A novel big data mining framework for reconstructing large-scale daily MAIAC AOD data across China from 2000 to 2020

Ground PM2.5 prediction using imputed MAIAC AOD with uncertainty quantification

(2021) Qiang Pu et al.   ENVIRONMENTAL POLLUTION

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

(2021) Wenmin Qin et al.   ATMOSPHERIC ENVIRONMENT

Spatiotemporal trends of PM2.5 concentrations in central China from 2003 to 2018 based on MAIAC-derived high-resolution data

(2020) Qingqing He et al.   ENVIRONMENT INTERNATIONAL

Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models

(2020) Seohui Park et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Progress of Air Pollution Control in China and Its Challenges and Opportunities in the Ecological Civilization Era

(2020) Xi Lu et al.   Engineering

Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

(2020) Christopher J L Murray et al.   LANCET

Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach

(2020) Di Long et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2.5 Levels

(2020) Zhao-Yue Chen et al.   Remote Sensing

Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models

(2020) Qingyang Xiao et al.   ATMOSPHERIC ENVIRONMENT

Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke

(2020) Lianfa Li et al.   ENVIRONMENT INTERNATIONAL

Handling Missing Data in Large-Scale MODIS AOD Products Using a Two-Step Model

(2020) Yufeng Chi et al.   Remote Sensing

Solar Brightening/Dimming over China’s Mainland: Effects of Atmospheric Aerosols, Anthropogenic Emissions, and Meteorological Conditions

(2020) Hejin Fang et al.   Remote Sensing

Evaluation of MAIAC aerosol retrievals over China

(2019) Zhaoyang Zhang et al.   ATMOSPHERIC ENVIRONMENT

Air pollution intervention and life-saving effect in China

(2019) Bin Zou et al.   ENVIRONMENT INTERNATIONAL

Predicting ground-level PM2.5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach

(2019) Xintong Li et al.   ENVIRONMENTAL POLLUTION

Extreme gradient boosting model to estimate PM2.5 concentrations with missing-filled satellite data in China

(2019) Zhao-Yue Chen et al.   ATMOSPHERIC ENVIRONMENT

MODIS AOD sampling rate and its effect on PM2.5 estimation in North China

(2019) Zijue Song et al.   ATMOSPHERIC ENVIRONMENT

Spatio-temporal variations and trends of MODIS C6.1 Dark Target and Deep Blue merged aerosol optical depth over China during 2000–2017

(2019) Guangqi Xie et al.   ATMOSPHERIC ENVIRONMENT

Anthropogenic and meteorological drivers of 1980–2016 trend in aerosol optical and radiative properties over the Yangtze River Basin

(2019) Lijie He et al.   ATMOSPHERIC ENVIRONMENT

Dynamic assessment of PM2.5 exposure and health risk using remote sensing and geo-spatial big data

(2019) Yimeng Song et al.   ENVIRONMENTAL POLLUTION

Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation

(2019) Yuan Wang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mitigating MODIS AOD non-random sampling error on surface PM2.5 estimates by a combined use of Bayesian Maximum Entropy method and linear mixed-effects model

(2019) Disong Fu et al.   Atmospheric Pollution Research

Predicting monthly high-resolution PM 2.5 concentrations with random forest model in the North China Plain

(2018) Keyong Huang et al.   ENVIRONMENTAL POLLUTION

Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

(2018) Qiang Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Improved Hourly Estimates of Aerosol Optical Thickness Using Spatiotemporal Variability Derived From Himawari-8 Geostationary Satellite

(2018) Maki Kikuchi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud

(2018) Chao Zeng et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Satellite-based mapping of daily high-resolution ground PM 2.5 in China via space-time regression modeling

(2018) Qingqing He et al.   REMOTE SENSING OF ENVIRONMENT

Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation

(2018) Jing Yang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

MAIAC-based long-term spatiotemporal trends of PM 2.5 in Beijing, China

(2018) Fengchao Liang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A nonparametric approach to filling gaps in satellite-retrieved aerosol optical depth for estimating ambient PM2.5 levels

(2018) Ruixin Zhang et al.   ENVIRONMENTAL POLLUTION

Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective

(2018) Shaojian Wang et al.   JOURNAL OF CLEANER PRODUCTION

Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth

(2018) Lianfa Li et al.   REMOTE SENSING OF ENVIRONMENT

Responses of PM2.5 pollution to urbanization in China

(2018) Xiaomin Wang et al.   ENERGY POLICY

Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM2.5 data

(2018) Kaixu Bai et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm

(2017) Yang Wang et al.   Remote Sensing

Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States

(2016) J. Belle et al.   Remote Sensing

A method to estimate missing AERONET AOD values based on artificial neural networks

(2015) Luis E. Olcese et al.   ATMOSPHERIC ENVIRONMENT

Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing

(2014) Zongwei Ma et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Statistical data fusion of multi-sensor AOD over the Continental United States

(2013) Sweta Jinnagara Puttaswamy et al.   Geocarto International