Impact of Dust-Fall on Spectral Features of Plant Leaves
LUO Na-na1, 2, ZHAO Wen-ji1, 2*, YAN Xing3
1. Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing 100048, China 2. Resources, Environment and Geographic Information System Key Laboratory of Beijing, Capital Normal University, Beijing 100048, China 3. The Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
Abstract：In order to build inversion model of dust-fall weight by hyperspectral data, 30 samples were collected in Beijing. Through electronic balance and Analytical Spectral Devices FieldSpec Pro (ASD) analysis, the “dust leaves” and the “clean leaves” weight and spectral reflectance were determined respectively, which also obtained information of dust weight and spectral features. Then, based on tradition and partial least squares (PLS) model’s analysis, the relationship between dust weight and spectral reflectance was explored. The results showed that 350～700, 780～1 300 and 1 900～2 500 nm bands had apparently variations when they response to the different dust weights. In general, there was a negative relationship between dust weight and spectral reflectance, the maximum negative value -0.8 occurred at 737 band which belonged to near-infrared bands. In the analysis of dust weight with multi-band, it was indicated that NDVI index which was formed by 948 and 945 bands had a significant correlation (r=0.76) to dust. Finally, through accuracy assessment of regression model, the PLS could obtain a more accurate result than the traditional model.
Key words：Euonymus japonicus;Spectral data;Dust weight inversion;Regression analysis;Partial least squares
罗娜娜1，2，赵文吉1，2*，晏 星3 . 在滞尘影响下的植被叶片光谱变化特征研究 [J]. 光谱学与光谱分析, 2013, 33(10): 2715-2720.
LUO Na-na1, 2, ZHAO Wen-ji1, 2*, YAN Xing3 . Impact of Dust-Fall on Spectral Features of Plant Leaves . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(10): 2715-2720.
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