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首页> 外文会议>23rd Asian conference on remote sensing : Abstract book >MULTITEMPORAL ANALYSIS OF AVHRR NDVI IMAGERY ON KOREAN PENINSULA USING HARMONIC COMPONENT
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MULTITEMPORAL ANALYSIS OF AVHRR NDVI IMAGERY ON KOREAN PENINSULA USING HARMONIC COMPONENT

机译：谐波分量对韩半岛AVHRR NDVI影像的多时相分析

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The seasonality of vegetation types can be represented with a harmonic model characterized byrnfour components: mean, frequency, amplitude and phase. The parameterization providesrnphysically interpretable values with which to characterize the seasonal development of arnvegetated pixel. The mean index represents the average level of spectral intensity over the wholernperiod that the data were compiled. The periodicity of ground cover response is described by thernfrequency index. The amplitude and phase indices are reference values associated with therngrowing season of a particular vegetation type. One reflects the range of variation in the spectralrnmeasurements and the other the time of the initiation and peak of growth. Using the estimatesrnthat are obtained through spectral analysis of a sequence of composite imagery, seasonalrnperiodicity can be incorporated into multitemporal classification. The resulting classification basedrnon these components reflects different sources of temporal variation. The proposed approach hasrnbeen applied to the series of AVHRR NDVI images of Korean Peninsula observed from 1996 torn2000.
机译：植被类型的季节性可以用谐波模型来表示，该模型以四个分量为特征：均值，频率，幅度和相位。参数化提供了物理上可解释的值，用以表征无植物像素的季节变化。平均值指数代表了整个数据编辑期间的光谱强度的平均水平。地表响应的周期性由频率指数描述。振幅和相位指数是与特定植被类型的生长期相关的参考值。一个反映了光谱测量的变化范围，另一个反映了起始时间和生长峰值。使用通过对一系列合成图像进行频谱分析获得的估计值，可以将季节性的周期性纳入多时相分类中。这些成分所产生的基于分类的信息反映了时间变化的不同来源。所提出的方法已应用于朝鲜半岛从1996年至2000年观测到的一系列AVHRR NDVI图像。

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