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Title: Retrieving dustfall distribution in Beijing city based on ground spectral data and remote sensing
Other Titles: 基于光譜特征的北京城區植被滯塵分布反演
Authors: Wang, HF
Fang, N
Yan, X
Chen, FT
Xiong, QL
Zhao, WJ
Keywords: Remote sensing
Correlation analysis
Retrieval of dust-fall weight
Issue Date: 2016
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 光譜學與光譜分析 (Spectroscopy and spectral analysis), Sept. 2016, v. 36, no. 9, p. 2911-2918 How to cite?
Journal: 光譜學與光譜分析 (Spectroscopy and spectral analysis) 
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 520~620and 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.
植被葉片的滯塵量可以表征空氣污染的程度,分析城市植被滯塵的空間特征對于制定更為有效的空氣污染控制政策具有重要的現實意義。基于北京市主城區采集的大葉黃楊、國槐、毛白楊和山桃等四種典型綠化植被葉片的滯塵量、光譜反射率和葉面積等數據,比較四種植被葉片滯塵前后的光譜曲線,進行窄波段與衛星波段滯塵前后葉片光譜反射率比值與滯塵量的相關分析。然后,分別建立相關性最大的衛星波段反射率和NDVI與滯塵量之間的回歸模型,選取擬合較好的模型反演北京城區植被的滯塵量分布,進而插值得到整個北京城區的塵埃分布。最后,根據高滯塵區域周圍的土地覆蓋和土地利用以及滯塵期間PM10濃度的空間分布對反演的的合理性進行檢驗。結果表明:在780~1 300nm波段,大葉黃楊、國槐、毛白楊和山桃四種植被的滯塵葉片反射率均明顯低于干凈葉片;窄波段反射率與滯塵量在520~650nm波段和1 390~1 600nm波段具有較高的相關性,相關系數的絕對值最高達到0.626;利用Landsat8的green波段和NDVI構建的滯塵反演模型,決定系數(R2)分別為0.446和0.465。NDVI模型反演的北京城區植被的滯塵量分布結果表明,北京城區滯塵含量呈現出北高南低,東高西低,中心城區高于郊區的空間分布格局。該研究通過高光譜和遙感影像數據反演滯塵量,可以為快速全面監測城市地區塵埃分布提供參考。
ISSN: 1000-0593
DOI: 10.3964/j.issn.1000-0593(2016)09-2911-08
Rights: © 2016 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
© 2016 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
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