Multiple Cropping Index from Spot NDVI Time Series Using Wavelet Transform

摘要

Multiple Cropping Index(MCI) is directly related to food security and the utilization efficiency of cultivated land.SPOT VGT NDVI time series data sets are not non-stationary and present short-term,seasonal and long-term variations.MCI from SPOT VGT NDVI in 2007 using Wavelet Transform (WT) has been implemented.Applying Wavelet Transform to denoise the multi-temporal remote sensing data,we can easily judge cropping pattern by smoothed NDVI values.At the same time,four mother wavelets have been compared and COIFLET has a better result.The study has proved the wavelet transform is an effective denoising tool for time series data.The MCI of the study area has a good consistency with the existed studies.