NDVI Time-series Reconstruction Methods of China's HJ Satellite Imagery

In this paper,we compared the performance of four NDVI time-series reconstruction methods,including asymmetric Guassian function fitting(A-G),double logistic function fitting(D-L),Savitzky-Golay filtering method(S-G)and harmonic analysis of time series(Hants),on processing the imagery of China's HJ satellites.Results show that A-G and D-L are more suitable for reconstruction of vegetation features,comparing with the reference data.The reconstruction curves of A-G and D-L have high consistency in expression vegetation phenology.Hants brings minimal disturbance of the original data and fits for reconstruction of architectural features and water features.S-G performs worst.