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Integrated PM2.5 Estimation Using Satellite Images, Pollution Station Data, Meteorological Data and Artificial Neural Network (Case Study: Tehran City)By Hamid Valipoori Goodarzi, Milad Zand Salimi, Mehdi Sherafat
Abstract: ABSTRACTNowadays, the use of remote sensing to monitor airborne particulates by spatial continuity is made possible by the MODIS Sensor Aerosol Optical Depth (AOD) products. In this study, a simplified aerosol estimation model (SARA) was used to estimate the aerosol optical depth. For this purpose, the MODIS sensor data as inputs to predict PM2.5 near the surface, aerosol optical depth data and meteorological data (wind speed and direction, air temperature, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 38–50 Read article →