Karlsen, Stein RuneAnderson, Helen B.Van der Wal, ReneHansen, Brage Bremset2018-02-202018-02-202018-02-14Karlsen, 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/aa9f751748-9326http://hdl.handle.net/2164/10063Processing 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).4936248engcloud coverplant productivityMODISNDVIgrowing degree daysSvalbardHigh ArcticvariabilityQH301 BiologyQH301Journal article10.1088/1748-9326/aa9f75132