The program “7 days technology” on VTV2 channel introduce APOM (Air Pollution Management) System- A product of FIMO

On 16th November APOM has been introduced in the program “7 days technology” of VTV2 channel. This is a system for managing and warning air pollution by using satellite imagery. The system was researched and developed by scientists at Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO), University of Engineering and Technology (UET), Vietnam National University, Hanoi.


User interface of the system

User interface of the system

Some picture form the program “7 days technology”:

Quote of the program link

This system has the following advantages:

– Working online, automatically collecting and processing image data from the remote sensing satellites Terra MODIS, Aqua MODIS and Suomi NPP VIIRS of NASA and the satellite receiving station of UET directly installed, deployed and trained by eOsphere Limited, UK.

– Calculation of PM2.5 parameter (concentration of dust with the size <2.5 micrometers in the air) for the entire territory of Vietnam, spatial resolution 10×10 km with a frequency of 4 times/day (based on Terra/Aqua MODIS image processing) and 6×6 km at 2 times/day (based on NPP VIIRS image processing).

– Applying the formula of transformation from PM2.5 to air quality index (AQI) according to the Vietnam standards and international standards. Through separating data for 63 provinces/cities, the system supplies an image source of PM2.5 dust, AQI for the entire territory of Vietnam and the provinces/cities from 2010 to present.

– Geographic Information Systems (GIS) for air pollution management and warnings based on the Web platform has such features as display of provincial pollution warnings, historical data sesearch, data statistics – report over time, and registering the warning information under daily images. Periodic data automatically counted over time, depending on the requirement of the management levels will be used to discover the correlation, the influence of air pollution over time, and then propose solutions for early warnings to people.

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