Optical characterization of Chinese hybrid rice using laser-induced fluorescence techniques—laboratory and remote-sensing measurements

Duan, Zheng; Peng, Ting; Zhu, Shi Yao; Lian, Ming; Li, Yiyun; Fu, Wei; Xiong, Jiabao; Svanberg, Sune; Zhao, Quanzhi; Hu, Jiandong; Zhao, Guangyu

doi:10.1364/ao.57.003481

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…The development of new instrumentation for remote sensing is in high demand in different fields of industry and research, due to its capability to perform measurements in the required time and place. LIDAR (Light Detection And Ranging) instruments [1,2] are utilized in a broad range of applications, from agricultural applications [3][4][5][6][7][8][9], the discovery of ancient cities [10], as well as for the study of the Earth's atmosphere [11][12][13][14]. For example, a Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument was installed on a satellite to study clouds and atmospheric aerosol dynamics [11,12].…”

Section: Introductionmentioning

confidence: 99%

Fossil Plant Remains Diagnostics by Laser-Induced Fluorescence and Raman Spectroscopies

et al. 2022

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Fossilized plant remains have been studied simultaneously by laser induced fluorescence and Raman spectroscopies, to reveal the prospective methods for onsite or/and laser remote sensing in future extraterrestrial missions. A multiwavelength instrument, capable of fluorescence and Raman measurements, has been utilized for the study of isolated plant fossils, as well as fossils associated with sedimentary rocks. Laser-induced fluorescence spectroscopy revealed that plant fossils and rocks’ luminosity differed significantly due to chlorophyll derivatives (chlorin, porphyrins, lignin components etc.); therefore, fossilized plants can be easily detected at rock surfaces onsite. Raman spectroscopy highly altered the fossilized graphitic material via the carbon D and G bands. Our results demonstrated that combined laser-induced fluorescence and Raman spectroscopy measurements can provide new insights into the detection of samples with biogenicity indicators such as chlorophyll and its derivatives, as well as kerogenous materials. The prospects of multiwavelength LIDAR instrument studies under fieldwork conditions are discussed for fossils diagnostics. The method of laser remote sensing can be useful in geological exploration in the search for oil, coal-bearing rocks, and rocks with a high content of organic matter.

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Section: Introductionmentioning

confidence: 99%

Fossil Plant Remains Diagnostics by Laser-Induced Fluorescence and Raman Spectroscopies

et al. 2022

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“…Thus, it is very important to study the influence of different nitrogen fertilizer levels on the photosynthetic ability of paddy rice. Accurate identification of nitrogen fertilizer levels of paddy rice has been studied by using LIF technique combined with multivariate methods such as principle component analysis (PCA), Fisher's discriminate analysis (FDA) and support vector machine (SVM) [25][26][27]. However, reflectance spectroscopy has rarely been employed to analyse the photosynthetic activity of paddy rice treated with different nitrogen fertilization levels.…”

Section: Introductionmentioning

confidence: 99%

Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels

Zhang

Duan

et al. 2019

R. Soc. open sci.

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Nitrogen is one of the most important nutrient indicators for the growth of crops, and is closely related to the chlorophyll content of leaves and thus influences the photosynthetic ability of the crops. In this study, five hybrid rice varieties were cultivated during one entire growing period in one experimental field supplied with six nitrogen fertilizer levels. Visible and near infrared (vis/NIR) reflectance spectroscopy combined with multivariate analysis was used to identify hybrid rice varieties and nitrogen fertilizer levels, as well as to detect chlorophyll content associated with nitrogen levels. The support vector machine (SVM) algorithm was applied to identify five varieties of hybrid rice and six levels of nitrogen fertilizer. The results demonstrated that different varieties of hybrid rice for each nitrogen level can be well distinguished except for the highest nitrogen level, and no nitrogen level for each rice variety can be completely identified from the other five nitrogen levels. Further, 12 spectral indices combined with partial least square (PLS) analysis were applied for estimating chlorophyll content of rice leaves from plants subjected to different nitrogen levels, and a root mean square error of cross-validation (RMSECV) of 0.506, a coefficient of determination (R2) of 97.8% and a ratio of performance to deviation (RPD) of 4.6 for all rice varieties indicated this as a preferable procedure. This study demonstrates that Vis/NIR spectroscopy can have a great potential for identification of rice varieties and evaluation of nitrogen fertilizer levels.

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Drone-based area scanning of vegetation fluorescence height profiles using a miniaturized hyperspectral lidar system

et al. 2018

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Optical characterization of Chinese hybrid rice using laser-induced fluorescence techniques—laboratory and remote-sensing measurements

Cited by 8 publications

References 23 publications

Fossil Plant Remains Diagnostics by Laser-Induced Fluorescence and Raman Spectroscopies

Fossil Plant Remains Diagnostics by Laser-Induced Fluorescence and Raman Spectroscopies

Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels

Drone-based area scanning of vegetation fluorescence height profiles using a miniaturized hyperspectral lidar system

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