TY - JOUR
T1 - Characterizing NO2 in Indonesia Using Satellite Ozone Monitoring Instruments
AU - Darmawan, Trio Bagoes
AU - Syafei, Arie Dipareza
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/5/31
Y1 - 2019/5/31
N2 - Indonesia suffers from high annual vehicle ownership growth, resulting in worsening urban air quality. Nitrogen dioxide (NO2) is one of the combustion products of vehicles which needs to be monitored. Unfortunately, few cities have air quality monitoring stations, thus there is an immediate need to tackle this issue. One way to do so is by utilizing remote sensing via satellite. In this study, we utilized a satellite OMI (Ozone Monitoring Instrument) to read patterns in gaseous NO2 concentrations. This work was assisted by a Geographical Information System (GIS) program, which used the results from the satellite to create images. Data validation was conducted by comparing the results from the satellite images in the form of color pixels with the results obtained from monitoring stations in Jakarta and Surabaya via linear regression. The results showed a weak correlation. Further research should introduce additional variables to improve accuracy.
AB - Indonesia suffers from high annual vehicle ownership growth, resulting in worsening urban air quality. Nitrogen dioxide (NO2) is one of the combustion products of vehicles which needs to be monitored. Unfortunately, few cities have air quality monitoring stations, thus there is an immediate need to tackle this issue. One way to do so is by utilizing remote sensing via satellite. In this study, we utilized a satellite OMI (Ozone Monitoring Instrument) to read patterns in gaseous NO2 concentrations. This work was assisted by a Geographical Information System (GIS) program, which used the results from the satellite to create images. Data validation was conducted by comparing the results from the satellite images in the form of color pixels with the results obtained from monitoring stations in Jakarta and Surabaya via linear regression. The results showed a weak correlation. Further research should introduce additional variables to improve accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85067057398&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/284/1/012011
DO - 10.1088/1755-1315/284/1/012011
M3 - Conference article
AN - SCOPUS:85067057398
SN - 1755-1307
VL - 284
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012011
T2 - 5th International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring 2018, LISAT-FSEM 2018
Y2 - 6 November 2018 through 7 November 2018
ER -