Response of dust particle pollution and construction of a leaf dust deposition prediction model based on leaf reflection spectrum characteristics

Zhu, Jiyou; Yu, Qiang; Zhu, Hua; He, Weijun; Xu, Chengyang; Liao, Juyang; Zhu, QiuYu

doi:10.1007/s11356-019-06635-4

Cited by 14 publications

(2 citation statements)

References 51 publications

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“…According to studies of vegetation pigments [19,40], the pigment concentration was divided into three groups: "Level 1" is 5-10 mg/L; "Level 2" is 10-15 mg/L; "Level 3" is higher than 15 mg/L. Because the selected samples were all shrubs and refer to a large number of dust load measurement studies [10,[53][54][55] and the preliminary research foundation of the samples, the dust deposition capacity per plant species was divided into three levels: "Less dust" is 0-1.5 g/m 2 ; "Medium dust" is 1.5-4 g/m 2 ; "Heavy dust" is above 4 g/m 2 . When performing correlation analysis and establishing estimation models, the samples for each dust deposition level were composed of three tree species to reduce the difference among species.…”

Section: Data Processingmentioning

confidence: 99%

Effect of Dust Deposition on Chlorophyll Concentration Estimation in Urban Plants from Reflectance and Vegetation Indexes

Lin

Xü

et al. 2021

Remote Sensing

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Using reflectance spectroscopy to monitor vegetation pigments is a crucial method to know the nutritional status, environmental stress, and phenological phase of vegetation. Defining cities as targeted areas and common greening plants as research objects, the pigment concentrations and dust deposition amounts of the urban plants were classified to explore the spectral difference, respectively. Furthermore, according to different dust deposition levels, this study compared and discussed the prediction models of chlorophyll concentration by correlation analysis and linear regression analysis. The results showed: (1) Dust deposition had interference effects on pigment concentration, leaf reflectance, and their correlations. Dust was an essential factor that must be considered. (2) The influence of dust deposition on chlorophyll—a concentration estimation was related to the selected vegetation indexes. Different modeling indicators had different sensitivity to dust. The SR705 and CIrededge vegetation indexes based on the red edge band were more suitable for establishing chlorophyll-a prediction models. (3) The leaf chlorophyll concentration prediction can be achieved by using reflectance spectroscopy data. The effect of the chlorophyll estimation model under the levels of “Medium dust” and “Heavy dust” was worse than that of “Less dust”, which meant the accumulation of dust had interference to the estimation of chlorophyll concentration. The quantitative analysis of vegetation spectrum by reflectance spectroscopy shows excellent advantages in the research and application of vegetation remote sensing, which provides an important theoretical basis and technical support for the practical application of plant chlorophyll content prediction.

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Section: Data Processingmentioning

confidence: 99%

Effect of Dust Deposition on Chlorophyll Concentration Estimation in Urban Plants from Reflectance and Vegetation Indexes

Lin

Xü

et al. 2021

Remote Sensing

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“…As shown in Table 1, the hyperspectral characteristic parameters selected in this study include the position of red edge (REP), the slope of red edge (RES), the re ectance of red valley (RRV), the re ectance of green peak (RGP), the position of green peak (GPP), the re ectance of water stress band (RWSB), the slope of yellow edge (YES), and the position of yellow edge [58,59,60]. Table 3 Spectral parameters and their description.…”

Section: Research Area and Sample Collectionmentioning

confidence: 99%

The Changes of Leaf Reflectance Spectrum and Leaf Functional Traits of Osmanthus Fragrans are Related to the Parasitism of Cuscuta Japonica

Zhu

et al. 2020

Preprint

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Background: Studies on the influence of parasitism on plants based on hyperspectral analysis have not been reported so far. To fully understand the variation characteristics and laws of leaf reflectance spectrum and functional traits after the urban plant parasitized by Cuscuta japonica Choisy. Osmanthus fragrans (Thunb.) Lour. was taken as the research object to analyze the spectral reflectance and functional traits characteristics at different parasitical stages. Results: Results showed that the spectral reflectance was higher than the parasitic reflectance in the visible light and near infrared. The spectral reflectance in 750 ~ 1400 nm was the sensitive range of spectral response of host plants to parasitic infection, which is universal at different parasitic stages. We established a chlorophyll inversion model (y=-65913.323x+9.783, R2=0.6888) based on the reflectance of red valley (minimum band reflectance in the range of 640 ~ 700 nm), which can be used for chlorophyll content of the parasitic Osmanthus fragrans. There was a significant correlation between spectral characteristic parameters and chlorophyll content index. Through the change of spectral parameters, we can predict the chlorophyll content of Osmanthus fragrans under different parasitism degrees.Conclusion: After the host plant was invaded by parasitic plants, its leaf functional traits are generally characterized by thick leaf, small leaf area, small specific leaf area, low relative chlorophyll content, high dry matter content and high leaf tissue density. These findings indicate that the host plant have taken certain trade-off strategy to maintain their growth in the environment invaded by parasitic plants. Therefore, we suspect that there may be leaf economics spectrum in the parasitic environment, and there was a general trend toward "slow investment-return" in the global leaf economics spectrum.

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Imaging particulate matter exposed pine trees by vehicle exhaust experiment and hyperspectral analysis

Park

et al. 2022

Environ Sci Pollut Res

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Response of dust particle pollution and construction of a leaf dust deposition prediction model based on leaf reflection spectrum characteristics

Cited by 14 publications

References 51 publications

Effect of Dust Deposition on Chlorophyll Concentration Estimation in Urban Plants from Reflectance and Vegetation Indexes

Effect of Dust Deposition on Chlorophyll Concentration Estimation in Urban Plants from Reflectance and Vegetation Indexes

The Changes of Leaf Reflectance Spectrum and Leaf Functional Traits of Osmanthus Fragrans are Related to the Parasitism of Cuscuta Japonica

Imaging particulate matter exposed pine trees by vehicle exhaust experiment and hyperspectral analysis

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