of May. EOS dates range from the end of May to the end of January and the spatial distribution is generally the inverse of that of the OG. Shorter growing seasons (approximately three months) are associated with rainfed croplands in Western Europe, and forests in boreal and mountainous areas. Maximum LS values appear in the Atlantic basin associated with grasslands. The LSP maps presented in this study are supported by the findings of a previous study where OG and EOS estimates were compared to those of the pan-European phenological network at certain locations corresponding to numerous observations of deciduous tree plant species. Moreover, the spatio-temporal pattern of the OG and EOS produced close agreement with the dates of deciduous tree leaf unfolding and autumnal colouring, respectively (pseudo R-squared equal to 0.70 and 0.71 and root mean square error of six days (over 365 days)).MDPIGeografía Física y Análisis Geográfico Regional2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/74244https://doi.org/10.3390/rs70709390reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésRemore Sens, 7, 9390-9409.http://www.mdpi.com/2072-4292/7/7/9390info:eu-repo/semantics/openAccessoai:idus.us.es:11441/742442026-06-17T12:51:07Z
dc.title.none.fl_str_mv Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
title Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
spellingShingle Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
Rodríguez Galiano, Víctor Francisco
Land surface phenology
MTCI
Biogeographical regions
Land covers
Spring
Autumn
title_short Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
title_full Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
title_fullStr Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
title_full_unstemmed Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
title_sort Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
dc.creator.none.fl_str_mv Rodríguez Galiano, Víctor Francisco
Dash, Jadunandan
Atkinson, Peter
author Rodríguez Galiano, Víctor Francisco
author_facet Rodríguez Galiano, Víctor Francisco
Dash, Jadunandan
Atkinson, Peter
author_role author
author2 Dash, Jadunandan
Atkinson, Peter
author2_role author
author
dc.contributor.none.fl_str_mv Geografía Física y Análisis Geográfico Regional
dc.subject.none.fl_str_mv Land surface phenology
MTCI
Biogeographical regions
Land covers
Spring
Autumn
topic Land surface phenology
MTCI
Biogeographical regions
Land covers
Spring
Autumn
description Land surface phenology (LSP), the study of the timing of recurring cycles of changes in the land surface using time-series of satellite sensor-derived vegetation indices, is a valuable tool for monitoring vegetation at global and continental scales. Characterisation of LSP and its spatial variation is required to reveal and predict ongoing changes in Earth system dynamics. This study presents and analyses the LSP of the pan-European continent for the last decade, considering three phenological metrics: onset of greenness (OG), end of senescence (EOS), and length of season (LS). The whole time-series of Multi-temporal Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) data at 1 km spatial resolution was used to estimate the phenological metrics. Results show a progressive pattern in phenophases from low to high latitudes. OG dates are distributed widely from the end of December to the end of May. EOS dates range from the end of May to the end of January and the spatial distribution is generally the inverse of that of the OG. Shorter growing seasons (approximately three months) are associated with rainfed croplands in Western Europe, and forests in boreal and mountainous areas. Maximum LS values appear in the Atlantic basin associated with grasslands. The LSP maps presented in this study are supported by the findings of a previous study where OG and EOS estimates were compared to those of the pan-European phenological network at certain locations corresponding to numerous observations of deciduous tree plant species. Moreover, the spatio-temporal pattern of the OG and EOS produced close agreement with the dates of deciduous tree leaf unfolding and autumnal colouring, respectively (pseudo R-squared equal to 0.70 and 0.71 and root mean square error of six days (over 365 days)).
publishDate 2015
dc.date.none.fl_str_mv 2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/74244
https://doi.org/10.3390/rs70709390
url https://hdl.handle.net/11441/74244
https://doi.org/10.3390/rs70709390
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Remore Sens, 7, 9390-9409.
http://www.mdpi.com/2072-4292/7/7/9390
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419461582258176
score 15,301603

Similares en LA Referencia