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On the detection and monitoring of reduced water content in plants using spectral responses in the visible domain

机译:利用可见域中的光谱响应检测和监测植物中水分减少的情况

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The water status of cultivated plants can have a significant impact not only on food production, but also on the appropriate usage of increasingly scarce freshwater supplies. Accordingly, the cost-effective detection and monitoring of changes in their water content are longstanding remote sensing goals. Existing procedures employed to achieve these goals are largely based on the spectral responses of plant leaves in the infrared domain where the light absorption within the foliar tissues is dominated by water. Recently, it has been suggested that such procedures could be implemented using spectral responses, more specifically spectral subsurface reflectance to transmittance ratios, obtained in the visible domain. The basis for this proposition resides on the premise that a reduced water content (RWC) can result in histological changes whose effects on the foliar optical properties may not be limited to the infrared domain. However, the experiments leading to this proposition were performed on detached leaves, which were not influenced by the whole plant's adaptation mechanisms to water stress. In this work, we investigate whether the spectral responses of living plant leaves in the visible domain can lead to reliable RWC estimations. We employ measured biophysical data and predictive light transport simulations in order to extend qualitatively and quantitatively the scope of previous studies in this area. Our findings indicate that the living specimens' physiological responses to water stress should be taken into account in the design of new procedures for the cost-effective RWC estimation using visible subsurface reflectance to transmittance ratios.
机译:栽培植物的水状况不仅会对粮食生产产生重要影响,而且对日益稀缺的淡水供应的合理使用也有重要影响。因此,经济有效地检测和监测其含水量的变化是长期的遥感目标。用于实现这些目标的现有程序主要基于植物在红外域的光谱响应,在该域中,叶组织内的光吸收主要由水吸收。近来,已经提出可以使用在可见域中获得的光谱响应,更具体地是光谱下表面反射率与透射比的方法来实现这样的程序。该主张的基础在于以下前提:降低的水分含量(RWC)可导致组织学变化,其对叶面光学特性的影响可能不限于红外域。然而,导致这一命题的实验是在离体的叶片上进行的,不受整个植物对水分胁迫的适应机制的影响。在这项工作中,我们调查了可见域中活植物叶片的光谱响应是否可以导致可靠的RWC估计。为了定性和定量地扩展该领域先前研究的范围,我们采用了测量的生物物理数据和预测性光传输模拟。我们的发现表明,在设计新程序时,应考虑使用活体标本对水分胁迫的生理反应,以便使用可见的地下反射率与透射比进行具有成本效益的RWC估算。

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