MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison

Atmospheric Environment, Journal Year: 2018, Volume and Issue: 201, P. 428 - 440

Published: Dec. 13, 2018

Language: Английский

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Long-term aerosol climatology over Indo-Gangetic Plain: Trend, prediction and potential source fields

Atmospheric Environment, Journal Year: 2018, Volume and Issue: 180, P. 37 - 50

Published: Feb. 20, 2018

Language: Английский

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Comparison and evaluation of MODIS Multi-angle Implementation of Atmospheric Correction (MAIAC) aerosol product over South Asia

Remote Sensing of Environment, Journal Year: 2019, Volume and Issue: 224, P. 12 - 28

Published: Feb. 9, 2019

Language: Английский

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Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 264, P. 112617 - 112617

Published: July 27, 2021

Language: Английский

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Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives

Critical Reviews in Environmental Science and Technology, Journal Year: 2019, Volume and Issue: 50(16), P. 1640 - 1725

Published: Nov. 4, 2019

Aerosol optical depth (AOD) is widely recognized as a critical indicator in understanding atmospheric physics and regional air quality because of its capability for quantifying aerosol loading the atmosphere. Retrieving AOD from space-borne sensors' observations has become primary technique monitoring on large scale. There currently renewed interest designing new satellite sensors developing more advanced retrieval algorithms to measure space order better quantify concentrations particulate matters (PMs) management, environmental health assessment, climate change studies. However, retrieving high-resolution at varying scales still challenging task due low signal-to-noise ratio sensing, algorithmic synthesis constraints, downscaling issues, data gaps resulting adverse impacts such cloud contamination. Current state-of-the-art technologies do not permit delicate urban-scale studies based appropriate AOD-PMs relationships. This review paper provides holistic view major advances measurements, elucidates limitations current products, presents challenges with respect derivation AOD, highlights perspectives regarding possible improvements satellite-based estimation.

Language: Английский

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Validation of Himawari-8 aerosol optical depth retrievals over China

Atmospheric Environment, Journal Year: 2018, Volume and Issue: 199, P. 32 - 44

Published: Nov. 13, 2018

Language: Английский

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Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 259, P. 112410 - 112410

Published: April 8, 2021

The present study summarizes two decades (2000–2019) of climatology and trends in aerosol loading optical properties using a high spatial resolution data obtained from NASA's MODIS MAIAC MISR products supplemented by moderate OMI sensor over South Asia (SA). AOD showed good agreement against AERONET with 68.68% the retrievals falling within expected error Pearson's correlation coefficient (R = 0.83). 20 years geometric mean revealed higher aerosols Indo-Gangetic Plain (IGP) Eastern coast India 30% to 44% compared entire SA. highest under cloud-free conditions was noted during monsoon season, followed pre-monsoon, post-monsoon, winter. contribution coarse-mode (cAOD) mainly natural emission small-mode (sAOD) local anthropogenic emissions are main driver pre-monsoon seasons. Besides, presence humidity season favors hygroscopic growth particles leads values resolutions MODIS/MAIAC enabled identification previously unobserved hotspots Bihar, West Bengal, eastern Indian coastal state Odisha, which is dominated small particles. contributions smaller total were found be post-monsoon winter most states India, Nepal, Bangladesh. In contrast, coarser Pakistan Smaller predominantly retrieved mining industries, including Jharkhand Odisha. A typical dominance absorbing carbonaceous also northwestern region IGP otherwise affected mixed dust statistically significant positive temporal trend observed for whole period, SA region, influenced increase Urban/industrial weakly contributor similarly Central East states. Overall, recent advancements satellite-based potential identify constrain types across highly polluted region.

Language: Английский

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Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces

Atmospheric Environment, Journal Year: 2018, Volume and Issue: 200, P. 280 - 301

Published: Dec. 20, 2018

Language: Английский

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Estimation of High-Resolution PM_2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables

Environmental Science & Technology, Journal Year: 2020, Volume and Issue: 54(13), P. 7891 - 7900

Published: June 3, 2020

Very high spatially resolved satellite-derived ground-level concentrations of particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) have multiple potential applications, especially in air quality modeling and epidemiological climatological research. Satellite-derived aerosol optical depth (AOD) columnar water vapor (CWV), meteorological parameters, land use data were used as variables within the framework a linear mixed effect model (LME) random forest (RF) to predict daily PM2.5 at 1 km × grid resolution across Indo-Gangetic Plain (IGP) South Asia. The RF exhibited superior performance higher accuracy compared LME model, better cross-validated explained variance (R2 = 0.87) lower relative prediction error (RPE 24.5%). revealed improved metrics for increasing averaging periods, from weekly, monthly, seasonal, annual means, which supported its estimating exposure IGP varying temporal scales (i.e., both short long terms). RF-based estimates showed levels over middle IGP, mean exceeding 110 μg/m3. As seasons, winter was most polluted season, while monsoon cleanest. Spatially, poorer upper IGP. In winter, experienced very poor quality, >170

Language: Английский

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MODIS high-resolution MAIAC aerosol product: Global validation and analysis

Atmospheric Environment, Journal Year: 2021, Volume and Issue: 264, P. 118684 - 118684

Published: Aug. 20, 2021

Language: Английский

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