6533b858fe1ef96bd12b6d78
RESEARCH PRODUCT
Quantification of LAI interannual anomalies by adjusting climatological patterns
Frédéric BaretMarie WeissAleixandre VergerEric VermoteSivasathivel Kandasamysubject
AVHRR010504 meteorology & atmospheric sciencesPhenology0211 other engineering and technologiesGlobal change02 engineering and technologyAtmospheric modelVegetationclimatology fittingSeasonalityResidualmedicine.disease01 natural sciencesLAIClimatology[SDE]Environmental SciencesmedicineEnvironmental scienceIndex Terms— inter-annual anomaliesTime seriesSmoothing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdescription
International audience; Scaling variations and shifts in the timing of seasonal phenology are central features of global change research. In this study, we propose a novel climatology fitting approach to quantify inter-annual anomalies in LAI seasonality. A consistent archive of daily LAI estimates was first derived from historical AVHRR satellite data for the 1981-2000 period over a globally representative sample of sites. The climatology values were then computed by averaging multi-year LAI profiles, gap filling and smoothing to eliminate possible high temporal frequency residual artifacts. The inter-annual variations in LAI were finally quantified by scaling and shifting the seasonal climatological patterns to the actual observations. In addition to capturing LAI dynamics and quantifying anomalies, this climatology fitting approach allows improving the continuity and consistency of time series by filling gaps and smoothing LAI dynamics.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-07-01 |