IDENTIFICATION OF PM10 AIR POLLUTION DISTRIBUTION USING SATELLITE LANDSAT IMAGES IN BANDUNG, INDONESIA

Novita Dewi; Rika Hernawati; Soni Darmawan

doi:10.24895/SNG.2019.4-0.1095

IDENTIFICATION OF PM10 AIR POLLUTION DISTRIBUTION USING SATELLITE LANDSAT IMAGES IN BANDUNG, INDONESIA

Novita Dewi, Rika Hernawati, Soni Darmawan

Abstract

Population, one of the harmful pollutants for the health is PM10 (Particulate Matter 10) because its size is less than 10 μm which can penetrate through the deepest parts of the lungs. The study of Particulate Matter (PM) concentrations is usually based on spatial data and temporal data series determined at the location of air pollution monitoring stations which are only effective in small spaces with associated observer stations, and it can’t provide the spatial distribution obtained from Particulate Matter (PM) in a large area. Measurement
of pollutants in a large area can be done using satellite imagery. This research allows determining the distribution of PM10 air pollution in Bandung using Landsat8 satellite images and PM10 concentration values
obtained from Air Quality Monitoring System (AQMS) for validation with the field measurement, so as the distribution of PM10 is expected to be correctly identified. The stages implementation includes geometric
correction, radiometric calibration, masking, and input the algorithm of PM10 to get the concentration value. The results showed that the estimation of the distribution of PM10 through satellite imagery was an efficient and suitable technique for the study area.

Keywords

Landsat; PM10; remote sensing; air quality

Full Text:

PDF

References

Akimoto, H. (2003). Global Air Quality and Pollution. Science, 1716-1719.

BPLH. (2019). Air Quality Monitoring System (AQMS). Acces at web: http://aqms.bandung.go.id/ on June 25, 2019.

Boediono, and Koster, W. (2001). Theory and Application Statistic and Probabilty. Bandung: PT. Remaja Rosdakarya.

Directorate Air Pollutan Prevention. (2018). Annual Report Directorate Air Pollutant Prevention. Jakarta.

Mukhtar, R., Panjaitan, E. H., Wahyudi, H., Santoso, M., & Kurniawati, S. (2013). Komponen Kimia PM2,5 dan PM10 di Udara Ambien di Serpong- Tangerang. Jurnal Ecolab, 7(1).

Nugroho, D. S., & Syaohid, E. (2015). Strategi Peningkatan Kualitas Empat Atribut Green City di Kecamatan Bandung Wetan Kota Bandung. Jurnal Perencanaan Wilayah dan Kota.

Retalis, A., Cartalis, C., & Athanassious, E. (1999). Assesment of the Distribution of Aerosols in the Area of Athens with the Use of Landsat Thematic Mapper Data. Int J Remote Sensing, 20, 939-945.

Saleh, S. A., & Hasan, G. (2014). Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image. Journal of Remote Sensing & GIS, 3(2), 1.

Ung, A., Wald, L., Ranchin, T., Weber, C., Hirsch, J., & dkk. (2001). Satellite data for Air Pollution Mapping over a City. Virtual Stations.

Wald, L., & Baleynaud, J. (1999). Observed Air Quality Over City of Nantes by Means of Landsat Thermal Infrared Data. International Journal of Remote Sensing, 20, 947-959.

DOI: http://dx.doi.org/10.24895/SNG.2019.4-0.1095