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利用NOAA数据分析中国地区植被覆盖变化周期

DOI: 10.11834/jig.20060485

Keywords: 时间序列数据,归一化植被指数(NDVI),傅里叶分量,时间序列谐波分析(HANTS),植被覆盖周期

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Abstract:

对中国地区连续数年的改进的高解析度传感器(AVHRR)均一化植被指数(NDVI)时间序列数据进行研究,利用时间序列谐波分析(HANTS)算法对NDVI数据进行去云处理,同时计算NDVI时间序列的特征分量,用以分析地表植被覆盖的生长周期性变化特性,从而了解地表植被覆盖情况。研究HANTS之后提取出的NDVI傅里叶特征分量。得知0频率表明了全年植被覆盖率均值,1、2频率谐波分量简明地描述了观测点的全年与半年幅值与相位值;1频率谐波的幅值表明了全年中植被生产率的变化,1频率谐波的相位值表明了植被绿度的时间变化快慢;2频率谐波表示的是半年的植被覆盖强度以及时间变化率。

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