Journal of Geo-information Science ›› 2018, Vol. 20 ›› Issue (3): 360-367.doi: 10.12082/dqxxkx.2018.170588

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Multi-index Analysis of Spatial Patterns of Urban Aerosol Optical Depth

ZHAO Xiaofeng1,2,*(), LIU Jiahui2,3, ZHAO Yanchuang4, WANG Feifei2,3, Li Guilin5   

  1. 1. Geomatics Center of Zhejiang, Hangzhou 310012, China
    2. Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
    4. Institute of Remote Sensing and Digital Earth, Beijing 100094, China
    5. Foshan Land Resource and Urban Planning Research Center, Foshan 528000, China
  • Received:2017-12-04 Revised:2017-12-26 Online:2018-03-20 Published:2018-03-20
  • Contact: ZHAO Xiaofeng
  • Supported by:
    National Natural Science Foundation of China, No. 41371392, 71573242, 71273252.


In this study, a time series of MODIS -Aqua images were used to retrieve the atmospheric aerosol optical depth (AOD) of Xiamen City. Then, the spatio-temporal variations of AOD in different months of the year 2014/2015 except May and September were analyzed in respect of quantity, spatial configuration and structure, respectively. The analysis was implemented by integrating multiple indexes related to spatial autocorrelation and landscape metrics. The results showed that distribution of AOD had obvious spatial and temporal variations in the study area. The low-AOD patches were dominant over forests, while middle/high-AOD patches were dominant over built-up areas. The AOD showed significant seasonal variations, which increased in spring and summer and decreased in autumn and winter. The spatial clustering pattern of AOD, characterized by the indexes related to spatial autocorrelation, showed that low-low (LL) clustering pattern was in the northern mountains of the mainland, while high-high (HH) and high-low (HL) clustering patterns were in the newly developed northeast urban area of Xiamen Island and the urban areas of the mainland satellite towns along the coast. In terms of landscape metrics, high-AOD patches increased from autumn and winter to spring and summer, accompanied by an increase of both complexity and heterogeneity of the landscape structure. It is a useful tool to unfold more thorough, detailed and comprehensive description of the characteristics of AOD variation by using the multi-index analysis. Results of this study can help to assess the impact of aerosol on environment and climate, and provide decisions supporting for the sustainable development of cities.

Key words: aerosol optical depth (AOD), spatial autocorrelation, landscape metrics, multi-index analysis, spatio-temporal variation