23.2.22.1.7 Pollution, Particulate, PM2.5, PM10

Chapter Contents (Back)
Pullution. Particulates. PM2.5. More General:
See also Atmospheric, Aerosols, Aerosol Optical Depth, Measurements, Air Quality, Remote Sensing. Larger particles:
See also Atmospheric, Dust, Dust Storms, Volcanic Ash, Remote Sensing.

Li, L.L.[Li-Li], Yang, J.X.[Jing-Xue], Wang, Y.P.[Yun-Peng],
Retrieval of High-Resolution Atmospheric Particulate Matter Concentrations from Satellite-Based Aerosol Optical Thickness over the Pearl River Delta Area, China,
RS(7), No. 6, 2015, pp. 7914.
DOI Link 1507
BibRef

You, W.[Wei], Zang, Z.L.[Zeng-Liang], Zhang, L.F.[Li-Feng], Li, Y.[Yi], Pan, X.B.[Xiao-Bin], Wang, W.Q.[Wei-Qi],
National-Scale Estimates of Ground-Level PM2.5 Concentration in China Using Geographically Weighted Regression Based on 3 km Resolution MODIS AOD,
RS(8), No. 3, 2016, pp. 184.
DOI Link 1604
BibRef

Bai, Y.[Yang], Wu, L.X.[Li-Xin], Qin, K.[Kai], Zhang, Y.F.[Yu-Feng], Shen, Y.Y.[Yang-Yang], Zhou, Y.[Yuan],
A Geographically and Temporally Weighted Regression Model for Ground-Level PM2.5 Estimation from Satellite-Derived 500 m Resolution AOD,
RS(8), No. 3, 2016, pp. 262.
DOI Link 1604
BibRef

Liu, C.J.[Ching-Ju], Liu, C.Y.[Chian-Yi], Mong, N.T.[Ngoc Thi], Chou, C.C.K.[Charles C. K.],
Spatial Correlation of Satellite-Derived PM2.5 with Hospital Admissions for Respiratory Diseases,
RS(8), No. 11, 2016, pp. 914.
DOI Link 1612
BibRef

Xue, T.[Tao], Zheng, Y.X.[Yi-Xuan], Geng, G.N.[Guan-Nan], Zheng, B.[Bo], Jiang, X.J.[Xu-Jia], Zhang, Q.[Qiang], He, K.B.[Ke-Bin],
Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Jiang, M.[Man], Sun, W.W.[Wei-Wei], Yang, G.[Gang], Zhang, D.F.[Dian-Fa],
Modelling Seasonal GWR of Daily PM2.5 with Proper Auxiliary Variables for the Yangtze River Delta,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Wang, W.[Wei], Mao, F.Y.[Fei-Yue], Du, L.[Lin], Pan, Z.X.[Zeng-Xin], Gong, W.[Wei], Fang, S.H.[Sheng-Hui],
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing-Tianjin-Hebei in China,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Li, S.[Shuang], Zhai, L.[Liang], Zou, B.[Bin], Sang, H.[Huiyong], Fang, X.[Xin],
A Generalized Additive Model Combining Principal Component Analysis for PM2.5 Concentration Estimation,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Habibi, R.[Roya], Alesheikh, A.A.[Ali Asghar], Mohammadinia, A.[Ali], Sharif, M.[Mohammad],
An Assessment of Spatial Pattern Characterization of Air Pollution: A Case Study of CO and PM2.5 in Tehran, Iran,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710
BibRef

Zhang, X.[Xiya], Hu, H.B.[Hai-Bo],
Improving Satellite-Driven PM2.5 Models with VIIRS Nighttime Light Data in the Beijing-Tianjin-Hebei Region, China,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Qu, Y.W.[Ya-Wei], Han, Y.[Yong], Wu, Y.H.[Yong-Hua], Gao, P.[Peng], Wang, T.J.[Ti-Jian],
Study of PBLH and Its Correlation with Particulate Matter from One-Year Observation over Nanjing, Southeast China,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zou, B.[Bin], Chen, J.W.[Jing-Wen], Zhai, L.[Liang], Fang, X.[Xin], Zheng, Z.[Zhong],
Satellite Based Mapping of Ground PM2.5 Concentration Using Generalized Additive Modeling,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Tang, M.F.[Meng-Fan], Wu, X.[Xiao], Agrawal, P.[Pranav], Pongpaichet, S.[Siripen], Jain, R.[Ramesh],
Integration of Diverse Data Sources for Spatial PM2.5 Data Interpolation,
MultMed(19), No. 2, February 2017, pp. 408-417.
IEEE DOI 1702
multimedia systems BibRef

Gong, W.[Wei], Huang, Y.[Yusi], Zhang, T.H.[Tian-Hao], Zhu, Z.M.[Zhong-Min], Ji, Y.X.[Yu-Xi], Xiang, H.[Hao],
Impact and Suggestion of Column-to-Surface Vertical Correction Scheme on the Relationship between Satellite AOD and Ground-Level PM2.5 in China,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Feng, H.H.[Hui-Hui], Zou, B.[Bin], Tang, Y.[Yumeng],
Scale- and Region-Dependence in Landscape-PM2.5 Correlation: Implications for Urban Planning,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Yun, G.L.[Guo-Liang], Zuo, S.D.[Shu-Di], Dai, S.Q.[Shao-Qing], Song, X.D.[Xiao-Dong], Xu, C.D.[Cheng-Dong], Liao, Y.L.[Yi-Lan], Zhao, P.Q.[Pei-Qiang], Chang, W.Y.[Wei-Yin], Chen, Q.[Qi], Li, Y.[Yaying], Tang, J.F.[Jian-Feng], Man, W.[Wang], Ren, Y.[Yin],
Individual and Interactive Influences of Anthropogenic and Ecological Factors on Forest PM2.5 Concentrations at an Urban Scale,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Franklin, M.[Meredith], Kalashnikova, O.V.[Olga V.], Garay, M.J.[Michael J.], Fruin, S.[Scott],
Characterization of Subgrid-Scale Variability in Particulate Matter with Respect to Satellite Aerosol Observations,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Wooster, M.J.[Martin J.], Gaveau, D.L.A.[David. L. A.], Salim, M.A.[Mohammad A.], Zhang, T.R.[Tian-Ran], Xu, W.D.[Wei-Dong], Green, D.[David], Huijnen, V.[Vincent], Murdiyarso, D.[Daniel], Gunawan, D.[Dodo], Borchard, N.[Nils], Schirrmann, M.[Michael], Main, B.[Bruce], Sepriando, A.[Alpon],
New Tropical Peatland Gas and Particulate Emissions Factors Indicate 2015 Indonesian Fires Released Far More Particulate Matter (but Less Methane) than Current Inventories Imply,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Zhang, G.Y.[Guang-Yuan], Rui, X.P.[Xiao-Ping], Fan, Y.L.[Yong-Lei],
Critical Review of Methods to Estimate PM2.5 Concentrations within Specified Research Region,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Stirnberg, R.[Roland], Cermak, J.[Jan], Andersen, H.[Hendrik],
An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Di, H.[Huige], Wang, Q.Y.[Qi-Yu], Hua, H.[Hangbo], Li, S.[Siwen], Yan, Q.[Qing], Liu, J.J.[Jing-Jing], Song, Y.H.[Yue-Hui], Hua, D.X.[Deng-Xin],
Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Lin, C.Q.[Chang-Qing], Lau, A.K.H.[Alexis K. H.], Lu, X.C.[Xing-Cheng], Fung, J.C.H.[Jimmy C. H.], Li, Z.Y.[Zhi-Yuan], Li, C.C.[Cheng-Cai], Wong, A.H.S.[Andromeda H. S.],
Assessing Effect of Targeting Reduction of PM2.5 Concentration on Human Exposure and Health Burden in Hong Kong Using Satellite Observation,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Su, P.H.[Peng-Hao], Geng, P.[Peng], Wei, L.J.[Li-Jiang], Hou, C.Y.[Chun-Yan], Yin, F.[Fang], Tomy, G.T.[Gregg T.], Li, Y.F.[Yi-Fan], Feng, D.L.[Dao-Lun],
PM and PAHs emissions of ship auxiliary engine fuelled with waste cooking oil biodiesel and marine gas oil,
IET-ITS(13), No. 1, January 2019, pp. 218-227.
DOI Link 1901
BibRef

