Retrieving Dustfall Distribution in Beijing City Based on Ground Spectral Data and Remote Sensing
WANG Hao-fei1,2, FANG Na3, YAN Xing4, CHEN Fan-tao1,2, XIONG Qiu-lin1,2, ZHAO Wen-ji1,2*
1. Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing 100048, China 2. Beijng Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China 3. Chengdu University of Technology, College of Tourism and Urban-Rural Planning, Chengdu 610059, China 4. Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China
Abstract：Dust-fall distribution of vegetation leaves can indicate the degree of air pollution; therefore the analysis of spatial characteristics of urban vegetation dust-fall has important practical significance for making more effective air pollution control policy. Based on the data of weight of dust, spectral reflectance and leaf area of Euonymus japonicus, Sophora japonica, poplar and davidiana collected in the main area of Beijing city, we compared the curve of spectrum of four plants “dust leaves” to “clean leaves”; the correlation analysis between leaf spectral reflectance ratio (Dust/Clean) of narrow band and satellite band was processed with the weight of dust-fall respectively, with application of four plants leaf data. Then, we built the regression model of the satellite band reflectance and NDVI with dustfall weight respectively, and we used the best model to retrieve the dust-fall distribution of vegetation coverage area in Beijing city, furthermore, we obtained the dust distribution of the whole Beijing city through interpolation. Finally, we carried out the rationality verification of the result by the land cover and land use of the high dust region, as well as the average concentration of PM10. The results showed that, dust leaves had an obviously lower reflectance than clean leaves in 780~1 300 nm which belonged to near-infrared bands; therewas a higher correlation between narrow band reflectance and dust-fall weight in 520~620 and 1 390~1 600 nm, up to -0.626; the coefficients of determination (R2) of inversion models were respectively 0.446 and 0.465,which were constructed by green band and NDVI of Landsat8 with dust-fall weight. Using the model established with NDVI to retrieving the dust-fall distribution of Beijing city, the results demonstrate that the distribution of dust-fall is high in north and low in south, high in east and low in west, high in downtown and low in the suburbs. This study offers a low-cost and effective method for investigating dust-fall distribution in urban area, and provides data support to analysis sources of pollution for the environmental protection department.
Key words：Remote sensing;Hyperspectral;Correlation analysis;Retrieval of dust-fall weight
王皓飞1,2，房 娜3，晏 星4，陈凡涛1,2，熊秋林1,2，赵文吉1,2* . 基于光谱特征的北京城区植被滞尘分布反演 [J]. 光谱学与光谱分析, 2016, 36(09): 2911-2918.
WANG Hao-fei1,2, FANG Na3, YAN Xing4, CHEN Fan-tao1,2, XIONG Qiu-lin1,2, ZHAO Wen-ji1,2* . Retrieving Dustfall Distribution in Beijing City Based on Ground Spectral Data and Remote Sensing . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(09): 2911-2918.
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