Novita Dewi, Rika Hernawati, Soni Darmawan


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.


Landsat; PM10; remote sensing; air quality

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