首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XI >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:精密葡萄栽培中的机载遥感:使用多光谱图像评估葡萄园产量和质量,以罗马Velletri为例(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 taken into 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 (R~2 ~ 0.6 and Root Mean Square Error ~ 5g/l), total acidity (R~2 ~ 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年,进行了一项旨在研究新型机载遥感平台作为精密葡萄栽培辅助工具的功能的实验研究。这项研究是在罗马附近韦莱特里镇的两个地区进行的;分别于2008年7月8日和2008年9月9日使用新的机载多光谱传感器ASPIS(高级光谱成像仪系统)进行了采集,该传感器能够采集可见光和近红外光中的12个窄光谱带(10 nm)。红外区域。测试了几种植被指数(总共22个独立变量)以评估不同的酿酒学参数。方差分析表明,根据所考虑的品种,糖和酸度等数种化学化学参数会有所不同。遥感数据与以下化学信息参数显着相关:叶片表面暴露(SFE)(相关系数R〜2〜0.8),木材修剪(R〜2〜0.8),还原糖(R〜2〜0.6和根均值)方差〜5g / l),总酸度(R〜2〜0.6和RMSE〜0.5 g / l),多酚(R〜2〜0.9)和花色苷含量(R〜2〜0.89),以提供“说明性”与感兴趣的酿酒学变量有关的专题图,先前进行的关系已应用于植被指数。

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