Stein Rune Karlsen

TL;DR: In this paper, the authors used satellite observations to robustly assess changes inmetrics of growing season (onset: SOS, end: EOS and length: LOS) and seasonal total gross primary productivity and evaluated the accuracy of thesemetrics by comparing them tomultiple independent direct and indirect growing season and productivitymeasures.

TL;DR: A new combined pixel-specific NDVI threshold and decision rule-based mapping method was developed to determine the onset and end of the growing season and a moderately high correlation was found between NDVI data and birch phenology data.

TL;DR: In this paper, the authors show how multiple anomalous weather events severely affected the terrestrial productivity during one water year (October 2011-September 2012) in a maritime region north of the Arctic Circle, the Nordic Arctic Region, and contributed to the lowest mean vegetation greenness (normalized difference vegetation index) recorded this century.

TL;DR: To map the annual and spatial variability of the start of the growing season (SOS) in Fennoscandia, the twice-monthly GIMMS-NDVI satellite dataset was used and showed that 1985 was the most extreme year in terms of late SOS.

TL;DR: In this paper, the authors assess the reliability of MODIS (Moderate Resolution Imaging Spectroradiometer) 16-day NDVI data for generating time series of the distribution of defoliation caused by cyclic geometrid moths attacking birch forest in Fennoscandia.