Fractal Signature Feature Analysis of MODIS NDVI Time Series Data

Beijing Academy of Agriculture and Forestry Sciences, Beijing Research and Development Center for Grass and Environment, 100097 Beijing, China

Abstract

Fractal signature feature of MODIS Normalized Difference Vegetation Index (NDVI) time series data is proposed in this study in order to further mine its inherent information. Savitzky-Golay filter is adopted to reconstruct MODIS NDVI time series curves of Beijing in China. The blanket method used for computing fractal dimension of surface is modified and then transferred to compute upper and lower fractal signature of each pixel in NDVI time series images. The fractal signature and their corresponding scale are analyzed, and the results show that fractal signature curves and fractal signature images can clearly reflect different targets of land use and land cover at certain scales. This study also provides a new secondary characteristic parameter for related studies.