MODIS Aerosol Optical Depth Inversion Over Urban Areas Supported by BRDF/Albedo Products

被引:0
|
作者
Wenhua Zhang
Lin Sun
Lishu Lian
Yikun Yang
机构
[1] Shandong University of Science and Technology,Geomatics College
[2] Qufu Normal University,College of Geography and Tourism
[3] Beijing Normal University,State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science
关键词
AOD inversion; Urban area; BRDF; Ross Thick-LiSparseR;
D O I
暂无
中图分类号
学科分类号
摘要
Aerosols play an important role in climate change and environmental pollution, and monitoring of aerosols via remote sensing is of great significance. However, for urban areas that are closely related to people's lives, remote sensing monitoring of aerosol optical depth (AOD) faces major challenges. These surface types, with bidirectional reflection characteristics, have a high surface reflectivity that is not sensitive to aerosol changes. Therefore, surface reflectivity must be calculated with high precision, which can be difficult using existing methods. To overcome these problems, this paper provides a MODIS AOD inversion method for complex background conditions that is supported by BRDF/Albedo products. Using these products, the accuracy of surface reflectivity and the resulting inversion results of aerosols are improved. Three typical complex background areas (Beijing, Baltimore and Paris) were selected for application testing. AOD inversion was calculated using MODIS BRDF/Albedo data for 6 years from 2012 to 2017. Accuracy was verified using the AERONET ground-based observations in the corresponding areas, and results were compared with the existing MODIS aerosol product (MOD04 AOD). Inversion estimates using this method have a higher correlation with AERONET AOD (R = 0.948). The root mean square error is 0.107, and 70.08% of the points are less than the expected error. When compared with MOD04 AOD products in urban areas, the inversion results of the new algorithm have higher precision and stability.
引用
收藏
页码:1345 / 1354
页数:9
相关论文
共 50 条
  • [1] MODIS Aerosol Optical Depth Inversion Over Urban Areas Supported by BRDF/Albedo Products
    Zhang, Wenhua
    Sun, Lin
    Lian, Lishu
    Yang, Yikun
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2020, 48 (10) : 1345 - 1354
  • [2] Aerosol Optical Depth Retrieval From Landsat 8 OLI Images Over Urban Areas Supported by MODIS BRDF/Albedo Data
    Tian, Xinpeng
    Liu, Qiang
    Song, Zhenwei
    Dou, Baocheng
    Li, Xiuhong
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (07) : 976 - 980
  • [3] MODIS AEROSOL INVERSION UNDER COMPLEX BACKGROUND CONDITIONS SUPPORTED BY BRDF/ALBEDO PRODUCTS
    Zhang, Wenhua
    Sun, Lin
    Lian, Lishu
    Yang, Yikun
    Zhang, Yixin
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 7801 - 7804
  • [4] RETRIEVAL OF AEROSOL OPTICAL DEPTH OVER URBAN AREAS USING TERRA/MODIS DATA
    Zhang, X. Q.
    Yang, L. P.
    Yamaguchi, Y.
    [J]. NETWORKING THE WORLD WITH REMOTE SENSING, 2010, 38 : 374 - 379
  • [5] Evaluation and improvement of MODIS aerosol optical depth products over China
    Li, Yi
    Shi, Guoping
    Sun, Zhian
    [J]. ATMOSPHERIC ENVIRONMENT, 2020, 223 (223)
  • [6] Validation and analyzation of MODIS aerosol optical depth products over China
    Li, Zhong-Bin
    Wang, Nan
    Zhang, Zi-Li
    Wang, Tian-Tain
    Tao, Jin-Hua
    Wang, Ping
    Ma, Shuang-Liang
    Xu, Ben-Ben
    Fan, Meng
    [J]. Zhongguo Huanjing Kexue/China Environmental Science, 2020, 40 (10): : 4190 - 4204
  • [7] AEROSOL AND BRDF/ALBEDO INVERSION OVER LAND FROM MSG/SEVIRI DATA
    Li, Yingjie
    Xue, Yong
    Li, Chi
    Yang, Leiku
    Hou, Tingting
    Liu, Jia
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2490 - 2493
  • [8] Retrieval of Aerosol Optical Depth over Arid Areas from MODIS Data
    Tian, Xin-peng
    Sun, Lin
    [J]. ATMOSPHERE, 2016, 7 (10):
  • [9] MODIS aerosol optical depth observations over urban areas in Pakistan: quantity and quality of the data for air quality monitoring
    Gupta, Pawan
    Khan, Maudood N.
    da Silva, Arlindo
    Patadia, Falguni
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2013, 4 (01) : 43 - 52
  • [10] Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites
    Shi, Hanyu
    Xiao, Zhiciiang
    Zhan, Xuchen
    Ma, Han
    Tian, Xiaodan
    [J]. ATMOSPHERIC RESEARCH, 2019, 220 : 75 - 80