首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >A FFT-BASED APPROACH TO EXPLORE PERIODICITY OF VINES/SOIL PROPERTIES IN VINEYARD FROM TIME SERIES OF SATELLITE-DERIVED SPECTRAL INDICES
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A FFT-BASED APPROACH TO EXPLORE PERIODICITY OF VINES/SOIL PROPERTIES IN VINEYARD FROM TIME SERIES OF SATELLITE-DERIVED SPECTRAL INDICES

机译:一种基于FFT的方法,探讨葡萄园中的葡萄园/土壤性质的周期性,从时间序列级卫星衍生的光谱指标

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From literature, NDVI proved to be correlated to vigour and midday stem water potential of vines; NDWI to soil water content. It is thus expected that significant periodicities can be found looking at spectral indices time series. This can be useful to better interpret vines behaviour and, possibly, relate intra-vineyard macroscopic differences to this type of information. To preliminarily test this hypothesis 25 Landsat 8 OLI images, Level-2 Data Products, were processed to compute NDVI and NDWI time series. An interpolation step aimed at generating daily estimates of indices in the explored period (May 2013-February 2016) was performed. Successively vegetation effects were removed from NDWI to emphasize soil signal. Finally a FFT analysis of both NDVI and NDWI interpolated time series was achieved to explore their periodicity, giving a first agronomic interpretation of results.
机译:从文学中,NDVI被证明与葡萄藤的活力和午间干水潜力相关; NDWI对土壤含水量。因此,预期可以找到显着的周期性,观察光谱指数时间序列。这对于更好的解释葡萄藤行为来说,这可能是有用的,并且可能会使葡萄园内的vineyard宏观差异与这种类型的信息相关。为了初步测试这个假设25 Landsat 8 Oli图像,2级数据产品,被处理以计算NDVI和NDWI时间序列。旨在在探索期间产生每日指数估计的插值步骤(2013年5月至2016年2月)。从NDWI中除去植被效应以强调土壤信号。最后实现了NDVI和NDWI内插时间序列的FFT分析,以探讨其周期性,为结果提供了第一次农艺解释。

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