首页> 外文会议>Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology >Airborne remote sensing in precision viticolture: assessment of quality and quantity vineyard production using multispectral imagery, a case study in Velletri, Rome surroundings (Central Italy)
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Airborne remote sensing in precision viticolture: assessment of quality and quantity vineyard production using multispectral imagery, a case study in Velletri, Rome surroundings (Central Italy)

机译:精密viticolture的机载遥感:使用多光谱图像的质量和数量葡萄园生产评估,罗马周边地区的案例研究(意大利中部)

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During 2008 an experimental study aimed to investigate the capabilities of a new Airborne Remote sensing platform as an aid in precision viticulture was conducted. The study was carried out on 2 areas located in the town of Velletri, near Rome; the acquisitions were conducted on 07-08-2008 and on 09-09-2008, using ASPIS (Advanced Spectroscopic Imager System) the new airborne multispectral sensor, capable to acquire 12 narrow spectral bands (10 nm) located in the visible and near-infrared region. Several vegetation indices, for a total of 22 independent variables, were tested for the estimation of different oenological parameters. Anova test showed that several oenochemical parameters, such as sugars and acidity, differ according to the variety takeninto consideration. The remotely sensed data were significantly correlated with the following oenochemical parameters: Leaf Surface Exposed (SFE) (correlation coefficient R~2 ~ 0.8), wood pruning (R~2 ~ 0.8), reducing sugars (R2 -0.6 and Root Mean Square Error ~ 5g/l), total acidity (R2 -0.6 and RMSE -0.5 g/l), polyphenols (R~2~ 0.9) and anthocyanins content (R~2 ~ 0.89) in order to provide "prescriptives" thematic maps related to the oenological variables of interest, the relationships previously carried out have been applied to the vegetation indices.
机译:在2008期间,旨在调查新的空中遥感平台作为精确葡萄栽培援助的援助的能力。该研究是在罗马附近的位于Velletri镇的2个地区进行;收购是在07-08-2008和09-09-2008进行的,使用Aspis(高级光谱成像器系统)新的空中多光谱传感器,能够获得位于可见和附近的12个窄谱带(10nm) - 红外地区。测试了几种植被指数,总共22个独立变量进行了测试,以估计不同的卵巢参数。 ANOVA测试表明,糖和酸性等几个oenochemical参数根据多种特劳科考虑因素而异。远程感测的数据与以下Oenochemical参数显着相关:叶面暴露(SFE)(相关系数R〜2〜0.8),木制灌注(R〜2〜0.8),还原糖(R2 -0.6和均方根误差〜5g / l),总酸度(R2-0.6和Rmse -0.5g / L),多酚(R〜2〜0.9)和花青素含量(R〜2〜0.89),以提供“规范性”的主题地图相关感兴趣的血统变量,先前进行的关系已经应用于植被指数。

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