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Abstract
A new scored method has been proposed in this study to evaluate the performances of different NDVI time-series reconstruction techniques. By giving a synthetic score to each of the candidates techniques based on two quantified criteria the optimal one is selected for the purpose of phenology detection. Three widely used techniques including Asymmetric Gaussian function fitting (AG), Double Logistic function fitting (DL) and Savitzky-Golay filtering (SG) are compared using NDVI time-series products from Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra satellite over cropland of Northeast China. The results show that AG approach outperforms the two others in our study area. Cropland NDVI values have been improved obviously after the reconstruction by AG. Spatial patterns of the crop phenology detected from the AG reconstructed NDVI time-series are reasonable. The errors of the derived crop phenology metrics are within an acceptable limit.
Acknowledgments
This study is financially supported by the National High Technology Research and Development Program of China (2012AA12A304) and the National Natural Science Foundation of China (41201184 and 41271112). We are very grateful to Dr. Lvwen Huang from Northwest Agriculture and Forestry University of China for helpful advices to revise the paper. The authors also wish to thank the editor and the anonymous reviewers for their insightful comments and constructive suggestions.
Disclosure statement
No potential conflict of interest was reported by the authors.