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PRECISION VITICULTURE FROM MULTITEMPORAL, MULTISPECTRAL VERY HIGH RESOLUTION SATELLITE DATA

机译:多立体,多光谱非常高分辨率卫星数据的精确葡萄栽培

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In order to exploit efficiently very high resolution satellite multispectral data for precision agriculture applications, validated methodologies should be established which link the observed reflectance spectra with certain crop/plant/fruit biophysical and biochemical quality parameters. To this end, based on concurrent satellite and field campaigns during the veraison period, satellite and in-situ data were collected, along with several grape samples, at specific locations during the harvesting period. These data were collected for a period of three years in two viticultural areas in Northern Greece. After the required data pre-processing, canopy reflectance observations, through the combination of several vegetation indices were correlated with the quantitative results from the grape/must analysis of grape sampling. Results appear quite promising, indicating that certain key quality parameters (like brix levels, total phenolic content, brix to total acidity, anthocyanin levels) which describe the oenological potential, phenolic composition and chromatic characteristics can be efficiently estimated from the satellite data.
机译:为了利用高度高分辨率的高分辨率多光谱数据进行精密农业应用,应建立验证的方法,该方法将观察到的反射光谱与某些作物/植物/果实生物物理和生化质量参数联系起来。为此,基于在比赛期间的并发卫星和现场活动,在收获期间,在特定位置收集卫星和原位数据以及几个葡萄样品。这些数据在希腊北部的两个葡萄栽培地区进行了三年。在所需的数据预处理之后,通过几个植被指数的组合与葡萄/必须分析葡萄采样的定量结果相关。结果出现非常有希望,表明可以从卫星数据有效地估计某些关键质量参数(如Brix水平,总酚含量,Brix至总酸度,花青素水平,花青素水平)。

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