Hsu, C.Y.[Chin-Yu], Wu, C.D.[Chih-Da], Hsiao, Y.P.[Ya-Ping], Chen, Y.C.[Yu-Cheng], Chen, M.J.[Mu-Jean], Lung, S.C.C.[Shih-Chun Candice],
Developing Land-Use Regression Models to Estimate PM2.5-Bound Compound Concentrations,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Li, Y.[Ying], Xue, Y.[Yong], Guang, J.[Jie], She, L.[Lu], Fan, C.[Cheng], Chen, G.L.[Gui-Li],
Ground-Level PM2.5 Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Li, L.J.[Li-Juan], Chen, B.Z.[Bao-Zhang], Zhang, Y.[Yanhu], Zhao, Y.Z.[You-Zheng], Xian, Y.[Yue], Xu, G.[Guang], Zhang, H.F.[Hui-Fang], Guo, L.F.[Li-Feng],
Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Estčve, R.S.[Roland Sarda], Baisnée, D.[Dominique], Guinot, B.[Benjamin], Petit, J.E.[Jean-Eudes], Sodeau, J.[John], O'Connor, D.[David], Besancenot, J.P.[Jean-Pierre], Thibaudon, M.[Michel], Gros, V.[Valérie],
Temporal Variability and Geographical Origins of Airborne Pollen Grains Concentrations from 2015 to 2018 at Saclay, France,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Just, A.C.[Allan C.], de Carli, M.M.[Margherita M.], Shtein, A.[Alexandra], Dorman, M.[Michael], Lyapustin, A.[Alexei], Kloog, I.[Itai],
Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM2.5 in the Northeastern USA,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Vu, B.N.[Bryan N.], Sánchez, O.[Odón], Bi, J.Z.[Jian-Zhao], Xiao, Q.Y.[Qing-Yang], Hansel, N.N.[Nadia N.], Checkley, W.[William], Gonzales, G.F.[Gustavo F.], Steenland, K.[Kyle], Liu, Y.[Yang],
Developing an Advanced PM2.5 Exposure Model in Lima, Peru,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

He, L.J.[Li-Jie], Lin, A.[Aiwen], Chen, X.X.[Xin-Xin], Zhou, H.[Hao], Zhou, Z.[Zhigao], He, P.P.[Pei-Pei],
Assessment of MERRA-2 Surface PM2.5 over the Yangtze River Basin: Ground-based Verification, Spatiotemporal Distribution and Meteorological Dependence,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Deng, F., Ma, L., Gao, X., Chen, J.,
The MR-CA Models for Analysis of Pollution Sources and Prediction of PM2.5,
SMCS(49), No. 4, April 2019, pp. 814-820.
IEEE DOI 1903
Pollution, Computational modeling, Mathematical model, Atmospheric modeling, Biological system modeling, pollution source analysis BibRef

Zhang, B.[Bo], Zhang, M.[Meng], Kang, J.[Jian], Hong, D.F.[Dan-Feng], Xu, J.[Jian], Zhu, X.X.[Xiao-Xiang],
Estimation of PMx Concentrations from Landsat 8 OLI Images Based on a Multilayer Perceptron Neural Network,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Yao, F.[Fei], Wu, J.S.[Jian-Sheng], Li, W.F.[Wei-Feng], Peng, J.[Jian],
A spatially structured adaptive two-stage model for retrieving ground-level PM2.5 concentrations from VIIRS AOD in China,
PandRS(151), 2019, pp. 263-276.
Elsevier DOI 1904
PM, VIIRS AOD, Spatially structured adaptive, Two-stage model, China BibRef

Yao, F.[Fei], Wu, J.S.[Jian-Sheng], Li, W.F.[Wei-Feng], Peng, J.[Jian],
Estimating Daily PM2.5 Concentrations in Beijing Using 750-M VIIRS IP AOD Retrievals and a Nested Spatiotemporal Statistical Model,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Hua, Z.Q.[Zhen-Qun], Sun, W.W.[Wei-Wei], Yang, G.[Gang], Du, Q.[Qian],
A Full-Coverage Daily Average PM2.5 Retrieval Method with Two-Stage IVW Fused MODIS C6 AOD and Two-Stage GAM Model,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Liu, J.J.[Jian-Jun], Weng, F.Z.[Fu-Zhong], Li, Z.Q.[Zhan-Qing], Cribb, M.C.[Maureen C.],
Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble Learning Algorithm and Their Spatiotemporal Patterns over Central East China,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Mataveli, G.A.V.[Guilherme Augusto Verola], Silva, M.E.S.[Maria Elisa Siqueira], de Azeredo França, D.[Daniela], Brunsell, N.A.[Nathaniel Alan], de Oliveira, G.[Gabriel], da Silva Cardozo, F.[Francielle], Bertani, G.[Gabriel], Pereira, G.[Gabriel],
Characterization and Trends of Fine Particulate Matter (PM2.5) Fire Emissions in the Brazilian Cerrado during 2002-2017,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Wu, J.S.[Jian-Sheng], Liang, J.[Jingtian], Zhou, L.G.[Li-Guo], Yao, F.[Fei], Peng, J.[Jian],
Impacts of AOD Correction and Spatial Scale on the Correlation between High-Resolution AOD from Gaofen-1 Satellite and In Situ PM2.5 Measurements in Shenzhen City, China,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Werner, M.[Malgorzata], Kryza, M.[Maciej], Guzikowski, J.[Jakub],
Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhang, K.[Kainan], de Leeuw, G.[Gerrit], Yang, Z.Q.[Zhi-Qiang], Chen, X.F.[Xing-Feng], Su, X.L.[Xiao-Li], Jiao, J.S.[Jia-Shuang],
Estimating Spatio-Temporal Variations of PM2.5 Concentrations Using VIIRS-Derived AOD in the Guanzhong Basin, China,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Lin, C.Q.[Chang-Qing], Lau, A.K.H.[Alexis K. H.], Fung, J.C.H.[Jimmy C. H.], He, Q.[Qianshan], Ma, J.[Jun], Lu, X.C.[Xing-Cheng], Li, Z.Y.[Zhi-Yuan], Li, C.[Chengcai], Zuo, R.G.[Ren-Guang], Wong, A.H.S.[Andromeda H. S.],
Decomposing the Long-term Variation in Population Exposure to Outdoor PM2.5 in the Greater Bay Area of China Using Satellite Observations,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Wang, H.[Hong], Li, J.W.[Jia-Wen], Gao, Z.Q.[Zhi-Qiu], Yim, S.H.L.[Steve H.L.], Shen, H.F.[Huan-Feng], Ho, H.C.[Hung Chak], Li, Z.Y.[Zhi-Yuan], Zeng, Z.L.[Zhao-Liang], Liu, C.[Chao], Li, Y.B.[Yu-Bin], Ning, G.C.[Gui-Cai], Yang, Y.J.[Yuan-Jian],
High-Spatial-Resolution Population Exposure to PM2.5 Pollution Based on Multi-Satellite Retrievals: A Case Study of Seasonal Variation in the Yangtze River Delta, China in 2013,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Liu, M.[Ming], Zhou, G.X.[Gao-Xiang], Saari, R.K.[Rebecca K.], Li, S.[Sabrina], Liu, X.N.[Xiang-Nan], Li, J.[Jonathan],
Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm,
PandRS(158), 2019, pp. 90-98.
Elsevier DOI 1912
PM, Particle radius, Aerosol optical depth, MODIS, China BibRef

