Pan-Asia Partnership for Geospatial Air Pollution Information Logo

Pan-Asia Partnership for Geospatial Air Pollution Information

The Pan-Asia Partnership for Geospatial Air Pollution Information (PAPGAPI) is an open partnership launched in 2020 to enhance air quality monitoring by remote sensing data. Supported by ESCAP, the National Institute of Environmental Research (NIER) of Republic of Korea, and the Korea International Cooperation Agency (KOICA), PAPGAPI integrates satellite and ground-based data to improve air pollution assessment and policymaking.

 

PAPGAPI’s work covers multiple key areas. It utilizes the Geostationary Environment Monitoring Spectrometer (GEMS) to provide hourly satellite-based data on pollutants such as aerosols, ozone, nitrogen dioxide, sulfur dioxide, and formaldehyde across Asia. Additionally, it has established the Pandora Asia Network (PAN), an advanced system of ground-based spectrometers deployed in 13 countries to validate satellite data with localized atmospheric measurements. This combination strengthens air quality assessments and informs emission control policies.

 

PAPGAPI supports capacity building and technology transfer to help national agencies interpret geospatial data and better manage air pollution monitoring and also fosters regional cooperation through expert meetings and knowledge sharing.

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Using Geostationary Earth Observation Satellite for Air Pollution Monito...
Using Geostationary Earth Observation Satellite for Air Pollution Monito...
GEMS L1 Overview of Air Pollution and its effect
GEMS L1 Overview of Air Pollution and its effect
2024
GEMS L2 Basic concepts of satellite observing air quality
GEMS L2 Basic concepts of satellite observing air quality
2024
GEMS L3 Satellite retrieval for monitoring air quality
GEMS L3 Satellite retrieval for monitoring air quality
2024
GEMS L4 Introduction to GEMS and download GEMS data
GEMS L4 Introduction to GEMS and download GEMS data
2024
GEMS L5 Pre-processing GEMS data using Python (1): Aerosol Optical Depth...
GEMS L5 Pre-processing GEMS data using Python (1): Aerosol Optical Depth...
2024
GEMS L6 Pre-processing GEMS data using Python (1): Aerosol Optical Depth...
GEMS L6 Pre-processing GEMS data using Python (1): Aerosol Optical Depth...
2024
GEMS L7 Pre-processing GEMS data using Python (2): Nitrogen dioxide
GEMS L7 Pre-processing GEMS data using Python (2): Nitrogen dioxide
2024
GEMS L8 Utilizing GEMS Application Tool (GEMSAT) (Part 1)
GEMS L8 Utilizing GEMS Application Tool (GEMSAT) (Part 1)
2024
GEMS L9 Part2 Utilizing GEMS Application Tool (GEMSAT) (Part 2)
GEMS L9 Part2 Utilizing GEMS Application Tool (GEMSAT) (Part 2)
2024
Assessment of Air Quality Remote Sensing in Thailand
Assessment of Air Quality Remote Sensing in Thailand
Assessment of Air Quality Remote Sensing in Cambodia
Assessment of Air Quality Remote Sensing in Cambodia
Assessment of Air Quality Remote Sensing in Indonesia
Assessment of Air Quality Remote Sensing in Indonesia
Assessment of Air Quality Remote Sensing in Lao People’s Democratic Repu...
Assessment of Air Quality Remote Sensing in Lao People’s Democratic Repu...
Assessment of Air Quality Remote Sensing in Mongolia
Assessment of Air Quality Remote Sensing in Mongolia
Assessment of Air Quality Remote Sensing in Philippines
Assessment of Air Quality Remote Sensing in Philippines
Assessment of Air Quality Remote Sensing in Viet Nam
Assessment of Air Quality Remote Sensing in Viet Nam
GEMS Data Training
GEMS Data Training
2021
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Wrap-Up Meeting of the Project on Building the Pan-Asia
Partnership for Geospatial Air Pollution information
Wrap-Up Meeting of the Project on Building the Pan-Asia Partnership for Geospatial Air Pollution information
Dec 12, 2024