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Improved retrieval of PM2.5 from satellite data products using non-linear methods

Environmental pollution (1987), 2013-11, Vol.182, p.417-423

2013

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Classification of dust days by satellite remotely sensed aerosol products

International journal of remote sensing, 2013-04, Vol.34 (8), p.2672-2688

2013

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Estimation of daily PM10 concentrations in Italy (2006–2012) using finely resolved satellite data, land use variables and meteorology

Environment international, 2017-02, Vol.99, p.234-244

2017

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Aerosol chemistry, transport, and climatic implications during extreme biomass burning emissions over the Indo-Gangetic Plain

Atmospheric chemistry and physics, 2018-10, Vol.18 (19), p.14197-14215

2018

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Insights into the long-term (2005–2021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone Monitoring Instrument (OMI)

Atmospheric chemistry and physics, 2024-09, Vol.24 (18), p.10363-10384

2024

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Satellite mapping of PM2.5 episodes in the wintertime San Joaquin Valley: a “static” model using column water vapor

Atmospheric chemistry and physics, 2020-04, Vol.20 (7), p.4379-4397

2020

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Gradient boosting machine learning to improve satellite-derived column water vapor measurement error

Atmospheric measurement techniques, 2020-09, Vol.13 (9), p.4669-4681

2020

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The development of a spatially resolved retrospective ensemble forecast model of West Nile virus in Long Island, New York

Environmental health perspectives. Supplements, 2020-10, Vol.2020 (1)

2020

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Impact of environmental attributes on the uncertainty in MAIAC/MODIS AOD retrievals: A comparative analysis

Atmospheric environment (1994), 2021-10, Vol.262, p.118659, Article 118659

2021

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Characteristics of the east Mediterranean dust variability on small spatial and temporal scales

Atmospheric environment (1994), 2015-11, Vol.120, p.51-60

2015

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Intercomparison of Aerosol Types Reported as Part of Aerosol Product Retrieval over Diverse Geographic Regions

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3667

2022

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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, 2019-04, Vol.224, p.12-28

2019

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Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables

Environmental science & technology, 2020-07, Vol.54 (13), p.7891-7900

2020

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Estimating daily PM2.5 and PM10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data

Atmospheric environment (1994), 2015-12, Vol.122, p.409-416

2015

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Vertical distribution of smoke aerosols over upper Indo-Gangetic Plain

Environmental pollution (1987), 2020-02, Vol.257, p.113377, Article 113377

2020

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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, 2020-07, Vol.54 (13), p.7891-7900

2020

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Assessment of PM2.5 concentrations over bright surfaces using MODIS satellite observations

Remote sensing of environment, 2015-06, Vol.163, p.180-185

2015

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Monthly analysis of PM ratio characteristics and its relation to AOD

Journal of the Air & Waste Management Association (1995), 2017-01, Vol.67 (1), p.27-38

2017

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Estimating daily PM 2.5 and PM 10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data

Atmospheric environment (1994), 2015-12, Vol.122, p.409-416

2015

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Estimation of daily PM 10 concentrations in Italy (2006-2012) using finely resolved satellite data, land use variables and meteorology

Environment international, 2017-02, Vol.99, p.234

2017

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Comparative performance of Four Statistical Models for predicting PM2.5 from Satellite Data

Environmental health perspectives. Supplements, 2013-09, Vol.2013 (1)

2013

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Improved retrieval of PM2.5 from satellite data products using non-linear methods

Classification of dust days by satellite remotely sensed aerosol products

Estimation of daily PM10 concentrations in Italy (2006–2012) using finely resolved satellite data, land use variables and meteorology

Aerosol chemistry, transport, and climatic implications during extreme biomass burning emissions over the Indo-Gangetic Plain

Insights into the long-term (2005–2021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone Monitoring Instrument (OMI)

Satellite mapping of PM2.5 episodes in the wintertime San Joaquin Valley: a “static” model using column water vapor

Gradient boosting machine learning to improve satellite-derived column water vapor measurement error

The development of a spatially resolved retrospective ensemble forecast model of West Nile virus in Long Island, New York

Impact of environmental attributes on the uncertainty in MAIAC/MODIS AOD retrievals: A comparative analysis

Characteristics of the east Mediterranean dust variability on small spatial and temporal scales

Intercomparison of Aerosol Types Reported as Part of Aerosol Product Retrieval over Diverse Geographic Regions

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

Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables

Estimating daily PM2.5 and PM10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data

Vertical distribution of smoke aerosols over upper Indo-Gangetic Plain

Estimation of High-Resolution PM 2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables

Assessment of PM2.5 concentrations over bright surfaces using MODIS satellite observations

Monthly analysis of PM ratio characteristics and its relation to AOD

Estimating daily PM 2.5 and PM 10 across the complex geo-climate region of Israel using MAIAC satellite-based AOD data

Estimation of daily PM 10 concentrations in Italy (2006-2012) using finely resolved satellite data, land use variables and meteorology

Comparative performance of Four Statistical Models for predicting PM2.5 from Satellite Data

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