Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.

Luo, Yunpeng; El-Madany, Tarek S.; Filippa, Gianluca; Ma, Xuanlong; Ahrens, Bernhard; Carrara, Arnaud; González-Cascón, Rosario; Cremonese, Edoardo; Galvagno, Marta; Hammer, Tiana W.; Pacheco-Labrador, Javier; Martín, M. Pilar; Moreno, Gerardo; Pérez-Priego, Óscar; Reichstein, Markus; Richardson, Andrew D.; Römermann, Christine; Migliavacca, Mirco

Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.

Tree–grass ecosystems are widely distributed. However, their phenology has not yet been fully characterized. The technique of repeated digital photographs for plant phenology monitoring (hereafter referred as PhenoCam) provide opportunities for long-term monitoring of plant phenology, and extracting...

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Autores:	Luo, Yunpeng, El-Madany, Tarek S., Filippa, Gianluca, Ma, Xuanlong, Ahrens, Bernhard, Carrara, Arnaud, González-Cascón, Rosario, Cremonese, Edoardo, Galvagno, Marta, Hammer, Tiana W., Pacheco-Labrador, Javier, Martín, M. Pilar, Moreno, Gerardo, Pérez-Priego, Óscar, Reichstein, Markus, Richardson, Andrew D., Römermann, Christine, Migliavacca, Mirco
Tipo de recurso:	artículo
Estado:	Versión publicada
Fecha de publicación:	2019
País:	España
Institución:	Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:	DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:	oai:digital.csic.es:10261/178962
Acceso en línea:	http://hdl.handle.net/10261/178962
Access Level:	acceso abierto
Palabra clave:	Phenology Tree–grass ecosystem Dehesa PhenoCam Near-infrared-enabled digital repeat photography Phenological transition date (PTD) Growing season length (GSL)

