Spatio-temporal assessment of Aerosol Optical Depth from Himawari-8 satellite data over Malaysia

Aerosols, particulate matters and air pollution are significant atmospheric issues in the Southeast Asia (SEA) countries particularly Malaysia. Despite their importance, data to investigate their spatio-temporal variation, estimating their abundance and modelling the trend are not widely available d...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2020-07, Vol.540 (1), p.12053
Main Authors: Kamarul Zaman, Nurul Amalin Fatihah, Kanniah, Kasturi Devi
Format: Article
Language:English
Subjects:
Aerosols
Air monitoring
Air pollution
Atmospheric models
Error analysis
Ground stations
Optical analysis
Optical thickness
Pollution monitoring
Remote sensing
Root-mean-square errors
Satellites
Spatial analysis
Spatial discrimination
Spatial resolution
Temporal resolution
Temporal variations
Tropical environment
Tropical environments
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Summary:Aerosols, particulate matters and air pollution are significant atmospheric issues in the Southeast Asia (SEA) countries particularly Malaysia. Despite their importance, data to investigate their spatio-temporal variation, estimating their abundance and modelling the trend are not widely available due to financial constraints and technical expertise. Remote sensing data are alternative solution to the limited data available from ground stations. One of the latest remotely sensed Aerosol Optical depth (AOD) data available is from Himawari-8 satellite that provides high temporal resolution data (every 10 minutes) at moderate spatial resolution of 5 km. Nevertheless, the robustness of these data for the tropical region has not yet been validated yet. This study aimed at assessing the performance of Himawari-8 AOD L2 product by (i) comparing its absolute AOD values against AOD retrieved from AERONET stations and (ii) analysing the spatial and temporal patterns of the AOD data. The AERONET data were averaged for ±5 min of the Himawari-8 overpass and matched to each other using statistical measures i.e. Correlation, Root mean square error (RMSE), Relative bias (RB) and Mean Absolute Error (MAE). Preliminary results of the analysis provided a coefficient of determination (R2) value = 0.31, RMSE = 0.16, and MAE = 0.15. The Himawari-8 AOD product is found to be overestimated the AOD values by 24.19%. Nevertheless, Himawari-8 AOD L2 product is able to exhibit similar spatial and temporal patterns compared to other remotely sensed AOD data such as that of MODIS. The high temporal resolution of Himawari data will facilitate frequent monitoring of air pollution in this region.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/540/1/012053