Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20409
Title: Estimation of atmospheric dust deposition on plant leaves based on spectral features
Authors: Yan, X
Shi, W 
Zhao, W
Luo, N
Keywords: Air pollution
Interval analysis
Near-infrared
Spectrum
Urban
Issue Date: 2014
Publisher: Taylor and Francis Inc.
Source: Spectroscopy letters, 2014, v. 47, no. 7, p. 536-542 How to cite?
Journal: Spectroscopy Letters 
Abstract: Urban atmospheric dust is a significant problem and becoming a considerable pollution source in many cities. This study was based on a comparison of spectral reflectance on the surfaces of dusty and clean leaves. A significant linear relationship (r = 0.811) correlation between the dust weight and near-infrared band region (700-1000 nm) was found through analysis of the spectral data. This relationship obtained from near-infrared band regions, based on the main effects and cluster and interval analysis, was more distinct and stable than that of blue, green, red, and middle-infrared band regions. Thus, the use of near-infrared band data is a reliable method to estimate the amount of dust deposition on plant leaves. A regression model (R2 = 64.3%) was constructed based on dust deposition on plant leaves and a near-infrared ratio. The model proved to be accurate as regards an estimation of dust weight, based on a comparison of residuals (normal distribution) and accuracy tests (slope = 0.8437). This model could provide a methodological basis for spatial dust distribution analysis and has the potential for evaluating air pollution levels.
URI: http://hdl.handle.net/10397/20409
ISSN: 0038-7010
DOI: 10.1080/00387010.2013.820761
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