0000000000341798

AUTHOR

Rogier De Jong

showing 2 related works from this author

No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO 2 fertilization

2016

Considerable evidence exists that current global temperatures are higher than at any time during the past millennium. However, the long-term impacts of rising temperatures and associated shifts in the hydrological cycle on the productivity of ecosystems remain poorly understood for mid to high northern latitudes. Here, we quantify species-specific spatiotemporal variability in terrestrial aboveground biomass stem growth across Canada’s boreal forests from 1950 to the present. We use 873 newly developed tree-ring chronologies from Canada’s National Forest Inventory, representing an unprecedented degree of sampling standardization for a large-scale dendrochronological study. We find significa…

0106 biological sciencesCanadaTime Factors010504 meteorology & atmospheric sciencesClimate ChangeClimate changeForests010603 evolutionary biology01 natural sciencesCarbon CycleTreesCarbon cycleTaigaDendrochronologyEcosystemBiomassWater cycle0105 earth and related environmental sciencesBiomass (ecology)Models StatisticalMultidisciplinaryEcologyGeographyTaigaTemperatureCarbon DioxideGeographyPNAS PlusClimatologySpatial ecologyRegression AnalysisPhysical geographyProceedings of the National Academy of Sciences
researchProduct

Comparative study of three satellite image time-series decomposition methods for vegetation change detection

2018

International audience; Satellite image time-series (SITS) methods have contributed notably to detection of global change over the last decades, for instance by tracking vegetation changes. Compared with multi-temporal change detection methods, temporally highly resolved SITS methods provide more information in a single analysis, for instance on the type and consistency of change. In particular, SITS decomposition methods show a great potential in extracting various components from non-stationary time series, which allows for an improved interpretation of the temporal variability. Even though many case studies have applied SITS decomposition methods, a systematic comparison of common algori…

Atmospheric ScienceNon-stationary010504 meteorology & atmospheric sciencesBFASTSTL0211 other engineering and technologiesMRA-WT02 engineering and technology01 natural sciencesNormalized Difference Vegetation Indexlcsh:OceanographyDecomposition (computer science)medicineSatellite imagerylcsh:GC1-1581Computers in Earth SciencesNDVI time series021101 geological & geomatics engineering0105 earth and related environmental sciencesGeneral Environmental ScienceRemote sensingApplied Mathematicslcsh:QE1-996.5Global change15. Life on landSeasonalitymedicine.diseaselcsh:GeologyEnvironmental scienceChange detectionSatellite Image Time Seriesmedicine.symptomVegetation (pathology)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingChange detection
researchProduct