Li, L.[Lianfa],
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Pitarch, J.[Jaime], Bellacicco, M.[Marco], Organelli, E.[Emanuele], Volpe, G.[Gianluca], Colella, S.[Simone], Vellucci, V.[Vincenzo], Marullo, S.[Salvatore],
Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Li, R.[Rong], Mei, X.[Xin], Chen, L.F.[Liang-Fu], Wang, Z.F.[Zi-Feng], Jing, Y.Y.[Ying-Ying], Wei, L.F.[Li-Fei],
Influence of Spatial Resolution and Retrieval Frequency on Applicability of Satellite-Predicted PM2.5 in Northern China,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Sorek-Hamer, M.[Meytar], Franklin, M.[Meredith], Chau, K.[Khang], Garay, M.[Michael], Kalashnikova, O.[Olga],
Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Xue, Y.[Yong], Li, Y.[Ying], Guang, J.[Jie], Tugui, A.[Alexandru], She, L.[Lu], Qin, K.[Kai], Fan, C.[Cheng], Che, Y.H.[Ya-Hui], Xie, Y.Q.[Yan-Qing], Wen, Y.[Yanan], Wang, Z.X.[Zi-Xiang],
Hourly PM2.5 Estimation over Central and Eastern China Based on Himawari-8 Data,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Noyes, K.J.[Katherine Junghenn], Kahn, R.[Ralph], Sedlacek, A.[Arthur], Kleinman, L.[Lawrence], Limbacher, J.[James], Li, Z.Q.[Zhan-Qing],
Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Noyes, K.T.J.[Katherine T. Junghenn], Kahn, R.A.[Ralph A.], Limbacher, J.A.[James A.], Li, Z.Q.[Zhan-Qing], Fenn, M.A.[Marta A.], Giles, D.M.[David M.], Hair, J.W.[Johnathan W.], Katich, J.M.[Joseph M.], Moore, R.H.[Richard H.], Robinson, C.E.[Claire E.], Sanchez, K.J.[Kevin J.], Shingler, T.J.[Taylor J.], Thornhill, K.L.[Kenneth L.], Wiggins, E.B.[Elizabeth B.], Winstead, E.L.[Edward L.],
Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Zeng, Q.L.[Qiao-Lin], Tao, J.H.[Jin-Hua], Chen, L.F.[Liang-Fu], Zhu, H.[Hao], Zhu, S.Y.[Song-Yan], Wang, Y.[Yang],
Estimating Ground-Level Particulate Matter in Five Regions of China Using Aerosol Optical Depth,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Yazdi, M.D.[Mahdieh Danesh], Kuang, Z.[Zheng], Dimakopoulou, K.[Konstantina], Barratt, B.[Benjamin], Suel, E.[Esra], Amini, H.[Heresh], Lyapustin, A.[Alexei], Katsouyanni, K.[Klea], Schwartz, J.[Joel],
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Chau, K.[Khang], Franklin, M.[Meredith], Gauderman, W.J.[W. James],
Satellite-Derived PM2.5 Composition and Its Differential Effect on Children's Lung Function,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Chami, M.[Malik], Larnicol, M.[Morgane], Minghelli, A.[Audrey], Migeon, S.[Sebastien],
Influence of the Suspended Particulate Matter on the Satellite Radiance in the Sunglint Observation Geometry in Coastal Waters,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Yang, Q.Q.[Qian-Qian], Yuan, Q.Q.[Qiang-Qiang], Yue, L.W.[Lin-Wei], Li, T.W.[Tong-Wen], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei],
Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach,
PandRS(165), 2020, pp. 140-151.
Elsevier DOI 2006
PM, Retrieval, Aerosol optical depth, High resolution, Dual-scale, Scale difference BibRef

Christopher, S.[Sundar], Gupta, P.[Pawan],
Global Distribution of Column Satellite Aerosol Optical Depth to Surface PM2.5 Relationships,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Lin, T.H.[Tang-Huang], Chang, K.E.[Kuo-En], Chan, H.P.[Hai-Po], Hsiao, T.C.[Ta-Chih], Lin, N.H.[Neng-Huei], Chuang, M.T.[Ming-Tung], Yeh, H.Y.[Hung-Yi],
Potential Approach for Single-Peak Extinction Fitting of Aerosol Profiles Based on In Situ Measurements for the Improvement of Surface PM2.5 Retrieval from Satellite AOD Product,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Carmona, J.M.[Johana M.], Gupta, P.[Pawan], Lozano-García, D.F.[Diego F.], Vanoye, A.Y.[Ana Y.], Yépez, F.D.[Fabiola D.], Mendoza, A.[Alberto],
Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Zhang, Y.[Ying], Li, Z.Q.A.[Zheng-Qi-Ang], Chang, W.Y.[Wen-Yuan], Zhang, Y.X.[Yuan-Xun], de Leeuw, G.[Gerrit], Schauer, J.J.[James J.],
Satellite Observations of PM2.5 Changes and Driving Factors Based Forecasting Over China 2000-2025,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Li, T.W.[Tong-Wen], Shen, H.F.[Huan-Feng], Yuan, Q.Q.[Qiang-Qiang], Zhang, L.P.[Liang-Pei],
Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5,
PandRS(167), 2020, pp. 178-188.
Elsevier DOI 2008
Geographically and temporally weighted neural network, Generalized regression neural network, PM, AOD, Satellite remote sensing BibRef

Zhang, G.Y.[Guang-Yuan], Lu, H.Y.[Hai-Yue], Dong, J.[Jin], Poslad, S.[Stefan], Li, R.K.[Run-Kui], Zhang, X.S.[Xiao-Shuai], Rui, X.P.[Xiao-Ping],
A Framework to Predict High-Resolution Spatiotemporal PM2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Chen, Z.Y.[Zhao-Yue], Jin, J.Q.[Jie-Qi], Zhang, R.[Rong], Zhang, T.H.[Tian-Hao], Chen, J.J.[Jin-Jian], Yang, J.[Jun], Ou, C.Q.[Chun-Quan], Guo, Y.M.[Yu-Ming],
Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2.5 Levels,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Zhang, M.[Miao], Wu, D.Y.[Dong-Yu], Su, B.[Bo], Bilal, M.[Muhammad], Li, Y.Y.[Yu-Ying], Li, B.L.[B. Larry],
Spatio-Temporal Characteristics of PM2.5, PM10, and AOD over Canal Head Taocha Station, Henan Province,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Fan, Z.Y.[Zhi-Yu], Zhan, Q.M.[Qing-Ming], Yang, C.[Chen], Liu, H.M.[Hui-Min], Bilal, M.[Muhammad],
Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

