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Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants

机译：番茄植物中水分胁迫光谱植被指数的敏感性

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摘要

Innovations in irrigation water management are required to optimize agricultural water use in water stressed regions of the world, and physiological response of plants to water stress is an important criterion. Remotely sensed plant stress indicators, based on the visible and near-infrared spectral regions, provide an alternative to traditional field measurements of plant stress parameters, as this provides information about the spatial and temporal variability of crops and soil. The present study is a proof of concept on the feasibility of using narrow band hyperspectral derived indices for monitoring water stress in tomato plants (Solanum Lycopersicum L.). Spectral reflectance data were acquired from tomato plants, with five different irrigation regimes namely 100, 80, 60, 40, and 20% of plant available water, in a completely randomized design. Also, plant water stress indicators including canopy temperature (Tc) and relative leaf water content (RWC), as well as volumetric soil moisture content (SMC) were concurrently measured with spectral data acquisition. Normalized Difference Vegetation Index (NDVI), Renormalized Difference Vegetation Index (RDVI), Optimized Soil Adjusted Vegetation Index (OSAVI), Photochemical Reflectance Index centered at 570 nm (PRI570), normalized PRI (PRInorm), Water Index (WI), and Normalized Water Index (NWI) were computed from the spectral data. The relationships between canopy reflectance and water stress indicators were analyzed at different water stress levels. The result showed that the PRI centered at 550 nm wavelength (PRI550), WI, OSAVI, and WI/NDVI were the most sensitive indices to distinguish water stress levels in tomato plants. This study provides an insight into the feasibility of using spectral vegetation indices to monitor water stress in tomato crops for precision irrigation water management.
机译：灌溉水管理的创新需要优化世界压力地区的农业用水，植物对水分应激的生理反应是重要的标准。基于可见和近红外光谱区域的远程感测的植物应力指示器提供了植物应力参数的传统场地测量的替代方案，因为这提供了有关作物和土壤的空间和时间变异性的信息。本研究是关于使用窄带高光谱衍生指标的可行性概念证明，用于监测番茄植物中的水分胁迫（Solanum Lycopersicum L）。从番茄厂获得光谱反射数据，其中五种不同的灌溉制度即100,80,60,40和20％的植物可用水，在完全随机设计中。此外，植物水应激指示剂包括冠层温度（TC）和相对叶含水量（RWC）以及体积土壤水分含量（SMC），用光谱数据采集测量。归一化差异植被指数（NDVI），重整差异植被指数（RDVI），优化土壤调整后植被指数（奥萨瓦），光化学反射率指数以570nm（PRI570），标准化的PRI（喷射），水指数（Wi），并标准化从光谱数据计算水指数（NWI）。在不同的水胁迫水平下分析了树坡反射率和水应激指示物之间的关系。结果表明，以550nm波长（PRI550），Wi，Osavi和Wi / Ndvi为中心的PRI是最敏感的索引，以区分番茄植物中的水分压力水平。本研究介绍了利用光谱植被指数的可行性，以监测番茄作物中的水分胁迫进行精密灌溉水管理。

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