Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108317
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorShen, Men_US
dc.creatorZhao, Wen_US
dc.creatorJiang, Nen_US
dc.creatorLiu, Len_US
dc.creatorCao, Ren_US
dc.creatorYang, Wen_US
dc.creatorZhu, Xen_US
dc.creatorWang, Cen_US
dc.creatorChen, Xen_US
dc.creatorChen, Jen_US
dc.creatorZhang, Xen_US
dc.date.accessioned2024-08-05T05:26:25Z-
dc.date.available2024-08-05T05:26:25Z-
dc.identifier.urihttp://hdl.handle.net/10397/108317-
dc.language.isoenen_US
dc.publisherInnovation Pressen_US
dc.rights© 2024 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Shen M., Zhao W., Jiang N., et al., (2024). Challenges in remote sensing of vegetation phenology. The Innovation Geoscience 2(2): 100070. https://doi.org/10.59717/j.xinn-geo.2024.100070 is available at https://doi.org/10.59717/j.xinn-geo.2024.100070.en_US
dc.titleChallenges in remote sensing of vegetation phenologyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2en_US
dc.identifier.issue2en_US
dc.identifier.doi10.59717/j.xinn-geo.2024.100070en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThe innovation geoscience, 12 June 2024, v. 2, no. 2, 100070en_US
dcterms.isPartOfThe innovation geoscienceen_US
dcterms.issued2024-06-12-
dc.identifier.eissn2959-8753en_US
dc.identifier.artn100070en_US
dc.description.validate202408 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera3116-
dc.identifier.SubFormID49649-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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