Estimating Spatiotemporal Aerosol Index between MODIS and Sentinel 5 in Medan City

Abstract

Abstract In this paper, long-term variability and spatially contiguous aerosols were primarily responsible for air pollution in Medan, Indonesia. Medan air quality is become more threatening in the last few years. Estimating the most polluted and vulnerable to climate change, ambient aerosol, can control the adverse effects of poor air quality and negative impact on human health (e.g., asthma). This study estimates algorithmic and analytical approaches that compared Aerosol Optical Depth (AOD) data from MODIS (Moderate-Resolution Imaging Spectroradiometer) in a series of MCD19A2 at 0.55 microns and Absorbing Aerosol Index (AAI) from Sentinel-5P in variations of 0.34 microns and 0.380 microns wavelengths. High-temporal-resolution imagery is projected based on wavelength-dependent changes in light interacting with aerosol particles in the atmosphere from 2020 to 2023. Results of the comparison between the different aerosol index products are derived from growth values in 58.81 percent of AOD in the area over Medan city, indicating a relatively hazy atmosphere or heavy pollution in 2023, exceeding the aerosol index total value increase of 45.24 percent of AAI amount during 2020 until 2023. Overall, highlights of aerosol estimation indicate that the seasonal and location-specific would exacerbate serious problems over Medan.