Classified Measurement of Phytoplankton Based on Characteristic Fluorescence of Photosynthetic Pigments

Gaofang, 殷高方 Yin; Nanjing, 赵南京 Zhao; Li, 胡丽 Hu; Xiaoya, 余晓娅 Yu; Chaoyi, 石朝毅 Shi; Xue, 肖雪 Xiao; Li, 方丽 Fang; Jingbo, 段静波 Duan; Tingting, 甘婷婷 Gan; Yujun, 张玉钧 Zhang; Jianguo, 刘建国 Liu; Wenqing, 刘文清 Liu

doi:10.3788/aos201434.0930005

Cited by 7 publications

(1 citation statement)

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“…There are two methods for the spectral remote sensing of plant leaves' biochemical components: direct and indirect detection. The direct detection of biochemical components is a method that utilizes the spectral reflection or fluorescence emission characteristics, and indirect detection is a method that utilizes the high correlation between one substance and another to indirectly detect the characteristics of the reflection spectrum or fluorescence emissions of the biochemical components [69]. In Figure 6, the central bands of the 3-D FSIs of Chla and Chlb are located near the 680 nm and 740 nm emission peaks, which belong to the fluorescence emission characteristics of total chlorophyll, including in Chla and Chlb; this was a direct detection.…”

Section: The 3-d Relationship Between the Excitation Band Of Excitati...mentioning

confidence: 99%

New 3-D Fluorescence Spectral Indices for Multiple Pigment Inversions of Plant Leaves via 3-D Fluorescence Spectra

Tian,

Zhang,

Wang

et al. 2024

Remote Sensing

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High-sensitivity fluorescence monitoring has been widely used in agriculture and environmental science. However, the active fluorescence detection information of leaf segments mainly focuses on total chlorophyll, and the fluorescence information of chlorophyll a, chlorophyll b, and some other pigments has not been explored. This only considers the fluorescence spectrum characteristics at a single wavelength or the fluorescence integral from a range of wavelength regions and does not completely consider the linkage relation between the excitation, emission, and interference information. In this paper, the three-dimensional fluorescence spectrum, containing the excitation and emission fluorescence spectra, and the corresponding multiple pigment characteristics from the upgraded LOPEX_ZJU database were collected. The linkages of excitation and emission of the three-dimensional fluorescence spectra of these pigments were analyzed for the newly built multiple pigment 3-D fluorescence spectral indices (3-D FSIs), including those of chlorophyll a, chlorophyll b, carotenoid, anthocyanin, and flavonoid 3-D FSIs. Then, these pigment inversion models were established and validated. The results show that the 3-D FSIs performances for the photosynthetic pigment content inversion (including chlorophyll a and b, and carotenoids) were much better than those for the photo-protective pigments (including anthocyanins and flavonoids) from the 3-D fluorescence spectra of these plant leaves. Here, the 3-D fluorescence normalization index (FNI ((F430,690-F430,763)/(F430,690+F430,763))) for the chlorophyll a inversion model has a high accuracy, the RMSE is 2.96 μg/cm2, and the 3-D fluorescence reciprocal difference index (FRI (F650,704/F650,668) for the chlorophyll b model has an encouraging RMSE (2.01 μg/cm2). The RMSE of the 3-D fluorescence ratio index (FRI (F500,748/F500,717)) for the carotenoid inversion is 3.77 μg/cm2 RMSE. Only FRI (F370,615/F370,438) was selected for the modeling and validating evaluation of the leaf Flas content inversion, but the evaluation metrics were not good, with an RMSE (151.13 μg/cm2). For Ants, although there was a 3-D FSI (FRDI (1/F540,679-1/F540,557)), and its evaluation metrics, with an RMSE (2.8 μg/cm2), were at or over 0.05 level, the validating evaluation metric VC (98.3577%) was not encouraging. These results showed that fluorescence, as a nondestructive and efficient detection method, could determine the contents of chlorophyll a, chlorophyll b, and carotenoid in plant leaves, providing a new method to detect plant information. It can also provide a potential chance for the fluorescence images of fine photo-protective pigments, especially chlorophyll a and b, using the special active fluorescence excitation light source and a few fluorescence imaging channels from the optimal FSIs.

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Section: The 3-d Relationship Between the Excitation Band Of Excitati...mentioning

confidence: 99%

New 3-D Fluorescence Spectral Indices for Multiple Pigment Inversions of Plant Leaves via 3-D Fluorescence Spectra

Tian,

Zhang,

Wang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

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Phytoplankton Image Segmentation and Annotation Method Based on Microscopic Fluorescence

Jia,

Yin,

Zhao

et al. 2023

J Fluoresc

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Effect of dissolved organic nitrogen on the bloom of Prorocentrum donghaiense and Karenia spp. in the East China Sea coastal waters

Cui,

Zhen,

Zhao

et al. 2024

Acta Oceanol. Sin.

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Classified Measurement of Phytoplankton Based on Characteristic Fluorescence of Photosynthetic Pigments

Cited by 7 publications

References 0 publications

New 3-D Fluorescence Spectral Indices for Multiple Pigment Inversions of Plant Leaves via 3-D Fluorescence Spectra

New 3-D Fluorescence Spectral Indices for Multiple Pigment Inversions of Plant Leaves via 3-D Fluorescence Spectra

Phytoplankton Image Segmentation and Annotation Method Based on Microscopic Fluorescence

Effect of dissolved organic nitrogen on the bloom of Prorocentrum donghaiense and Karenia spp. in the East China Sea coastal waters

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