One of the environmental problems that are a threat to humans today is air pollution. Air pollution can cause one in nine deaths and kill about three million people each year. Air pollution can originate naturally, such as volcanic eruptions, and unnaturally like anthropogenic. Some of the air pollution gases include SO2, NO2, and CO. Air pollution data can be obtained from remote sensing data especially from Sentinel-5P satellite. Air-RGB modelling on the three pollutant gases can produce an indication of the dominant pollutant gas in an area. The way to do Air-RGB modelling is to form three scenarios, namely red for CO, green for NO2, and blue for SO2. Air-RGB data is combined with air pollution charts based on latitude longitude to see trends in air pollution based on latitude and longitude in an area. In 34 provincial capitals in Indonesia, there was a ternary scatter to see the trend of air pollution gases. The results of the study were combined with secondary data to support the causes of decreasing and increasing air pollution. Those pollutions included forest fires, hotspots, volcanic eruptions, population density, and other data related to human activities. This research is expected to be a consideration for the government in handling air pollution in Indonesia.
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7 December 2023
PROCEEDINGS OF THE 4TH TARUMANAGARA INTERNATIONAL CONFERENCE OF THE APPLICATIONS OF TECHNOLOGY AND ENGINEERING (TICATE) 2021
5–6 August 2021
Jakarta, Indonesia
Research Article|
December 07 2023
Assessing Indonesia air pollution using Sentinel-5P remote sensing air-RGB model
Tania Septi Anggraini;
Tania Septi Anggraini
a)
1
Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung
, Bandung 40132, Indonesia
2
Center for Remote Sensing, Institut Teknologi Bandung
, Bandung 40132, Indonesia
a)Corresponding author: [email protected]
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Anjar Dimara Sakti;
Anjar Dimara Sakti
1
Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung
, Bandung 40132, Indonesia
2
Center for Remote Sensing, Institut Teknologi Bandung
, Bandung 40132, Indonesia
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Nani Cholianawati;
Nani Cholianawati
3
Center for Atmospheric Science and Technology the National Aeronautics and Space Institute
, Bandung 40173, Indonesia
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Ketut Wikantika
Ketut Wikantika
1
Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung
, Bandung 40132, Indonesia
2
Center for Remote Sensing, Institut Teknologi Bandung
, Bandung 40132, Indonesia
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Tania Septi Anggraini
1,2,a)
Anjar Dimara Sakti
1,2
Nani Cholianawati
3
Ketut Wikantika
1,2
1
Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung
, Bandung 40132, Indonesia
2
Center for Remote Sensing, Institut Teknologi Bandung
, Bandung 40132, Indonesia
3
Center for Atmospheric Science and Technology the National Aeronautics and Space Institute
, Bandung 40173, Indonesia
a)Corresponding author: [email protected]
AIP Conf. Proc. 2680, 020125 (2023)
Citation
Tania Septi Anggraini, Anjar Dimara Sakti, Nani Cholianawati, Ketut Wikantika; Assessing Indonesia air pollution using Sentinel-5P remote sensing air-RGB model. AIP Conf. Proc. 7 December 2023; 2680 (1): 020125. https://doi.org/10.1063/5.0128384
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