APPLICATION OF SINGULAR SPECTRUM ANALYSIS (SSA) FOR THE RECONSTRUCTION OF ANNUAL PHENOLOGICAL PROFILES OF NDVI TIME SERIES DATA

摘要

The Singular Spectrum Analysis (SSA) is proposed as an alternative novel technique used to reduce noise in the Normalized Difference Vegetation Index (NDVI) time-series annual phenology profile from the Advanced Very High Resolution Radiometer (AVHRR) data. The SSA preserves more valuable elements of the NDVI profile based on data-adaptive basis functions. This paper describes a detailed investigation into the suitability of the SSA for NDVI profile reconstruction. The ability of the SSA to decompose the time series into several principal components, distinguish between the main signal and noise, and subsequently reconstruct the original time series through the use of reconstructed components (RC) are demonstrated in this study.