González, R.[Ramiro], Toledano, C.[Carlos], Román, R.[Roberto], Mateos, D.[David], Asmi, E.[Eija], Rodríguez, E.[Edith], Lau, I.C.[Ian C.], Ferrara, J.[Jonathan], d'Elia, R.[Raúl], Antuńa-Sánchez, J.C.[Juan Carlos], Cachorro, V.E.[Victoria E.], Calle, A.[Abel], de Frutos, Á.M.[Ángel M.],
Characterization of Stratospheric Smoke Particles over the Antarctica by Remote Sensing Instruments,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Schneider, R.[Rochelle], Vicedo-Cabrera, A.M.[Ana M.], Sera, F.[Francesco], Masselot, P.[Pierre], Stafoggia, M.[Massimo], de Hoogh, K.[Kees], Kloog, I.[Itai], Reis, S.[Stefan], Vieno, M.[Massimo], Gasparrini, A.[Antonio],
A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef
And: Correction: RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wu, C.B.[Cheng-Bo], Li, K.[Ke], Bai, K.X.[Kai-Xu],
Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Dey, S.[Sagnik], Purohit, B.[Bhavesh], Balyan, P.[Palak], Dixit, K.[Kuldeep], Bali, K.[Kunal], Kumar, A.[Alok], Imam, F.[Fahad], Chowdhury, S.[Sourangsu], Ganguly, D.[Dilip], Gargava, P.[Prashant], Shukla, V.K.,
A Satellite-Based High-Resolution (1-km) Ambient PM2.5 Database for India over Two Decades (2000-2019): Applications for Air Quality Management,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Zuo, X.[Xin], Cheng, T.H.[Tian-Hai], Gu, X.F.[Xing-Fa], Guo, H.[Hong], Wu, Y.[Yu], Shi, S.Y.[Shuai-Yi],
Studying the Regional Transmission and Inferring the Local/External Contribution of Fine Particulate Matter Based on Multi-Source Observation: A Case Study in the East of North China Plain,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef
And: Erratum: RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Griffin, D.[Debora], McLinden, C.A.[Chris Anthony], Racine, J.[Jacinthe], Moran, M.D.[Michael David], Fioletov, V.[Vitali], Pavlovic, R.[Radenko], Mashayekhi, R.[Rabab], Zhao, X.Y.[Xiao-Yi], Eskes, H.[Henk],
Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels over Southern Ontario, Canada,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Roux, E.[Emmanuel], Ignotti, E.[Eliane], Bčgue, N.[Nelson], Bencherif, H.[Hassan], Catry, T.[Thibault], Dessay, N.[Nadine], Gracie, R.[Renata], Gurgel, H.[Helen], de Sousa Hacon, S.[Sandra], de A. F. M. Magalhăes, M.[Mônica], Vieira Monteiro, A.M.[Antônio Miguel], Revillion, C.[Christophe], Antunes Maciel Villela, D.[Daniel], Xavier, D.[Diego], Barcellos, C.[Christovam],
Toward an Early Warning System for Health Issues Related to Particulate Matter Exposure in Brazil: The Feasibility of Using Global PM2.5 Concentration Forecast Products,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Fan, W., Qin, K., Cui, Y., Li, D., Bilal, M.,
Estimation of Hourly Ground-Level PM2.5 Concentration Based on Himawari-8 Apparent Reflectance,
GeoRS(59), No. 1, January 2021, pp. 76-85.
IEEE DOI 2012
Aerosols, Atmospheric modeling, Estimation, Satellites, Spatial resolution, Monitoring, MODIS, Aerosol optical depth (AOD), particulate matter (PM2.5) BibRef

Kianian, B.[Behzad], Liu, Y.[Yang], Chang, H.H.[Howard H.],
Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Chen, N.C.[Neng-Cheng], Yang, M.J.[Mei-Juan], Du, W.Y.[Wen-Ying], Huang, M.[Min],
PM2.5 Estimation and Spatial-Temporal Pattern Analysis Based on the Modified Support Vector Regression Model and the 1 km Resolution MAIAC AOD in Hubei, China,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Xue, W.H.[Wen-Hao], Wei, J.[Jing], Zhang, J.[Jing], Sun, L.[Lin], Che, Y.F.[Yun-Fei], Yuan, M.F.[Meng-Fei], Hu, X.M.[Xiao-Min],
Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Zheng, T.S.[Tong-Shu], Bergin, M.[Michael], Wang, G.Y.[Guo-Yin], Carlson, D.[David],
Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest-Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and Meteorology,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ma, X.D.[Xiao-Dan], Yan, P.[Peng], Zhao, T.L.[Tian-Liang], Jia, X.F.[Xiao-Fang], Jiao, J.[Jian], Ma, Q.L.[Qian-Li], Wu, D.Q.[Dong-Qiao], Shu, Z.Z.[Zhuo-Zhi], Sun, X.Y.[Xiao-Yun], Habtemicheal, B.A.[Birhanu Asmerom],
Evaluations of Surface PM10 Concentration and Chemical Compositions in MERRA-2 Aerosol Reanalysis over Central and Eastern China,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Xu, X., Yoneda, M.,
Multitask Air-Quality Prediction Based on LSTM-Autoencoder Model,
Cyber(51), No. 5, May 2021, pp. 2577-2586.
IEEE DOI 2104
Atmospheric modeling, Predictive models, Time series analysis, Logic gates, Air pollution, Neural networks, PM2.5 BibRef

Lu, D.B.[De-Bin], Mao, W.[Wanliu], Xiao, W.[Wu], Zhang, L.[Liang],
Non-Linear Response of PM2.5 Pollution to Land Use Change in China,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Chen, Y.J.[Yi-Jun], Wu, S.[Sensen], Wang, Y.Y.[Yuan-Yuan], Zhang, F.[Feng], Liu, R.Y.[Ren-Yi], Du, Z.H.[Zhen-Hong],
Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Wu, T.[Tao], Zhou, L.X.[Li-Xia], Jiang, G.J.[Guo-Jun], Meadows, M.E.[Michael E.], Zhang, J.Z.[Jian-Zhen], Pu, L.J.[Li-Jie], Wu, C.F.[Chao-Fan], Xie, X.F.[Xue-Feng],
Modelling Spatial Heterogeneity in the Effects of Natural and Socioeconomic Factors, and Their Interactions, on Atmospheric PM2.5 Concentrations in China from 2000-2015,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Lee, C.[Changsuk], Lee, K.[Kyunghwa], Kim, S.[Sangmin], Yu, J.H.[Jin-Hyeok], Jeong, S.[Seungtaek], Yeom, J.[Jongmin],
Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite and Reanalysis Data via Deep Learning,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Xuan, W.H.[Wei-Hao], Zhang, F.[Feng], Zhou, H.Y.[Hong-Ye], Du, Z.H.[Zhen-Hong], Liu, R.Y.[Ren-Yi],
Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Tang, Y.M.[Yu-Ming], Deng, R.[Ruru], Li, J.[Jun], Liang, Y.[Yeheng], Xiong, L.H.[Long-Hai], Liu, Y.M.[Yong-Ming], Zhang, R.[Ruihao], Hua, Z.Q.[Zhen-Qun],
Estimation of Ultrahigh Resolution PM2.5 Mass Concentrations Based on Mie Scattering Theory by Using Landsat8 OLI Images over Pearl River Delta,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Zang, Z.[Zhou], Li, D.[Dan], Guo, Y.S.[Yu-Shan], Shi, W.Z.[Wen-Zhong], Yan, X.[Xing],
Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Li, X.[Xuan], Wu, C.F.[Chao-Fan], Meadows, M.E.[Michael E.], Zhang, Z.Y.[Zhao-Yang], Lin, X.W.[Xing-Wen], Zhang, Z.Z.[Zhen-Zhen], Chi, Y.G.[Yong-Gang], Feng, M.L.[Mei-Li], Li, E.[Enguang], Hu, Y.H.[Yu-Hong],
Factors Underlying Spatiotemporal Variations in Atmospheric PM2.5 Concentrations in Zhejiang Province, China,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Le Roux, J.[Jeanné], Christopher, S.[Sundar], Maskey, M.[Manil],
Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Wen, W.[Wei], Shen, S.[Song], Liu, L.[Lei], Ma, X.[Xin], Wei, Y.[Ying], Wang, J.[Jikang], Xing, Y.[Yi], Su, W.[Wei],
Comparative Analysis of PM2.5 and O3 Source in Beijing Using a Chemical Transport Model,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, Y.J.[Yan-Jun], Wang, M.J.[Meng-Jie], Huang, B.[Bo], Li, S.C.[Shao-Chun], Lin, Y.H.[Yun-Hao],
Estimation and Analysis of the Nighttime PM2.5 Concentration Based on LJ1-01 Images: A Case Study in the Pearl River Delta Urban Agglomeration of China,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Chau, K.[Khang], Franklin, M.[Meredith], Lee, H.[Huikyo], Garay, M.[Michael], Kalashnikova, O.[Olga],
Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Jung, C.R.[Chau-Ren], Chen, W.T.[Wei-Ting], Nakayama, S.F.[Shoji F.],
A National-Scale 1-km Resolution PM2.5 Estimation Model over Japan Using MAIAC AOD and a Two-Stage Random Forest Model,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

