A time series processing tool to extract climate-driven interannual vegetation dynamics using Ensemble Empirical Mode Decomposition (EEMD)

Remote Sensing of Environment

Volumn 169, Issue , 2015, Pages 375-389

  Hawinkel, Pieter ^a,b   Swinnen, Else ^a   Lhermitte, Stef ^b   Verbist, Bruno ^b   Van Orshoven, Jos ^b   Muys, Bart ^b  

^a FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Ensemble Empirical Mode Decomposition; Interannual variability; Longitudinal data; NDVI; Time series analysis; Vegetation monitoring

Indexed keywords

ATMOSPHERIC PRESSURE; ECOSYSTEMS; PRECIPITATION (METEOROLOGY); REMOTE SENSING; SENSITIVITY ANALYSIS; VEGETATION;

ENSEMBLE EMPIRICAL MODE DECOMPOSITION; INTERANNUAL VARIABILITY; LONGITUDINAL DATA; NDVI; VEGETATION MONITORING;

TIME SERIES ANALYSIS;

ANNUAL VARIATION; CLIMATE CHANGE; ECOSYSTEM DYNAMICS; EL NINO-SOUTHERN OSCILLATION; ENSEMBLE FORECASTING; FOREST ECOSYSTEM; GLOBAL CHANGE; NDVI; PERFORMANCE ASSESSMENT; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SENSITIVITY ANALYSIS; TIME SERIES; VEGETATION DYNAMICS;

CENTRAL AFRICA; EAST AFRICA;

EID: 84941313383     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.08.024     Document Type: Article

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