Related references
Note: Only part of the references are listed.LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion
Kaixu Bai et al.
EARTH SYSTEM SCIENCE DATA (2022)
Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models
Qingyang Xiao et al.
ATMOSPHERIC ENVIRONMENT (2021)
Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model
Tingting Jiang et al.
ATMOSPHERIC RESEARCH (2021)
Ground PM2.5 prediction using imputed MAIAC AOD with uncertainty quantification
Qiang Pu et al.
ENVIRONMENTAL POLLUTION (2021)
High-Resolution Spatiotemporal Modeling for Ambient PM2.5 Exposure Assessment in China from 2013 to 2019
Conghong Huang et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2021)
A sparse representation-based fusion model for improving daily MODIS C6.1 aerosol products on a 3 km grid
Yongquan Zhao et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)
Satellite-derived 1-km estimates and long-term trends of PM2.5 concentrations in China from 2000 to 2018
Qingqing He et al.
ENVIRONMENT INTERNATIONAL (2021)
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
Jing Wei et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction
Behzad Kianian et al.
REMOTE SENSING (2021)
Characterizing urban land changes of 30 global megacities using nighttime light time series stacks
Qiming Zheng et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
Spatiotemporal assessment of PM2.5 concentrations and exposure in China from 2013 to 2017 using satellite-derived data
Qingqing He et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005-2016
Xia Meng et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Application of a Partial Convolutional Neural Network for Estimating Geostationary Aerosol Optical Depth Data
Yannic Lops et al.
GEOPHYSICAL RESEARCH LETTERS (2021)
High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China
Lianfa Li
REMOTE SENSING (2021)
Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling
Lianfa Li et al.
REMOTE SENSING OF ENVIRONMENT (2020)
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5
Lianfa Li
REMOTE SENSING (2020)
Stronger policy required to substantially reduce deaths from PM2.5 pollution in China
Huanbi Yue et al.
NATURE COMMUNICATIONS (2020)
Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2.5 Levels
Zhao-Yue Chen et al.
REMOTE SENSING (2020)
A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain
Rochelle Schneider et al.
REMOTE SENSING (2020)
Using gap-filled MAIAC AOD and WRF-Chem to estimate daily PM2.5 concentrations at 1 km resolution in the Eastern United States
Daniel L. Goldberg et al.
ATMOSPHERIC ENVIRONMENT (2019)
Spatiotemporal continuous estimates of PM2.5 concentrations in China, 2000-2016: A machine learning method with inputs from satellites, chemical transport model, and ground observations
Tao Xue et al.
ENVIRONMENT INTERNATIONAL (2019)
Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013-2015, using a spatiotemporal land-use random-forest model
Massimo Stafoggia et al.
ENVIRONMENT INTERNATIONAL (2019)
Impacts of snow and cloud covers on satellite-derived PM2.5 levels
Jianzhao Bi et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Spatiotemporal patterns of aerosol optical depth throughout China from 2003 to 2016
Qingqing He et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
High-resolution daily AOD estimated to full coverage using the random forest model approach in the Beijing-Tianjin-Hebei region
Chen Zhao et al.
ATMOSPHERIC ENVIRONMENT (2019)
A Long-Term Historical Aerosol Optical Depth Data Record (1982-2011) Over China From AVHRR
Ling Gao et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations
Linlu Mei et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)
A 40,000-year record of aridity and dust activity at Lop Nur, Tarim Basin, northwestern China
Jian Liu et al.
QUATERNARY SCIENCE REVIEWS (2019)
MODIS AOD sampling rate and its effect on PM2.5 estimation in North China
Zijue Song et al.
ATMOSPHERIC ENVIRONMENT (2019)
Rapid improvement of PM2.5 pollution and associated health benefits in China during 2013-2017
Tao Xue et al.
SCIENCE CHINA-EARTH SCIENCES (2019)
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide
Jie Chen et al.
ENVIRONMENT INTERNATIONAL (2019)
Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation
Yuan Wang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Evaluation of MAIAC aerosol retrievals over China
Zhaoyang Zhang et al.
ATMOSPHERIC ENVIRONMENT (2019)
Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China
Ning Liu et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2019)
Effects of air pollution control policies on PM2.5 pollution improvement in China from 2005 to 2017: a satellite-based perspective
Zongwei Ma et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2019)
The CAMS reanalysis of atmospheric composition
Antje Inness et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2019)
Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation
Jing Yang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017
Jeffrey D. Stanaway et al.
LANCET (2018)
Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations - Part 2: AOD time series for 1995-2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations
Larisa Sogacheva et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2018)
MODIS Collection 6 MAIAC algorithm
Alexei Lyapustin et al.
ATMOSPHERIC MEASUREMENT TECHNIQUES (2018)
Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach
Tongwen Li et al.
GEOPHYSICAL RESEARCH LETTERS (2017)
Full-coverage high-resolution daily PM2.5 estimation using MAIAC AOD in the Yangtze River Delta of China
Qingyang Xiao et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Daily estimation of ground-level PM2.5 concentrations at 4 km resolution over Beijing-Tianjin-Hebei by fusing MODIS AOD and ground observations
Baolei Lv et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States
Chenghao Wang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013
Michael Brauer et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2016)
Can MODIS AOD be employed to derive PM2.5 in Beijing-Tianjin-Hebei over China?
Xiaoyan Ma et al.
ATMOSPHERIC RESEARCH (2016)
Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States
Qian Di et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2016)
Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors
Aaron van Donkelaar et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2016)
Estimation of long-term population exposure to PM2.5 for dense urban areas using 1-km MODIS data
Changqing Lin et al.
REMOTE SENSING OF ENVIRONMENT (2016)
A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products
H. Xu et al.
ATMOSPHERIC ENVIRONMENT (2015)
Comparison and evaluation of the MODIS Collection 6 aerosol data in China
Minghui Tao et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2015)
Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels
Chao Yu et al.
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY (2015)
Global aerosol change in the last decade: An analysis based on MODIS data
K. B. Mao et al.
ATMOSPHERIC ENVIRONMENT (2014)
A satellite-based geographically weighted regression model for regional PM2.5 estimation over the Pearl River Delta region in China
Weize Song et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Mechanism for the formation of the January 2013 heavy haze pollution episode over central and eastern China
Wang YueSi et al.
SCIENCE CHINA-EARTH SCIENCES (2014)
Statistical data fusion of multi-sensor AOD over the Continental United States
Sweta Jinnagara Puttaswamy et al.
GEOCARTO INTERNATIONAL (2014)
Spatial scales of pollution from variable resolution satellite imaging
Alexandra A. Chudnovsky et al.
ENVIRONMENTAL POLLUTION (2013)
MODIS 3 km aerosol product: algorithm and global perspective
L. A. Remer et al.
ATMOSPHERIC MEASUREMENT TECHNIQUES (2013)
A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions
A. Chudnovsky et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2013)
Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatiotemporal PM2.5 Exposures In The Mid-Atlantic States
Itai Kloog et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2012)
Retrieval of aerosol optical depth over bright targets in the urban areas of North China during winter
Li ShenShen et al.
SCIENCE CHINA-EARTH SCIENCES (2012)
Spatio-temporal variation trends of satellite-based aerosol optical depth in China during 1980-2008
Jian-Ping Guo et al.
ATMOSPHERIC ENVIRONMENT (2011)
Health effects of fine particulate air pollution: Lines that connect
C. Arden Pope et al.
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (2006)
A satellite view of aerosols in the climate system
YJ Kaufman et al.
NATURE (2002)