He, J.C.[Jun-Chen], Jin, Z.L.[Zhi-Li], Wang, W.[Wei], Zhang, Y.X.[Yi-Xiao],
Mapping Seasonal High-Resolution PM2.5 Concentrations with Spatiotemporal Bagged-Tree Model across China,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Ma, X.[Xin], Jiang, W.C.[Wei-Cheng], Li, H.[Hui], Ma, Y.Y.[Ying-Ying], Jin, S.K.[Shi-Kuan], Liu, B.M.[Bo-Ming], Gong, W.[Wei],
Variations in Nocturnal Residual Layer Height and Its Effects on Surface PM2.5 over Wuhan, China,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Chen, X.D.[Xing-Di], Kong, P.[Peng], Jiang, P.[Peng], Wu, Y.[Yanlan],
Estimation of PM2.5 Concentration Using Deep Bayesian Model Considering Spatial Multiscale,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Sun, Y.X.[Yu-Xin], Xue, Y.[Yong], Jiang, X.X.[Xing-Xing], Jin, C.L.[Chun-Lin], Wu, S.H.[Shu-Hui], Zhou, X.[Xiran],
Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Guo, J.Y.[Jin-Yun], Hou, R.[Rui], Zhou, M.S.[Mao-Sheng], Jin, X.[Xin], Li, G.[Guowei],
Detection of Particulate Matter Changes Caused by 2020 California Wildfires Based on GNSS and Radiosonde Station,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Li, L.F.[Lian-Fa],
Geographic Graph Network for Robust Inversion of Particulate Matters,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Shen, L.J.[Li-Juan], Hu, W.Y.[Wei-Yang], Zhao, T.L.[Tian-Liang], Bai, Y.Q.[Yong-Qing], Wang, H.L.[Hong-Lei], Kong, S.F.[Shao-Fei], Zhu, Y.[Yan],
Changes in the Distribution Pattern of PM2.5 Pollution over Central China,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Lu, M.Y.[Ming-Yue], Lao, T.F.[Teng-Fei], Yu, M.Z.[Man-Zhu], Zhang, Y.D.[Ya-Dong], Zheng, J.Q.[Jian-Qin], Li, Y.C.[Yu-Chen],
PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep Learning Considering the Spatial Diffusion Process,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yu, X.H.[Xiao-He], Lary, D.J.[David J.], Simmons, C.S.[Christopher S.],
PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wei, J.[Jing], Li, Z.Q.[Zhan-Qing], Sun, L.[Lin], Xue, W.H.[Wen-Hao], Ma, Z.W.[Zong-Wei], Liu, L.[Lei], Fan, T.Y.[Tian-Yi], Cribb, M.[Maureen],
Extending the EOS Long-Term PM2.5 Data Records Since 2013 in China: Application to the VIIRS Deep Blue Aerosol Products,
GeoRS(60), 2022, pp. 1-12.
IEEE DOI 2112
Aerosols, Spatiotemporal phenomena, Earth Observing System, Atmospheric modeling, Atmospheric measurements, Air pollution, Visible Infrared Imaging Radiometer Suite (VIIRS) BibRef

Jin, Y.H.[Yu-Hao], Zhang, H.[Han], Shi, H.[Hong], Wang, H.L.[Hui-Lin], Wei, Z.F.[Zhen-Feng], Han, Y.X.[Yu-Xing], Cong, P.T.[Pei-Tong],
Assessing Spatial Heterogeneity of Factor Interactions on PM2.5 Concentrations in Chinese Cities,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Liu, Y.[Ying], He, L.J.[Li-Jie], Qin, W.M.[Wen-Min], Lin, A.[Aiwen], Yang, Y.Z.[Yan-Zhao],
The Effect of Urban Form on PM2.5 Concentration: Evidence from China's 340 Prefecture-Level Cities,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Bai, K.X.[Kai-Xu], Li, K.[Ke], Guo, J.P.[Jian-Ping], Chang, N.B.[Ni-Bin],
Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: Can spatial pattern recognition come with modeling accuracy?,
PandRS(184), 2022, pp. 31-44.
Elsevier DOI 2202
Multiscale prediction, Data fusion, Big data analytics, PM, Aerosol optical depth, Air pollution BibRef

Yu, X.H.[Xiao-He], Lary, D.J.[David J.], Simmons, C.S.[Christopher S.], Wijeratne, L.O.H.[Lakitha O. H.],
High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Ma, P.[Peilong], Tao, F.[Fei], Gao, L.[Lina], Leng, S.[Shaijie], Yang, K.[Ke], Zhou, T.[Tong],
Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple Machine Learning Models,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zeng, Q.L.[Qiao-Lin], Xie, T.S.[Tian-Shou], Zhu, S.[Songyan], Fan, M.[Meng], Chen, L.[Liangfu], Tian, Y.[Yu],
Estimating the Near-Ground PM2.5 Concentration over China Based on the CapsNet Model during 2018-2020,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhai, H.R.[Hao-Ran], Yao, J.Q.[Jia-Qi], Wang, G.H.[Guang-Hui], Tang, X.M.[Xin-Ming],
Study of the Effect of Vegetation on Reducing Atmospheric Pollution Particles,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Shin, J.[Juseon], Kim, D.[Dukhyeon], Noh, Y.[Youngmin],
Estimation of Aerosol Extinction Coefficient Using Camera Images and Application in Mass Extinction Efficiency Retrieval,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Sun, K.Z.[Ke-Zheng], Tang, L.J.[Li-Juan], Huang, S.F.[Shuai-Feng], Qian, J.S.[Jian-Sheng],
A photo-based quality assessment model for the estimation of PM2.5 concentrations,
IET-IPR(16), No. 4, 2022, pp. 1008-1016.
DOI Link 2203
BibRef

Xia, Z.F.[Zhi-Fang],
A robust photo-based PM2.5 monitoring method by combining linear and non-linear learning,
IET-IPR(16), No. 4, 2022, pp. 1000-1007.
DOI Link 2203
BibRef

