MODIS植被指数时间序列Savitzky-Golay滤波算法重构

Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter

利用Savitzky-Golay(S-G)滤波方法对若尔盖高原湿地区2000—2009年MODIS16d最大值合成的NDVI时间序列数据进行了重构,并与中值迭代滤波法、傅里叶变换法进行了比较。结果表明,基于S-G滤波的时间序列重构方法重构后的NDVI时间序列在直观及像元的时间序列曲线上均取得了较好的效果,对提高该数据产品质量有很大帮助,通过该方法重构后的高质量的NDVI时间序列对利用该数据源对若尔盖湿地生态系统监测提供了良好的基础。

This paper uses Savitzky-Golay filter method to reconstruct MODIS 16d NDVI time-series product of Ruoergai plateau wetland from 2000 to 2009,and the results are compared with other two methods— Mean Value Iteration filter and Fourier method.As a result,reconstructing method based on Savitzky-Golay filter has got a better result in both image visual effects and NDVI temporal profiles.High-quality long time-series NDVI which is reconstructed based on this method offers a good foundation for the monitoring of ecosystem of Ruoergai wetland.