An algorithm for retrieving aerosol optical depth from Landsat 8 Operational Land Imager in Vietnam

被引:0
作者
Tuan, Vinh Tran [1 ]
Xuan, Truong Ngo [2 ]
Thanh, Thuy Nguyen [2 ]
Nhat, Thanh Nguyen Thi [2 ]
机构
[1] Hanoi Pedag Univ, Inst Informat Technol, Vinh Phuc, Vietnam
[2] Vietnam Natl Univ Hanoi, Univ Engn & Technol, Hanoi, Vietnam
关键词
Aerosol retrieval; Landsat; 8; dark target; MODIS; AOD; PARTICULATE MATTER; SPATIAL-RESOLUTION; CLOUD SHADOW; SATELLITE; PRODUCTS; DUST; VALIDATION; MODEL; SARA;
D O I
10.1080/10106049.2023.2228748
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High-resolution aerosol products offer advantages over lower spatial-resolution products for monitoring pollution in urban areas and industrial zones. Therefore, in this study we develop a Landsat 8 algorithm to retrieve aerosol optical depth (AOD) based on the MODIS Dark Target (DT) algorithm. This algorithm uses the direct surface reflectance of Landsat 8 to build a surface reflectance relationship between the visible (BLUE, RED) and short-wave infrared bands (SWIR2). AOD data from AERONET stations in the study area and AOD data from MODIS 3 km were used for validation of the estimated Landsat 8 AOD. The estimated AOD was highly correlated at most AERONET AOD, with R-2=0.98, (RMSE = 0.3), except Bac Lieu, but only had a moderate correlation with MODIS AOD which was attributed to the difference in data retrieval time and associated changes in climate conditions. This is the first high-resolution AOD retrieval in Vietnam, leading to more practical applications for air quality monitoring.
引用
收藏
页数:27
相关论文
共 84 条
  • [1] [Anonymous], 2018, Solar Illumination and Sensor Viewing Angle Coefficient Files
  • [2] [Anonymous], 2016, International Journal of Advanced Research, DOI [10.21474/IJAR01/1348, DOI 10.21474/IJAR01/1348]
  • [3] [Anonymous], 2018, Landsat Angles Creation
  • [4] [Anonymous], MOD04 3K
  • [5] [Anonymous], 2018, Using the USGS Landsat Level-1 Data Product
  • [6] [Anonymous], 1997, AERONET Documents
  • [7] [Anonymous], PYTHON FMASK
  • [8] Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms
    Bilal, Muhammad
    Nichol, Janet E.
    Chan, Pak W.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2014, 153 : 50 - 60
  • [9] A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces
    Bilal, Muhammad
    Nichol, Janet E.
    Bleiweiss, Max P.
    Dubois, David
    [J]. REMOTE SENSING OF ENVIRONMENT, 2013, 136 : 135 - 145
  • [10] Bodhaine BA, 1999, J ATMOS OCEAN TECH, V16, P1854, DOI 10.1175/1520-0426(1999)016<1854:ORODC>2.0.CO