Wang, F.[Fei], Yao, S.Q.[Shi-Qi], Luo, H.W.[Hao-Wen], Huang, B.[Bo],
Estimating High-Resolution PM2.5 Concentrations by Fusing Satellite AOD and Smartphone Photographs Using a Convolutional Neural Network and Ensemble Learning,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Wu, P.[Peng], Song, Y.Z.[Yong-Ze],
Land Use Quantile Regression Modeling of Fine Particulate Matter in Australia,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Chen, D.X.[Dong-Xing], Zeng, L.[Lin], Boot, K.[Katherine], Liu, Q.Q.[Qian-Qian],
Satellite Observed Spatial and Temporal Variabilities of Particulate Organic Carbon in the East China Sea,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yang, Q.J.[Qing-Jian], Zhao, T.L.[Tian-Liang], Tian, Z.J.[Zhi-Jie], Kumar, K.R.[Kanike Raghavendra], Chang, J.C.[Jia-Cheng], Hu, W.Y.[Wei-Yang], Shu, Z.[Zhuozhi], Hu, J.[Jun],
The Cross-Border Transport of PM2.5 from the Southeast Asian Biomass Burning Emissions and Its Impact on Air Pollution in Yunnan Plateau, Southwest China,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ahmed, M.[Maqsood], Xiao, Z.[Zemin], Shen, Y.L.[Yong-Lin],
Estimation of Ground PM2.5 Concentrations in Pakistan Using Convolutional Neural Network and Multi-Pollutant Satellite Images,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zhang, L.[Lili], Zhao, N.[Na], Zhang, W.H.[Wen-Hao], Wilson, J.P.[John P.],
Changes in Long-Term PM2.5 Pollution in the Urban and Suburban Areas of China's Three Largest Urban Agglomerations from 2000 to 2020,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Cui, Q.[Qian], Zhang, F.[Feng], Fu, S.Y.[Shao-Yun], Wei, X.L.[Xiao-Li], Ma, Y.[Yue], Wu, K.[Kun],
High Spatiotemporal Resolution PM2.5 Concentration Estimation with Machine Learning Algorithm: A Case Study for Wildfire in California,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Gu, J.L.[Ji-Lin], Wang, Y.W.[Yi-Wei], Ma, J.[Ji], Lu, Y.Q.[Yao-Qi], Wang, S.H.[Shao-Hua], Li, X.M.[Xue-Ming],
An Estimation Method for PM2.5 Based on Aerosol Optical Depth Obtained from Remote Sensing Image Processing and Meteorological Factors,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zhang, S.Q.[Shuai-Qian], Tao, F.[Fei], Wu, Q.[Qi], Han, Q.[Qile], Wang, Y.[Yu], Zhou, T.[Tong],
Structural Differences of PM2.5 Spatial Correlation Networks in Ten Metropolitan Areas of China,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Wang, Z.[Zhige], Hu, B.[Bifeng], Huang, B.[Bo], Ma, Z.Q.[Zi-Qiang], Biswas, A.[Asim], Jiang, Y.F.[Ye-Feng], Shi, Z.[Zhou],
Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability,
PandRS(187), 2022, pp. 141-158.
Elsevier DOI 2205
PM prediction, AOD, Attention mechanism, Bidirectional LSTM, Spatiotemporal variation BibRef

Joo, S.[Sohee], Dehkhoda, N.[Naghmeh], Shin, J.[Juseon], Park, M.E.[Mi Eun], Sim, J.[Juhyeon], Noh, Y.[Youngmin],
A Study on the Long-Term Variations in Mass Extinction Efficiency Using Visibility Data in South Korea,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yuan, S.Y.[Shu-Yun], Li, Y.[Ying], Gao, J.H.[Jin-Hui], Bao, F.[Fangwen],
A New Coupling Method for PM2.5 Concentration Estimation by the Satellite-Based Semiempirical Model and Numerical Model,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Zhao, H.B.[Hong-Bo], Liu, Y.X.[Ya-Xin], Gu, T.S.[Tian-Shun], Zheng, H.[Hui], Wang, Z.[Zheye], Yang, D.Y.[Dong-Yang],
Identifying Spatiotemporal Heterogeneity of PM2.5 Concentrations and the Key Influencing Factors in the Middle and Lower Reaches of the Yellow River,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Feng, Y.[Yu], Fan, S.[Shurui], Xia, K.[Kewen], Wang, L.[Li],
Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Yao, S.Q.[Shi-Qi], Wang, F.[Fei], Huang, B.[Bo],
Measuring PM2.5 Concentrations from a Single Smartphone Photograph,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Bai, H.M.[He-Ming], Shi, Y.[Yuli], Seong, M.[Myeongsu], Gao, W.K.[Wen-Kang], Li, Y.H.[Yuan-Hui],
Influence of Spatial Resolution on Satellite-Based PM2.5 Estimation: Implications for Health Assessment,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Qi, L.[Ling], Zheng, H.T.[Hao-Tian], Ding, D.[Dian], Ye, D.[Dechao], Wang, S.[Shuxiao],
Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China: Implications for PM2.5 Remote Sensing,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Ibrahim, S.[Saleem], Landa, M.[Martin], Pešek, O.[Ondrej], Brodský, L.[Lukáš], Halounová, L.[Lena],
Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Fang, X.[Xin], Li, S.X.[Shen-Xin], Xiong, L.W.[Li-Wei], Zou, B.[Bin],
Analysis of PM2.5 Variations Based on Observed, Satellite-Derived, and Population-Weighted Concentrations,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Sun, X.Y.[Xiao-Yun], Zhou, Y.[Yue], Zhao, T.L.[Tian-Liang], Bai, Y.Q.[Yong-Qing], Huo, T.[Tao], Leng, L.[Liang], He, H.[Huan], Sun, J.[Jing],
Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Song, J.[Jun], Li, C.L.[Chun-Lin], Liu, M.[Miao], Hu, Y.M.[Yuan-Man], Wu, W.[Wen],
Spatiotemporal Distribution Patterns and Exposure Risks of PM2.5 Pollution in China,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, Z.[Zhen], Li, R.Y.[Rui-Yuan], Chen, Z.Y.[Zi-Yue], Yao, Q.[Qi], Gao, B.B.[Bing-Bo], Xu, M.Q.[Miao-Qing], Yang, L.[Lin], Li, M.C.[Man-Chun], Zhou, C.H.[Cheng-Hu],
The estimation of hourly PM2.5 concentrations across China based on a Spatial and Temporal Weighted Continuous Deep Neural Network (STWC-DNN),
PandRS(190), 2022, pp. 38-55.
Elsevier DOI 2208
PM estimation, AOD, Himawari-8, Deep neural network, Automatic spatiotemporal weight function, Continuous spatial distribution BibRef

Chen, Q.[Qili], Chen, W.[Wenbai], Pan, G.Y.[Guang-Yuan],
An improved picture-based prediction method of PM2.5 concentration,
IET-IPR(16), No. 11, 2022, pp. 2827-2833.
DOI Link 2208
BibRef

Walch, D.M.R.[Daniela M. R.], Singh, R.K.[Rakesh K.], Sřreide, J.E.[Janne E.], Lantuit, H.[Hugues], Poste, A.[Amanda],
Spatio-Temporal Variability of Suspended Particulate Matter in a High-Arctic Estuary (Adventfjorden, Svalbard) Using Sentinel-2 Time-Series,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Chen, W.W.[Wei-Wei], Zhang, M.[Mengduo], Liu, W.[Wei], Fu, J.[Jing], Guo, L.[Li],
Real-Time Source Apportionment of PM2.5 Highlights the Importance of Joint Controls on Atmospheric Pollution in Cold Region of China,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

