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Spectral estimation of soil water content in visible and near infra-red range

机译:可见光和近红外范围内土壤水分的光谱估计

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Soils can be examined on the basis of spectral data, using such methods with which the reflected radiation can be divided into a large number of (several hundreds) small sp ectral channel (some nm). Based on the spectral characteristics of the soils, or the different index numbers calculated from hyperspectral data water content of soils can be well characterized. The examined soil samples were coming from different apple orc hards of which soils had different physical characteristics (sandy loamy and clay). The goals of my experiments were the evaluation of spectral measurement method for soil content detection, and to carry out algorithms for fast field scale spectral evaluat ion of different soil water content. The spectral measuring was carried out by laboratory scale AvaSpec 2048 spectrometer at 400 ¨C 1000 nm wavelength interval with 0.6 nm spectral resolutions and by ASD FieldSpec Junior at 350 ¨C 2500 nm. After drying, dry soil samples were watered by 2.5 m/m% till maximal saturation, and each wetting was measured spectrally. Based on spectral properties, reflectances were decreased in the whole spectral range within the continuous wetting due to the high absorption characte ristics of water. The most water sensitive spectral ranges were selected by principal component, and such algorithms were created, with which the water content can be detectable in the certain soil. The algorithms can facilitate farmers for irrigation sche duling of their orchards. These results can also be utilizable in precision water management, since it can be a basis for such integrated active sensors with LED or laser light source, measuring reflectance at the certain spectral range, which can facilita te real time water status assessment of orchards.
机译:可以基于光谱数据检查土壤,使用这种方法可以将反射的辐射分为大量(数百个)小散射通道(约nm)。根据土壤的光谱特性,或根据高光谱数据计算出的不同指数值,可以很好地表征土壤的含水量。所检查的土壤样品来自不同的苹果兽科植物,其土壤具有不同的物理特性(桑迪壤土和粘土)。我的实验目的是评估用于土壤含量检测的光谱测量方法,并执行用于不同土壤含水量的快速现场规模光谱评估的算法。光谱测量是通过实验室规模的AvaSpec 2048光谱仪在400℃1000 nm波长范围内以0.6 nm的光谱分辨率进行的,而ASD FieldSpec Junior在350℃2500 nm下进行的。干燥后,将干燥的土壤样品浇水2.5 m / m%,直到达到最大饱和度为止,并用光谱法测量每次润湿。基于光谱特性,由于水的高吸收特性,在连续润湿的整个光谱范围内反射率都降低了。通过主成分选择对水最敏感的光谱范围,并创建这样的算法,利用该算法可以在某些土壤中检测到水分。该算法可以帮助农民进行果园的灌溉。这些结果还可以用于精确的水管理,因为它可以作为此类集成式带LED或激光光源的有源传感器的基础,在一定光谱范围内测量反射率,从而有助于果园的实时水状态评估。

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