TY - JOUR
T1 - A novel aerosol load index using MODIS visible bands
T2 - Applied to south-west part of Iran
AU - Bahramvash Shams, Shima
AU - Mohammadzadeh, Ali
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - Because of the existence of some gaps, uncertainties, and coarse spatial resolution in global aerosol optical depth (AOD) data over south-west part of Iran as the study area, a novel aerosol load index is proposed. As no AERONET station is available in the study area, an index is needed that does not use particle properties. The proposed algorithm has several steps: cloud masking, Rayleigh path reflectance, surface reflectance database, aerosol reflectance, and aerosol load index. Surface reflectance database of 0.05° latitude × 0.05° longitude resolution is calculated by improved minimum reflectance technique (IMRT) for spring season of 2005. The correlation of IMRT surface reflectance at 0.47 μm wavelength with MOD09 is increased in comparison with minimum reflectance technique (MRT), R = 0.75. Aerosol reflectance is obtained through radiation transfer equation, Rayleigh path reflectance, and surface reflectance database. The proposed load index is based on reducing the geometry dependency; hence normalized aerosol reflectance by accounting for solar/view slant path is used. The aerosol load index is verified for dust contamination. The suggested algorithm is applied over study area in spring 2005 using moderate resolution imaging spectroradiometer (MODIS) level L1B calibrated reflectance MOD02Hkm on Terra spacecraft. The spatial resolution of final aerosol load index is 500 m. For validation, the resultant load index is compared with dark-target and Deep Blue retrieved AOD of MOD/MYD04 and correlations of R = 0.82 and R = 0.71 are found at 0.47 μm wavelength, respectively. In comparison with ground base dust particle concentration, correlation of R = 0.72 is achieved correspondingly.
AB - Because of the existence of some gaps, uncertainties, and coarse spatial resolution in global aerosol optical depth (AOD) data over south-west part of Iran as the study area, a novel aerosol load index is proposed. As no AERONET station is available in the study area, an index is needed that does not use particle properties. The proposed algorithm has several steps: cloud masking, Rayleigh path reflectance, surface reflectance database, aerosol reflectance, and aerosol load index. Surface reflectance database of 0.05° latitude × 0.05° longitude resolution is calculated by improved minimum reflectance technique (IMRT) for spring season of 2005. The correlation of IMRT surface reflectance at 0.47 μm wavelength with MOD09 is increased in comparison with minimum reflectance technique (MRT), R = 0.75. Aerosol reflectance is obtained through radiation transfer equation, Rayleigh path reflectance, and surface reflectance database. The proposed load index is based on reducing the geometry dependency; hence normalized aerosol reflectance by accounting for solar/view slant path is used. The aerosol load index is verified for dust contamination. The suggested algorithm is applied over study area in spring 2005 using moderate resolution imaging spectroradiometer (MODIS) level L1B calibrated reflectance MOD02Hkm on Terra spacecraft. The spatial resolution of final aerosol load index is 500 m. For validation, the resultant load index is compared with dark-target and Deep Blue retrieved AOD of MOD/MYD04 and correlations of R = 0.82 and R = 0.71 are found at 0.47 μm wavelength, respectively. In comparison with ground base dust particle concentration, correlation of R = 0.72 is achieved correspondingly.
KW - Aerosols
KW - remote sensing
KW - satellite applications
UR - https://www.scopus.com/pages/publications/85027945804
U2 - 10.1109/JSTARS.2014.2381269
DO - 10.1109/JSTARS.2014.2381269
M3 - Article
AN - SCOPUS:85027945804
SN - 1939-1404
VL - 8
SP - 1167
EP - 1175
JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IS - 3
M1 - 7010918
ER -