The surge in urbanization and industrialization is majorly contributing to ambient air pollution, predominantly in terms of particulate emissions. Human health is highly susceptible to the particles suspended in the air due to their lightweight and small size (≤ 2.5 μm), called atmospheric aerosols. In India, insufficient ground-based instruments hinder continuous aerosol monitoring. However, remote sensing offers earth imagery for in-depth analysis of air quality and weather parameters. In the present study, an attempt is made to retrieve the high-resolution (30 m) AOT using Landsat 8 Operational Land Imager (L8-OLI) imagery for Pune, Maharashtra, from the years 2014 to 2021. For the atmospheric corrections and better spatiotemporal resolution, the dark target spectrum-based Image Corrections for Atmospheric Effects (iCOR) algorithm was executed. The year 2021 showed the highest mean AOT value at the Pashan location (18.537° N, 73.805° E) in Pune, India. Also, seasonal analysis (winter and summer) indicates that the mean AOT in the winter gradually increases every year. The AOT retrieved using L8-OLI with iCOR and AOT retrieved from Aerosol Robotic Network (AERONET) in situ monitoring station (± 30 min) at 440 nm showed R² = 0.76, r = 0.83, and RMSE = 0.1012. From this, it is summarized that for L8-OLI images, the iCOR algorithm performs well for the atmospheric correction by retrieving AOT at high spatial resolution with minimum cloud cover.

城市化和工业化的激增是造成环境空气污染的主要原因，主要表现为颗粒物排放。由于悬浮在空气中的颗粒物（称为大气气溶胶）重量轻且尺寸小（≤ 2.5 μm），人类健康极易受到悬浮颗粒物的影响。在印度，地面仪器不足阻碍了持续的气溶胶监测。然而，遥感提供地球图像来深入分析空气质量和天气参数。在本研究中，尝试使用 Landsat 8 操作陆地成像仪 (L8-OLI) 图像检索马哈拉施特拉邦浦那 2014 年至 2021 年的高分辨率 (30 m) AOT。时空分辨率，执行基于暗目标光谱的大气效应图像校正（iCOR）算法。2021 年，印度浦那的 Pashan 位置（北纬 18.537°，东经 73.805°）的平均 AOT 值最高。此外，季节分析（冬季和夏季）表明冬季的平均 AOT 每年逐渐增加。使用带有 iCOR 的 L8-OLI 检索到的 AOT 以及从气溶胶机器人网络 (AERONET) 原位监测站（± 30 分钟）在 440 nm 检索到的 AOT 显示R ²  = 0.76、r  = 0.83 和 RMSE = 0.1012。由此可见，对于L8-OLI影像，iCOR算法通过以最小云量覆盖的高空间分辨率反演AOT，在大气校正方面表现良好。