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Article: A large-scale, long time-series (1984‒2020) of soybean mapping with phenological features: Heilongjiang Province as a test case

TitleA large-scale, long time-series (1984‒2020) of soybean mapping with phenological features: Heilongjiang Province as a test case
Authors
Issue Date2021
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01431161.asp
Citation
International Journal of Remote Sensing, 2021, v. 42, p. 7332-7356 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/319325
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, X-
dc.contributor.authorYu, L-
dc.contributor.authorPeng, D-
dc.contributor.authorGong, P-
dc.date.accessioned2022-10-14T05:11:16Z-
dc.date.available2022-10-14T05:11:16Z-
dc.date.issued2021-
dc.identifier.citationInternational Journal of Remote Sensing, 2021, v. 42, p. 7332-7356-
dc.identifier.urihttp://hdl.handle.net/10722/319325-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01431161.asp-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI].-
dc.titleA large-scale, long time-series (1984‒2020) of soybean mapping with phenological features: Heilongjiang Province as a test case-
dc.typeArticle-
dc.identifier.emailGong, P: penggong@hku.hk-
dc.identifier.authorityGong, P=rp02780-
dc.identifier.doi10.1080/01431161.2021.1957177-
dc.identifier.hkuros338750-
dc.identifier.volume42-
dc.identifier.spage7332-
dc.identifier.epage7356-
dc.identifier.isiWOS:000687044200001-

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