Using MODIS LAI data to monitor spatio-temporal changes of winter wheat phenology in response to climate warming

Song, Y; Wang, J; Yu, Q; Huang, J

Using MODIS LAI data to monitor spatio-temporal changes of winter wheat phenology in response to climate warming

Song, Y Wang, J Yu, Q

Huang, J

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Remote Sensing, 2020, 12, (5)
Issue Date:: 2020-03-01

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Field	Value	Language
dc.contributor.author	Song, Y
dc.contributor.author	Wang, J
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821
dc.contributor.author	Huang, J
dc.date.accessioned	2020-10-16T04:56:35Z
dc.date.available	2020-10-16T04:56:35Z
dc.date.issued	2020-03-01
dc.identifier.citation	Remote Sensing, 2020, 12, (5)
dc.identifier.issn	2072-4292
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10453/143301
dc.description.abstract	© 2020 by the authors. Understanding spatio-temporal changes in winter wheat (Triticum aestivum L) phenology and its response to temperature will be vital for adapting to climate change in the coming years. For this purpose, the heading date (HD), maturity date (MD), and length of the reproductive growth period (LRGP) were detected from the remotely sensed leaf area index (LAI) data by a threshold-based method during the harvest year 2003 to 2018 across the North China Plain. The results show that there was high spatial heterogeneity of winter wheat phenology in pixel scale across the whole area, which could not be detected in previous site-based studies. The results also verified that climate warming could explain part of the change in the HD. However, for the LRGP, the potential impact of non-climate effects should be further investigated. This study presents the spatio-temporal changes both in winter wheat phenology and corresponding mean temperature and then analyzes their relationships in pixel scale. Additionally, this study further discusses the potential impact of non-climate effects on the LRGP.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Remote Sensing
dc.relation.isbasedon	10.3390/rs12050786
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering
dc.title	Using MODIS LAI data to monitor spatio-temporal changes of winter wheat phenology in response to climate warming
dc.type	Journal Article
utslib.citation.volume	12
utslib.for	0203 Classical Physics
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0909 Geomatic Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2020-10-16T04:56:19Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	12
utslib.citation.issue	5

Abstract:

© 2020 by the authors. Understanding spatio-temporal changes in winter wheat (Triticum aestivum L) phenology and its response to temperature will be vital for adapting to climate change in the coming years. For this purpose, the heading date (HD), maturity date (MD), and length of the reproductive growth period (LRGP) were detected from the remotely sensed leaf area index (LAI) data by a threshold-based method during the harvest year 2003 to 2018 across the North China Plain. The results show that there was high spatial heterogeneity of winter wheat phenology in pixel scale across the whole area, which could not be detected in previous site-based studies. The results also verified that climate warming could explain part of the change in the HD. However, for the LRGP, the potential impact of non-climate effects should be further investigated. This study presents the spatio-temporal changes both in winter wheat phenology and corresponding mean temperature and then analyzes their relationships in pixel scale. Additionally, this study further discusses the potential impact of non-climate effects on the LRGP.

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http://hdl.handle.net/10453/143301