Estimating leaf nitrogen concentration from similarities in fresh and dry leaf spectral bands using a model population analysis framework

dc.contributor.authorMasemola, Cecilia
dc.contributor.authorCho, Moses Azong
dc.date.accessioned2020-05-25T15:12:11Z
dc.date.available2020-05-25T15:12:11Z
dc.date.issued2019
dc.description.abstractPlease read abstract in the article.en_ZA
dc.description.departmentPlant Production and Soil Scienceen_ZA
dc.description.librarianhj2020en_ZA
dc.description.urihttp://www.tandfonline.com/loi/tres20en_ZA
dc.identifier.citationCecilia Masemola & Moses Azong Cho (2019) Estimating leaf nitrogen concentration from similarities in fresh and dry leaf spectral bands using a model population analysis framework, International Journal of Remote Sensing, 40:17, 6841-6860, DOI: 10.1080/01431161.2019.1597300.en_ZA
dc.identifier.issn0143-1161 (print)
dc.identifier.issn1366-5901 (online)
dc.identifier.other10.1080/01431161.2019.1597300
dc.identifier.urihttp://hdl.handle.net/2263/74722
dc.language.isoenen_ZA
dc.publisherTaylor and Francisen_ZA
dc.rights© 2019 Informa UK Limited, trading as Taylor & Francis Group. This is an electronic version of an article published in International Journal of Remote Sensing, vol. 40, no. 17, pp. 6841-6860, 2019. doi : 10.1080/01431161.2019.1597300. International Journal of Remote Sensing is available online at : http://www.tandfonline.com/loi/tres20.en_ZA
dc.subjectCompetitive adaptive re-weighted sampling (CARS)en_ZA
dc.subjectLeaf nitrogen concentrationen_ZA
dc.subjectLeaf spectral bandsen_ZA
dc.subjectMonte Carlo cross-validation-competitive adaptive re-weighted sampling (MCCV-CARS)en_ZA
dc.titleEstimating leaf nitrogen concentration from similarities in fresh and dry leaf spectral bands using a model population analysis frameworken_ZA
dc.typePostprint Articleen_ZA

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