2014
DOI: 10.1016/j.rse.2013.11.020
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Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type

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Cited by 124 publications
(79 citation statements)
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“…This result implies that in these model simulations, a structural response in combination with a physiological response accounted for the larger magnitude of the SCA amplification. This finding is consistent with the satellite-observed SCA trend of northern vegetation LAI in recent decades (Jeganathan et al, 2014). Another interesting question is whether such seasonal amplification is related to the strength of carbon uptake by terrestrial ecosystems.…”
Section: Global Trends Of Sca Amplificationsupporting
confidence: 89%
“…This result implies that in these model simulations, a structural response in combination with a physiological response accounted for the larger magnitude of the SCA amplification. This finding is consistent with the satellite-observed SCA trend of northern vegetation LAI in recent decades (Jeganathan et al, 2014). Another interesting question is whether such seasonal amplification is related to the strength of carbon uptake by terrestrial ecosystems.…”
Section: Global Trends Of Sca Amplificationsupporting
confidence: 89%
“…To reduce the effect of bare soils and sparsely vegetated grids on the NDVI trends, grid cells with an annual mean NDVI smaller than 0.1 during the 11 years were excluded from the analysis, as in Zhou et al (2001Zhou et al ( , 2003. Many studies have validated these kinds of data for vegetation growing conditions, biomass estimation, environment monitoring, and global change (Li et al 2011;Jeganathan et al 2014;de Jong et al 2013;Chen et al 2006;Fang et al 2007;Xiao et al 2002).…”
Section: Datasetmentioning
confidence: 99%
“…More recently, flux measurements (Migliavacca et al 2011) and digital repeated photography (Richardson et al 2007, 2009a, Keenan et al 2014) have automated phenological observations and increased the spatial scale of observation. The use of satellite images represents the most recent advanced approach in phenological studies, extending the spatial (Jeganathan et al 2014) and temporal (Myneni et al 1997, Everill et al 2014, Wu et al 2014 scales to continents and decades, respectively. Only a few studies have compared different methods to monitor the phenology of forest ecosystems (Fisher & Mustard 2007, though this is of particular interest for the validation of satellite images (Soudani et al 2012).…”
Section: Introductionmentioning
confidence: 99%