This regional web-based information system application is aimed to:
1. Visualize historical and near real-time satellite observations of air quality and fires from the MODIS and VIIRS satellite sensors
2. Access and visualize 3-day air quality forecast parameters derived from NASA's GEOS global forecast model and bias corrected using machine learning algorithm
3. Support national/regional decision-makers in air quality monitoring, analysis, and forecasting; and
4. Provide policymakers and local governors with current and forecast air quality situation to facilitate decision-making within the current forest fire season
The application allows users to intercompare historic, near real-time satellite observations, ground-based air quality observations, and forecasted conditions to assess how well they intercompare and perform. This ability enables partners such as the Pollution Control Department (PCD), Geo-Informatics & Space Technology Development Agency (GISTDA) as well as decision-makers to leverage satellite observations to more effectively monitor air quality in Thailand and Lower Mekong Region.