UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

被引:189
作者
Sagan, Vasit [1 ]
Maimaitijiang, Maitiniyazi [1 ]
Sidike, Paheding [1 ]
Eblimit, Kevin [1 ]
Peterson, Kyle T. [1 ]
Hartling, Sean [1 ]
Esposito, Flavio [2 ]
Khanal, Kapil [3 ]
Newcomb, Maria [3 ]
Pauli, Duke [3 ]
Ward, Rick [3 ]
Fritschi, Felix [4 ]
Shakoor, Nadia [5 ]
Mockler, Todd [5 ]
机构
[1] St Louis Univ, Dept Earth & Atmospher Sci, St Louis, MO 63108 USA
[2] St Louis Univ, Dept Comp Sci, St Louis, MO 63108 USA
[3] Univ Arizona, Sch Plant Sci, Tucson, AZ 85721 USA
[4] Univ Missouri, Div Plant Sci, Columbia, MO 65211 USA
[5] Donald Danforth Plant Sci Ctr, St Louis, MO 63132 USA
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
thermal imaging; ICI; 8640; P-series; FLIR Vue Pro R 640; thermoMap; Unmanned Aerial Vehicles; vegetation monitoring; plant phenotyping; heritability analysis; WATER-STRESS; CANOPY TEMPERATURE; AERIAL SYSTEM; WHEAT CROPS; IMAGERY; INDEXES; THERMOGRAPHY; REFLECTANCE; IRRIGATION; BIOMASS;
D O I
10.3390/rs11030330
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The growing popularity of Unmanned Aerial Vehicles (UAVs) in recent years, along with decreased cost and greater accessibility of both UAVs and thermal imaging sensors, has led to the widespread use of this technology, especially for precision agriculture and plant phenotyping. There are several thermal camera systems in the market that are available at a low cost. However, their efficacy and accuracy in various applications has not been tested. In this study, three commercially available UAV thermal cameras, including ICI 8640 P-series (Infrared Cameras Inc., USA), FLIR Vue Pro R 640 (FLIR Systems, USA), and thermoMap (senseFly, Switzerland) have been tested and evaluated for their potential for forest monitoring, vegetation stress detection, and plant phenotyping. Mounted on multi-rotor or fixed wing systems, these cameras were simultaneously flown over different experimental sites located in St. Louis, Missouri (forest environment), Columbia, Missouri (plant stress detection and phenotyping), and Maricopa, Arizona (high throughput phenotyping). Thermal imagery was calibrated using procedures that utilize a blackbody, handheld thermal spot imager, ground thermal targets, emissivity and atmospheric correction. A suite of statistical analyses, including analysis of variance (ANOVA), correlation analysis between camera temperature and plant biophysical and biochemical traits, and heritability were utilized in order to examine the sensitivity and utility of the cameras against selected plant phenotypic traits and in the detection of plant water stress. In addition, in reference to quantitative assessment of image quality from different thermal cameras, a non-reference image quality evaluator, which primarily measures image focus that is based on the spatial relationship of pixels in different scales, was developed. Our results show that (1) UAV-based thermal imaging is a viable tool in precision agriculture and (2) the three examined cameras are comparable in terms of their efficacy for plant phenotyping. Overall, accuracy, when compared against field measured ground temperature and estimating power of plant biophysical and biochemical traits, the ICI 8640 P-series performed better than the other two cameras, followed by FLIR Vue Pro R 640 and thermoMap cameras. Our results demonstrated that all three UAV thermal cameras provide useful temperature data for precision agriculture and plant phenotying, with ICI 8640 P-series presenting the best results among the three systems. Cost wise, FLIR Vue Pro R 640 is more affordable than the other two cameras, providing a less expensive option for a wide range of applications.
引用
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页数:29
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