He, W.H.[Wei-Huan], Zhang, S.L.[Song-Lin], Meng, H.[Huan], Han, J.[Jie], Zhou, G.H.[Gao-Hui], Song, H.Q.[Hong-Quan], Zhou, S.H.[Sheng-Hui], Zheng, H.[Hui],
Full-Coverage PM2.5 Mapping and Variation Assessment during the Three-Year Blue-Sky Action Plan Based on a Daily Adaptive Modeling Approach,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zang, Z.L.[Zeng-Liang], You, W.[Wei], Ye, H.C.[Han-Cheng], Liang, Y.F.[Yan-Fei], Li, Y.[Yi], Wang, D.C.[Dai-Chun], Hu, Y.[Yiwen], Yan, P.[Peng],
3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhu, Y.R.[Yan-Rong], Wang, J.[Juan], Meng, B.[Bin], Ji, H.M.[Hui-Min], Wang, S.H.[Shao-Hua], Zhi, G.Q.[Guo-Qing], Liu, J.[Jian], Shi, C.S.[Chang-Sheng],
Quantifying Spatiotemporal Heterogeneities in PM2.5-Related Health and Associated Determinants Using Geospatial Big Data: A Case Study in Beijing,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Su, Z.W.[Zhang-Wen], Xu, Z.[Zhenhui], Lin, L.[Lin], Chen, Y.M.[Yi-Min], Hu, H.H.[Hong-Hao], Wei, S.[Shujing], Luo, S.[Sisheng],
Exploration of the Contribution of Fire Carbon Emissions to PM2.5 and Their Influencing Factors in Laotian Tropical Rainforests,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Nie, X.[Xin], Mao, Q.J.[Qian-Jun],
Inversion of Aerosol Particle Size Distribution Using an Improved Stochastic Particle Swarm Optimization Algorithm,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Chu, W.H.[Wen-Hao], Zhang, C.X.[Chun-Xiao], Zhao, Y.W.[Yu-Wei], Li, R.R.[Rong-Rong], Wu, P.[Pengda],
Spatiotemporally Continuous Reconstruction of Retrieved PM2.5 Data Using an Autogeoi-Stacking Model in the Beijing-Tianjin-Hebei Region, China,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Su, H.[Heng], Chen, Y.M.[Yu-Min], Tan, H.Y.[Huang-Yuan], Zhou, A.[Annan], Chen, G.D.[Guo-Dong], Chen, Y.[Yuejun],
Estimating Regional PM2.5 Concentrations in China Using a Global-Local Regression Model Considering Global Spatial Autocorrelation and Local Spatial Heterogeneity,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Qi, L.[Ling], Zheng, H.T.[Hao-Tian], Ding, D.[Dian], Wang, S.X.[Shu-Xiao],
Effects of Anthropogenic Emission Control and Meteorology Changes on the Inter-Annual Variations of PM2.5-AOD Relationship in China,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wen, X.[Xin], Chen, W.W.[Wei-Wei], Zhang, P.[Pingyu], Chen, J.[Jie], Song, G.Q.[Guo-Qing],
An Integrated Quantitative Method Based on ArcGIS Evaluating the Contribution of Rural Straw Open Burning to Urban Fine Particulate Pollution,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Shin, J.[Juseon], Sim, J.[Juhyeon], Dehkhoda, N.[Naghmeh], Joo, S.[Sohee], Kim, T.[Taegyeong], Kim, G.[Gahyeong], Müller, D.[Detlef], Tesche, M.[Matthias], Shin, S.K.[Sung-Kyun], Shin, D.[Dongho], Noh, Y.[Youngmin],
Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Allabakash, S.[Shaik], Lim, S.[Sanghun], Chong, K.S.[Kyu-Soo], Yamada, T.J.[Tomohito J.],
Particulate Matter Concentrations over South Korea: Impact of Meteorology and Other Pollutants,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Wise, J.E.[John E.], Mars, J.C.[John C.],
Field Reflectance Measurements at Night of Beach and Desert Sands within a Particulate BRDF Model,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Yu, T.F.[Tian-Fang], Wang, J.J.[Jun-Jian], Chao, Y.[Yiwen], Zeng, H.[Hui],
Extinction Effect of Foliar Dust Retention on Urban Vegetation as Estimated by Atmospheric PM10 Concentration in Shenzhen, China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Lin, L.[Lujun], Liang, Y.C.[Yong-Chun], Liu, L.[Lei], Zhang, Y.[Yang], Xie, D.[Danni], Yin, F.[Fang], Ashraf, T.[Tariq],
Estimating PM2.5 Concentrations Using the Machine Learning RF-XGBoost Model in Guanzhong Urban Agglomeration, China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Tang, Y.B.[You-Bing], Xie, S.F.[Shao-Feng], Huang, L.[Liangke], Liu, L.L.[Li-Long], Wei, P.Z.[Peng-Zhi], Zhang, Y.[Yabo], Meng, C.Y.[Chun-Yang],
Spatial Estimation of Regional PM2.5 Concentrations with GWR Models Using PCA and RBF Interpolation Optimization,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Xu, Q.Q.[Qiang-Qiang], Chen, X.L.[Xiao-Ling], Rupakheti, D.[Dipesh], Dong, J.[Jiadan], Tang, L.[Linling], Kang, S.[Shichang],
Evaluation and Comparison of Spatio-Temporal Relationship between Multiple Satellite Aerosol Optical Depth (AOD) and Near-Surface PM2.5 Concentration over China,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Li, D.[Dingdong], Wu, Y.H.[Yong-Hua], Gross, B.[Barry], Moshary, F.[Fred],
Dynamics of Mixing Layer Height and Homogeneity from Ceilometer-Measured Aerosol Profiles and Correlation to Ground Level PM2.5 in New York City,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wen, Y.[Youyue], Xiao, J.[Jianneng], Yang, J.[Jian], Cai, S.[Saoman], Liang, M.[Minxuan], Zhou, P.[Peng],
Quantitatively Disentangling the Geographical Impacts of Topography on PM2.5 Pollution in China,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Choi, D.S.[Doo-Sun], Choi, S.M.[Soo-Min], Choi, H.[Hyo],
Abrupt High PM Concentration in an Urban Calm Cavity Generated by Internal Gravity Waves and a Shallow Coastal Atmospheric Boundary Layer with the Influence of the Yellow Dust from China,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Shi, H.[Haoze], Yang, N.[Naisen], Yang, X.[Xin], Tang, H.[Hong],
Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Deng, J.Q.[Jian-Qiong], Qiu, S.[Shi], Zhang, Y.[Yu], Cui, H.D.[Hao-Dong], Li, K.[Kun], Cheng, H.J.[Hong-Jia], Liu, Z.Y.[Zhao-Yan], Dou, X.H.[Xian-Hui], Qian, Y.G.[Yong-Gang],
Estimating Nighttime PM2.5 Concentration in Beijing Based on NPP/VIIRS Day/Night Band,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Ma, Y.[Yu], Zhang, W.H.[Wen-Hao], Zhang, L.[Lili], Gu, X.F.[Xing-Fa], Yu, T.[Tao],
Estimation of Ground-Level PM2.5 Concentration at Night in Beijing-Tianjin-Hebei Region with NPP/VIIRS Day/Night Band,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Tian, L.[Lin], Chen, L.[Lin], Zhang, P.[Peng], Hu, B.[Bo], Gao, Y.[Yang], Si, Y.[Yidan],
The Ground-Level Particulate Matter Concentration Estimation Based on the New Generation of FengYun Geostationary Meteorological Satellite,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Duan, P.[Pan], Zhang, F.[Fei], Jim, C.Y.[Chi-Yung], Tan, M.L.[Mou Leong], Cai, Y.F.[Yun-Fei], Shi, J.C.[Jing-Chao], Liu, C.J.[Chang-Jiang], Wang, W.W.[Wei-Wei], Wang, Z.[Zheng],
Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Heriza, D.[Dewinta], Wu, C.D.[Chih-Da], Syariz, M.A.[Muhammad Aldila], Lin, C.H.[Chao-Hung],
Analysis of Spatial-Temporal Variability of PM2.5 Concentrations Using Optical Satellite Images and Geographic Information System,
RS(15), No. 8, 2023, pp. 2009.
DOI Link 2305
BibRef

Handschuh, J.[Jana], Erbertseder, T.[Thilo], Baier, F.[Frank],
Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach,
RS(15), No. 8, 2023, pp. 2064.
DOI Link 2305
BibRef

Yang, H.C.[Hsin-Chih], Yang, M.C.[Ming-Chuan], Wong, G.W.[Guo-Wei], Chen, M.C.[Meng Chang],
Extreme Event Discovery With Self-Attention for PM2.5 Anomaly Prediction,
IEEE_Int_Sys(38), No. 2, March 2023, pp. 36-45.
IEEE DOI 2305
Intelligent systems, Tail, Transformers, Time series analysis, Deep learning, Behavioral sciences, Histograms BibRef

