Remote sensing-based Aerosol Optical Thickness for monitoring Particular Matter over the city

The urban development driving the air pollution matter is one of the reason which is seriously affecting on public health. Besides the traditional on-land monitoring methods, the current space technology has been contributed to supervising and managing environment. Therefore, this research has studied the use of remote sensing data to detect PM10 from Landsat satellite image by Aerosol Optical Thickness (AOT) method for Ho Chi Minh City area. At the same time, the regression analysis is also used for establishing the relationship the PM10 data obtained at ground stations and AOT values from processed images. The analysis shows a good correlation coefficient 0.95 (and sig-F coefficient 0.0039 noticed that the regression equation is very meaningful). The distribution for PM10 aerosol pollution is focused on the urban area, traffic booth and industrial zones with the value approximately 200µg/m³, even some places have reached 300µg/m³. The results of this study have provided an image of general distribution for current pollution status and also supported to determine the specified polluted areas. It is very helpful and good supported to zoning and urban environmental management in accordance with urban development. As a result, this research has proved that remote sensing can be considered as a helpful and economic tool which supports to monitor the environment and climate change in big cities