An intercomparison of SEMARA high-resolution AOD and MODIS operational AODs DOI
Mozhgan Bagherinia,

Siamak Bodaghpour,

Neamat Karimi

et al.

Atmospheric Pollution Research, Journal Year: 2023, Volume and Issue: 15(3), P. 102023 - 102023

Published: Dec. 15, 2023

Language: Английский

Temporal variation of surface reflectance and cloud fraction used to identify background aerosol retrieval information over East Asia DOI

Sang Seo Park,

Ji-Eun Yu,

Hyunkwang Lim

et al.

Atmospheric Environment, Journal Year: 2023, Volume and Issue: 309, P. 119916 - 119916

Published: June 20, 2023

Language: Английский

Citations

1
Investigating the Effect of Relative Spectral Response on the Estimation of Atmospheric Parameters: A Case Study of Landsat 8 (OLI) and Sentinel 2 (MSI) DOI
Akhilesh Kumar, Manu Mehta

Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: 52(10), P. 2115 - 2122

Published: July 11, 2024

Language: Английский

Citations

0
Enhanced AOD Retrieval Using Machine Learning Algorithms and Driving Forces Analysis During COVID-19 Lockdown DOI

Lulu Si,

Caiyun Deng,

Ran Kang

et al.

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Journal Year: 2024, Volume and Issue: unknown, P. 5765 - 5769

Published: July 7, 2024

Language: Английский

Citations

0
Global evaluation of sentinel 2 level 2A Sen2Cor aerosol optical thickness retrievals DOI
Akhilesh Kumar, Manu Mehta

International Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 46(2), P. 728 - 744

Published: Oct. 30, 2024

The present study aims to conduct the first known comprehensive global evaluation of Aerosol Optical Thickness (AOT) retrievals derived from Sentinel 2 Sen2Cor algorithm between 2018 and 2022, using data over 400 AERONET stations. results indicate that tends underestimate AOT, especially at higher aerosol loadings. Although there appears be a good overall correlation (r = 0.57) with low RMSE (0.16) relative mean bias (RMB -2.46%) AOT datasets, regional analysis reveals significant variation in performance across regions, areas like Europe Americas exhibiting stronger correlations lower than others Indian subcontinent Southern Africa. Temporal also suggests an improvement performance, particularly capturing extreme values 2022. While elevation does not appear have any noticeable impact on estimation, slight variations could observed certain land cover types sparse vegetation permanent water bodies. Though improvements are certainly required geographical regions subcontinent, can, nevertheless, reliably used for studies urban or finer spatial resolution, Europe, Mainland U.S.A. East Asia.

Language: Английский

Citations

0
Retrieval of aerosol optical depth from satellite observations: Accuracy assessment, limitations, and usage recommendations over South Asia DOI
Muhammad Bilal, Alaa Mhawish, Md. Arfan Ali

et al.

Elsevier eBooks, Journal Year: 2022, Volume and Issue: unknown, P. 19 - 38

Published: Nov. 11, 2022

Language: Английский

Citations

2
Retrieval of High-Resolution Aerosol Optical Depth (AOD) using Landsat 8 imageries over different LULC classes over a City along Indo-Gangetic Plain, India DOI Creative Commons
Rohit Kumar Singh,

A. N. V. Satyanarayana,

Subrahmanya Hari Prasad Peri

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 3, 2023

Abstract Aerosol Optical Depth (AOD) serves as a crucial indicator for assessing regional air quality by quantifying aerosol levels in the atmosphere. While various satellite methods exist estimating AOD, spatial resolution of established AOD products is often limited. However, obtaining higher-resolution data essential gaining deeper understanding and urban pollution issues. To address this issue, we retrieved high-resolution over Kanpur (26.4499° N, 80.3319° E), located Indo-Gangetic Plain (IGP) region using Landsat 8 imageries. We have used imagery SEMARA algorithm, which combines SARA (Simplified Retrieval Algorithm) SREM Robust Surface Reflectance Estimation). Our approach leveraged green band 8, resulting an impressive 30 meters. This methodology was applied period from 2014 to 2022 rigorously validated with available AERONET observations. The good agreement high correlation coefficients (r) 0.997, low root mean squared error (RMSE) 0.035, bias (RMB) -4.91%. Furthermore, conducted comprehensive comparison downscaled MODIS (MCD19A2) across land classes cropped harvested agriculture cycle different use cover classes. proved be more effective retrieval on brighter surfaces within barren built-up categories period. holds great potential monitoring aerosols bright areas.

Language: Английский

Citations

0
An intercomparison of SEMARA high-resolution AOD and MODIS operational AODs DOI
Mozhgan Bagherinia,

Siamak Bodaghpour,

Neamat Karimi

et al.

Atmospheric Pollution Research, Journal Year: 2023, Volume and Issue: 15(3), P. 102023 - 102023

Published: Dec. 15, 2023

Language: Английский

Citations

0