Estimating PM10 concentrations in the main routes of Hanoi, Vietnam by using VNREDSAT-1 data

Estimation of Particulate matter 10 micrometers (PM10) from remote sensing data is a practical approach for long-term monitoring quality of air pollution, which assist the urban management and environmental sustainability. This study presents the use of VNREDSat-1 image data for retrieving environmental parameters to estimate the spatial variability of PM10 in Hanoi city, Vietnam. linear regression models were performed by using input from field survey data acquired on May, 7th, 2013. In total, 14 points were collected and 10 points were used in the regression models; the remaining 4 points were used to validate the results. Quality control was conducted by comparing the coefficient of determination (R squared - R2) of the best-fit model to estimate the PM10 accurately. The correlation coefficient of this proposed model archived 0.943 and RMSE was 52 µg/m3. The study area is the main routes of Hanoi, Vietnam where have a high traffic density and high air pollution. This approach is an effective way to use satellite data in estimating PM10 in urban regions. © 2020 40th Asian Conference on Remote Sensing, ACRS 2019: "Progress of Remote Sensing Technology for Smart Future". All rights reserved.