Remote Sensing of Land Surface Phenology: Editorial

Ma, X; Jin, J; Zhu, X; Zhou, Y; Xie, Q

Remote Sensing of Land Surface Phenology: Editorial

Ma, X Jin, J Zhu, X Zhou, Y Xie, Q

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Remote Sensing, 2022, 14, (17)
Issue Date:: 2022-09-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Ma, X
dc.contributor.author	Jin, J
dc.contributor.author	Zhu, X
dc.contributor.author	Zhou, Y
dc.contributor.author	Xie, Q https://orcid.org/0000-0002-1576-6610
dc.date.accessioned	2023-02-14T01:47:17Z
dc.date.available	2023-02-14T01:47:17Z
dc.date.issued	2022-09-01
dc.identifier.citation	Remote Sensing, 2022, 14, (17)
dc.identifier.issn	2072-4292
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10453/166097
dc.description.abstract	<jats:p>Land surface phenology (LSP) is an important research field in terrestrial remote sensing and has become an indispensable approach in global change research, as evidenced by many important scientific findings supported by LSP in recent decades [...]</jats:p>
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Remote Sensing
dc.relation.isbasedon	10.3390/rs14174310
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering
dc.title	Remote Sensing of Land Surface Phenology: Editorial
dc.type	Journal Article
utslib.citation.volume	14
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
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
dc.date.updated	2023-02-14T01:47:16Z
pubs.issue	17
pubs.publication-status	Published
pubs.volume	14
utslib.citation.issue	17

Abstract:

Land surface phenology (LSP) is an important research field in terrestrial remote sensing and has become an indispensable approach in global change research, as evidenced by many important scientific findings supported by LSP in recent decades [...]

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http://hdl.handle.net/10453/166097