Development and evaluation of thermal infrared imaging system for high spatial and temporal resolution crop water stress monitoring of corn within a greenhouse
Development and evaluation of thermal infrared imaging system for high spatial and temporal resolution crop water stress monitoring of corn within a greenhouse
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DOI：
10.1016/j.compag.2015.12.007
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发表时间：
2016-02-01
影响因子：
8.3
通讯作者：
Zhang, Naiqian
中科院分区：
文献类型：
--
作者：
Mangus, Devin L.;Sharda, Ajay;Zhang, Naiqian
不充分的水分利用往往会降低产量和粮食品质。现有的方法使用单一的、局部的土壤水分或冠层温度测量，不能在高空间和时间分辨率上考虑作物水分胁迫，以用于精确的灌溉水管理决策和调度。因此，本研究旨在了解利用热像仪来量化高分辨率空间冠层温度与土壤水分的关系的可行性。本研究的目的是部署热红外成像系统(TIRIS)用于温室玉米冠层温度的高时空监测，测试相机在全季作物发育过程中的耐久性和测量精度，通过图像分割去除背景温度，并对单株进行采样，以研究全季作物水分胁迫与土壤水分含量的关系。利用轻型非制冷热像仪研制了一台TIRIS。玉米植株被分成水分充足和水分紧张的灌溉区，以观察水分亏缺造成的胁迫。冠层温度被用来建立经验冠层和空气温度差与水汽压差之间的线性回归。结果表明，TIRIS系统在补偿环境温室条件变化的同时，保持了+/-0.62摄氏度的测量精度(α=0.05)。冠层温度和气温差与水汽压差的回归方程表明，预测的冠层温度与特征用水量密切相关。80天的研究结果表明，82%的土壤水分变化是由作物水分胁迫指数(CWSI)在0.6到1.0之间解释的。结果表明，利用TIRIS遥感测量冠层温度得到的CWSI可以作为一种替代灌溉调度方法来量化土壤水分的时空变异性。(C)2015爱思唯尔B.V.保留所有权利。
Inadequate water application often decreases yield and grain quality. Existing methods using single, localized soil moisture or canopy temperature measurements do not account for crop water stress on both a high spatial and temporal resolution for precision irrigation water management decisions and scheduling. Therefore, this study was conducted to understand the feasibility of thermal cameras in order to quantify high resolution spatial canopy temperatures in relation to soil moisture. The objectives of this study were to deploy a thermal infrared imaging system (TIRIS) for high spatial and temporal monitoring of corn canopy temperature in greenhouse, test camera durability and measurement accuracy during full-season crop development, remove background temperatures with image segmentation, and sample individual plants to investigate full-season crop water stress versus soil moisture content. A TIRIS was developed using a lightweight uncooled thermal camera. Corn plants were divided into well-watered and water-stressed irrigation zones to observe stress from water deficits. Canopy temperatures were used to develop empirical canopy and air temperature deficit versus vapor pressure deficit linear regressions. Results showed that the TIRIS system maintained measurement accuracy of +/- 0.62 degrees C (alpha = 0.05) while compensating for changing ambient greenhouse conditions. Canopy and air temperature deficit versus vapor pressure deficit regression equations revealed that the predicted canopy temperature was closely related to characteristic water use. Results of the 80-day study demonstrated that 82% of soil moisture variation was explained by the crop water stress index (CWSI) values between 0.6 and 1.0. Results indicated that the CWSI derived by remotely measuring canopy temperature using TIRIS can be used as an alternate irrigation scheduling method in order to quantify spatial and temporal soil moisture variability. (C) 2015 Elsevier B.V. All rights reserved.