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spelling	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.Luo, YunpengEl-Madany, Tarek S.Filippa, GianlucaMa, XuanlongAhrens, BernhardCarrara, ArnaudGonzález-Cascón, RosarioCremonese, EdoardoGalvagno, MartaHammer, Tiana W.Pacheco-Labrador, JavierMartín, M. PilarMoreno, GerardoPérez-Priego, ÓscarReichstein, MarkusRichardson, Andrew D.Römermann, ChristineMigliavacca, MircoPhenologyTree–grass ecosystemDehesaPhenoCamNear-infrared-enabled digital repeat photographyPhenological transition date (PTD)Growing season length (GSL)Tree–grass ecosystems are widely distributed. However, their phenology has not yet been fully characterized. The technique of repeated digital photographs for plant phenology monitoring (hereafter referred as PhenoCam) provide opportunities for long-term monitoring of plant phenology, and extracting phenological transition dates (PTDs, e.g., start of the growing season). Here, we aim to evaluate the utility of near-infrared-enabled PhenoCam for monitoring the phenology of structure (i.e., greenness) and physiology (i.e., gross primary productivity—GPP) at four tree–grass Mediterranean sites. We computed four vegetation indexes (VIs) from PhenoCams: (1) green chromatic coordinates (GCC), (2) normalized difference vegetation index (CamNDVI), (3) near-infrared reflectance of vegetation index (CamNIRv), and (4) ratio vegetation index (CamRVI). GPP is derived from eddy covariance flux tower measurement. Then, we extracted PTDs and their uncertainty from different VIs and GPP. The consistency between structural (VIs) and physiological (GPP) phenology was then evaluated. CamNIRv is best at representing the PTDs of GPP during the Green-up period, while CamNDVI is best during the Dry-down period. Moreover, CamNIRv outperforms the other VIs in tracking growing season length of GPP. In summary, the results show it is promising to track structural and physiology phenology of seasonally dry Mediterranean ecosystem using near-infrared-enabled PhenoCam. We suggest using multiple VIs to better represent the variation of GPP.Peer reviewedMultidisciplinary Digital Publishing InstituteMartín, M. Pilar [0000-0002-5563-8461]González-Cascón, Rosario [0000-0003-3468-0967]Pacheco-Labrador, Javier [0000-0003-3401-7081]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2019201920192019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/178962reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésLuo, Yunpeng; El-Madany, Tarek S.; Filippa, Gianluca; Ma, Xuanlong; Ahrens, Bernhard; Carrara, Arnaud; Gonzalez-Cascon, Rosario; Cremonese, Edoardo; Galvagno, Marta; Hammer, Tiana W.; Pacheco-Labrador, Javier; Martín, María P. ; Moreno, Gerardo; Pérez-Priego, Óscar ; Reichstein, Markus; Richardson, Andrew D.; Römermann, Christine; Migliavacca, Mirco. Using near-infrared-enabled digital repeat photography to track structural and physiological phenology in mediterranean tree–grass ecosystems. 10.3390/rs10081293. http://hdl.handle.net/10261/169023http://dx.doi.org/10.3390/rs11060726Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1789622026-05-22T06:33:51Z
dc.title.none.fl_str_mv	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.
title	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.
spellingShingle	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293. Luo, Yunpeng Phenology Tree–grass ecosystem Dehesa PhenoCam Near-infrared-enabled digital repeat photography Phenological transition date (PTD) Growing season length (GSL)
title_short	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.
title_full	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.
title_fullStr	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.
title_full_unstemmed	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.
title_sort	Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.
dc.creator.none.fl_str_mv	Luo, Yunpeng El-Madany, Tarek S. Filippa, Gianluca Ma, Xuanlong Ahrens, Bernhard Carrara, Arnaud González-Cascón, Rosario Cremonese, Edoardo Galvagno, Marta Hammer, Tiana W. Pacheco-Labrador, Javier Martín, M. Pilar Moreno, Gerardo Pérez-Priego, Óscar Reichstein, Markus Richardson, Andrew D. Römermann, Christine Migliavacca, Mirco
author	Luo, Yunpeng
author_facet	Luo, Yunpeng El-Madany, Tarek S. Filippa, Gianluca Ma, Xuanlong Ahrens, Bernhard Carrara, Arnaud González-Cascón, Rosario Cremonese, Edoardo Galvagno, Marta Hammer, Tiana W. Pacheco-Labrador, Javier Martín, M. Pilar Moreno, Gerardo Pérez-Priego, Óscar Reichstein, Markus Richardson, Andrew D. Römermann, Christine Migliavacca, Mirco
author_role	author
author2	El-Madany, Tarek S. Filippa, Gianluca Ma, Xuanlong Ahrens, Bernhard Carrara, Arnaud González-Cascón, Rosario Cremonese, Edoardo Galvagno, Marta Hammer, Tiana W. Pacheco-Labrador, Javier Martín, M. Pilar Moreno, Gerardo Pérez-Priego, Óscar Reichstein, Markus Richardson, Andrew D. Römermann, Christine Migliavacca, Mirco
author2_role	author author author author author author author author author author author author author author author author author
dc.contributor.none.fl_str_mv	Martín, M. Pilar [0000-0002-5563-8461] González-Cascón, Rosario [0000-0003-3468-0967] Pacheco-Labrador, Javier [0000-0003-3401-7081] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv	Phenology Tree–grass ecosystem Dehesa PhenoCam Near-infrared-enabled digital repeat photography Phenological transition date (PTD) Growing season length (GSL)
topic	Phenology Tree–grass ecosystem Dehesa PhenoCam Near-infrared-enabled digital repeat photography Phenological transition date (PTD) Growing season length (GSL)
description	Tree–grass ecosystems are widely distributed. However, their phenology has not yet been fully characterized. The technique of repeated digital photographs for plant phenology monitoring (hereafter referred as PhenoCam) provide opportunities for long-term monitoring of plant phenology, and extracting phenological transition dates (PTDs, e.g., start of the growing season). Here, we aim to evaluate the utility of near-infrared-enabled PhenoCam for monitoring the phenology of structure (i.e., greenness) and physiology (i.e., gross primary productivity—GPP) at four tree–grass Mediterranean sites. We computed four vegetation indexes (VIs) from PhenoCams: (1) green chromatic coordinates (GCC), (2) normalized difference vegetation index (CamNDVI), (3) near-infrared reflectance of vegetation index (CamNIRv), and (4) ratio vegetation index (CamRVI). GPP is derived from eddy covariance flux tower measurement. Then, we extracted PTDs and their uncertainty from different VIs and GPP. The consistency between structural (VIs) and physiological (GPP) phenology was then evaluated. CamNIRv is best at representing the PTDs of GPP during the Green-up period, while CamNDVI is best during the Dry-down period. Moreover, CamNIRv outperforms the other VIs in tracking growing season length of GPP. In summary, the results show it is promising to track structural and physiology phenology of seasonally dry Mediterranean ecosystem using near-infrared-enabled PhenoCam. We suggest using multiple VIs to better represent the variation of GPP.
publishDate	2019
dc.date.none.fl_str_mv	2019 2019 2019 2019
dc.type.none.fl_str_mv	info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion
format	article
status_str	publishedVersion
dc.identifier.none.fl_str_mv	http://hdl.handle.net/10261/178962
url	http://hdl.handle.net/10261/178962
dc.language.none.fl_str_mv	Inglés
language_invalid_str_mv	Inglés
dc.relation.none.fl_str_mv	Luo, Yunpeng; El-Madany, Tarek S.; Filippa, Gianluca; Ma, Xuanlong; Ahrens, Bernhard; Carrara, Arnaud; Gonzalez-Cascon, Rosario; Cremonese, Edoardo; Galvagno, Marta; Hammer, Tiana W.; Pacheco-Labrador, Javier; Martín, María P. ; Moreno, Gerardo; Pérez-Priego, Óscar ; Reichstein, Markus; Richardson, Andrew D.; Römermann, Christine; Migliavacca, Mirco. Using near-infrared-enabled digital repeat photography to track structural and physiological phenology in mediterranean tree–grass ecosystems. 10.3390/rs10081293. http://hdl.handle.net/10261/169023 http://dx.doi.org/10.3390/rs11060726 Sí
dc.rights.none.fl_str_mv	info:eu-repo/semantics/openAccess
eu_rights_str_mv	openAccess
dc.publisher.none.fl_str_mv	Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv	Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv	reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str	Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str	DIGITAL.CSIC. Repositorio Institucional del CSIC
collection	DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score	15.812429

Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. Remote Sens. 2018, 10, 1293.

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