
Analysing PM2.5 concentrations using MODIS and monitoring measurements for Shanghai area
Author(s) -
Lizhi Miao,
Yi Wen,
Yanhui Ren
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1732/1/012104
Subject(s) - moderate resolution imaging spectroradiometer , environmental science , satellite , remote sensing , aerosol , correlation coefficient , spectroradiometer , meteorology , geography , reflectivity , mathematics , physics , statistics , astronomy , optics
Analyzing PM 2.5 concentrations from remote sensing images and surface measurements using the model of aerosol optical depth (AOD) is a popular method to evaluate the exposure to PM2.5 in some geographic regions. For analyzing the ground-level PM 2.5 density on a daily basis using satellite-derived AOD in Shanghai area, we use Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) to obtain the AOD values at 3-km resolution by dark pixel. However, AOD values are missing in many regions caused by processing method and imaging process. Interpolating the AOD values to extend the coverage area of MODIS and integrating the surface measurements, we filter the AOD values and PM2.5 measurements. The analysis results indicate that the correlation coefficient is 0.54 in Shanghai area. Satellite derived mean PM 2.5 for Shanghai was 42.69 ug/m 3 during the study period (Jan 2016 to Dec. 2018), whereas mean PM2.5 is highest in winter period (61.68 ug/m 3 ), and lowest in autumn period (31.4 ug/m 3 ) over study period in study area.