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A new NDVI measure that overcomes data sparsity in cloud-covered regions predicts annual variation in ground-based estimates of high-arctic plant productivity

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dc.contributor.authorKarlsen, Stein Rune
dc.contributor.authorAnderson, Helen B.
dc.contributor.authorVan der Wal, Rene
dc.contributor.authorHansen, Brage Bremset
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.date.accessioned2018-02-20T13:21:07Z
dc.date.available2018-02-20T13:21:07Z
dc.date.issued2018-02-14
dc.descriptionProcessing of the MODIS dataset for monitoring the onset of the growing season was, in part, funded by the Environmental Monitoring of Svalbard and Jan Mayen (MOSJ). We are grateful to senior advisor John Richard Hansen, our contact person at the Norwegian Polar Institute in MOSJ, for his support, and to the members of the Arctic Biomass project (Research Council of Norway [RCN], grant 227064/E10) for valuable discussion about the NDVI – biomass relationships. Additional funding was provided by the RCN through the projects ‘Predicting effects of climate change on Svalbard reindeer population dynamics: a mechanistic approach’ (grant 216051) and ‘SnoEco’ (grant 230970), the ESA PRODEX project ‘Sentinel-2 for High North Vegetation Phenology’ (grant 4000110654), and the Svalbard Environmental Protection Funded project ’Effects of climate change on plant productivity’ (grant 15/28).en
dc.description.statusPeer revieweden
dc.format.extent4936248
dc.identifier112780656
dc.identifier21fae0cb-5a39-4c97-ab2a-728840999e48
dc.identifier85048285352
dc.identifier.citationKarlsen, S R, Anderson, H B, Van der Wal, R & Hansen, B B 2018, 'A new NDVI measure that overcomes data sparsity in cloud-covered regions predicts annual variation in ground-based estimates of high-arctic plant productivity', Environmental Research Letters, vol. 13, no. 2, 025011. https://doi.org/10.1088/1748-9326/aa9f75en
dc.identifier.doi10.1088/1748-9326/aa9f75
dc.identifier.iss2en
dc.identifier.issn1748-9326
dc.identifier.urihttp://hdl.handle.net/2164/10063
dc.identifier.vol13en
dc.language.isoeng
dc.relation.ispartofEnvironmental Research Lettersen
dc.subjectcloud coveren
dc.subjectplant productivityen
dc.subjectMODISen
dc.subjectNDVIen
dc.subjectgrowing degree daysen
dc.subjectSvalbarden
dc.subjectHigh Arcticen
dc.subjectvariabilityen
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleA new NDVI measure that overcomes data sparsity in cloud-covered regions predicts annual variation in ground-based estimates of high-arctic plant productivityen
dc.typeJournal articleen

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