Shao, H.H.[Huan-Huan], Li, H.[Hui], Jin, S.K.[Shi-Kuan], Fan, R.N.[Ruo-Nan], Wang, W.[Weiyan], Liu, B.M.[Bo-Ming], Ma, Y.Y.[Ying-Ying], Wei, R.[Ruyi], Gong, W.[Wei],
Exploring the Conversion Model from Aerosol Extinction Coefficient to PM1, PM2.5 and PM10 Concentrations,
RS(15), No. 11, 2023, pp. 2742.
DOI Link 2306
BibRef

Xu, L.[Lili], Chen, B.[Binjie], Huang, C.H.[Chen-Hao], Zhou, M.M.[Meng-Meng], You, S.[Shucheng], Jiang, F.M.[Fang-Ming], Chen, W.R.[Wei-Rong], Deng, J.S.[Jin-Song],
Identifying PM2.5-Related Health Burden in the Context of the Integrated Development of Urban Agglomeration Using Remote Sensing and GEMM Model,
RS(15), No. 11, 2023, pp. 2770.
DOI Link 2306
BibRef

Luo, R.[Rui], Zhang, M.[Meng], Ma, G.D.[Guo-Dong],
Regional Representativeness Analysis of Ground-Monitoring PM2.5 Concentration Based on Satellite Remote Sensing Imagery and Machine Learning Techniques,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Li, S.S.[Shuo-Shuo], Wei, G.[Guoen], Liu, Y.B.[Yao-Bin], Bai, L.[Ling],
Multi-Scale Analysis of PM2.5 Concentrations in the Yangtze River Economic Belt: Investigating the Combined Impact of Natural and Human Factors,
RS(15), No. 13, 2023, pp. 3356.
DOI Link 2307
BibRef

Fazzini, P.[Paolo], Montuori, M.[Marco], Pasini, A.[Antonello], Cuzzucoli, A.[Alice], Crotti, I.[Ilaria], Campana, E.F.[Emilio Fortunato], Petracchini, F.[Francesco], Dobricic, S.[Srdjan],
Forecasting PM10 Levels Using Machine Learning Models in the Arctic: A Comparative Study,
RS(15), No. 13, 2023, pp. 3348.
DOI Link 2307
BibRef

Li, B.[Bo], Liu, C.[Cheng], Hu, Q.H.[Qi-Hou], Sun, M.Z.[Ming-Zhai], Zhang, C.X.[Cheng-Xin], Zhu, Y.Z.[Yi-Zhi], Liu, T.[Ting], Guo, Y.[Yike], Carmichael, G.R.[Gregory R.], Gao, M.[Meng],
A Deep Learning Approach to Increase the Value of Satellite Data for PM2.5 Monitoring in China,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Tian, Z.Y.[Zhong-Yan], Wei, J.[Jing], Li, Z.Q.[Zhan-Qing],
How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning?,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Ni, W.J.[Wen-Jia], Ding, Y.[Yu], Li, S.W.[Si-Wei], Teng, M.[Mengfan], Yang, J.[Jie],
Estimation of Daily Seamless PM2.5 Concentrations with Climate Feature in Hubei Province, China,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Su, Z.W.[Zhang-Wen], Lin, L.[Lin], Xu, Z.[Zhenhui], Chen, Y.M.[Yi-Min], Yang, L.M.[Li-Ming], Hu, H.H.[Hong-Hao], Lin, Z.[Zipeng], Wei, S.[Shujing], Luo, S.[Sisheng],
Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Tian, Z.Y.[Zhong-Yan], Wei, J.[Jing], Li, Z.Q.[Zhan-Qing],
How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning?,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Ni, W.J.[Wen-Jia], Ding, Y.[Yu], Li, S.W.[Si-Wei], Teng, M.[Mengfan], Yang, J.[Jie],
Estimation of Daily Seamless PM2.5 Concentrations with Climate Feature in Hubei Province, China,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Su, Z.W.[Zhang-Wen], Lin, L.[Lin], Xu, Z.H.[Zhen-Hui], Chen, Y.M.[Yi-Min], Yang, L.M.[Li-Ming], Hu, H.H.[Hong-Hao], Lin, Z.P.[Zi-Peng], Wei, S.J.[Shu-Jing], Luo, S.S.[Si-Sheng],
Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Fan, K.[Kunkun], Li, D.[Daichao], Li, C.[Cong], Jin, X.L.[Xin-Lei], Ding, F.[Fei], Zeng, Z.[Zhan],
Analysis of PM2.5 Synergistic Governance Path from a Socio-Economic Perspective: A Case Study of Guangdong Province,
IJGI(12), No. 8, 2023, pp. 340.
DOI Link 2309
BibRef

Zhu, X.S.[Xin-Sheng], Yao, C.Y.[Chen-Yu],
Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns,
RS(15), No. 16, 2023, pp. 4069.
DOI Link 2309
BibRef

Yu, X.Y.[Xin-Yu], Xi, M.Z.[Meng-Zhu], Wu, L.Y.[Li-Yang], Zheng, H.[Hui],
Spatiotemporal Weighted for Improving the Satellite-Based High-Resolution Ground PM2.5 Estimation Using the Light Gradient Boosting Machine,
RS(15), No. 16, 2023, pp. 4104.
DOI Link 2309
BibRef

Ma, Y.[Yu], Zhang, W.H.[Wen-Hao], Chen, X.Y.[Xiao-Yang], Zhang, L.[Lili], Liu, Q.Y.[Qi-Yue],
High Spatial Resolution Nighttime PM2.5 Datasets in the Beijing-Tianjin-Hebei Region from 2015 to 2021 Using VIIRS/DNB and Deep Learning Model,
RS(15), No. 17, 2023, pp. 4271.
DOI Link 2310
BibRef

Wang, J.W.[Jun-Wei], Gao, K.[Kun], Hu, X.Q.[Xiu-Qing], Zhang, X.[Xiaodian], Wang, H.[Hong], Hu, Z.[Zibo], Yang, Z.J.[Zhi-Jia], Zhang, P.[Peng],
PM2.5 Estimation in Day/Night-Time from Himawari-8 Infrared Bands via a Deep Learning Neural Network,
RS(15), No. 20, 2023, pp. 4905.
DOI Link 2310
BibRef

Chu, W.H.[Wen-Hao], Zhang, C.X.[Chun-Xiao], Li, H.[Heng],
Bridging the Data Gap: Enhancing the Spatiotemporal Accuracy of Hourly PM2.5 Concentration through the Fusion of Satellite-Derived Estimations and Station Observations,
RS(15), No. 20, 2023, pp. 4973.
DOI Link 2310
BibRef

Islam, M.S.[Md Sariful], Roy, S.[Shimul], Tusher, T.R.[Tanmoy Roy], Rahman, M.[Mizanur], Harris, R.C.[Ryley C.],
Assessment of Spatio-Temporal Variations in PM2.5 and Associated Long-Range Air Mass Transport and Mortality in South Asia,
RS(15), No. 20, 2023, pp. 4975.
DOI Link 2310
BibRef

Fu, Q.M.[Qi-Ming], Guo, H.[Hong], Gu, X.F.[Xing-Fa], Li, J.[Juan], Zhang, W.H.[Wen-Hao], Mi, X.F.[Xiao-Fei], Zhao, Q.C.[Qi-Chao], Chen, D.[Debao],
High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble Learning Model Using Multi-Source Satellite TOA Data,
RS(15), No. 23, 2023, pp. 5489.
DOI Link 2312
BibRef

Yang, Y.J.[Yu-Jie], Wang, Z.[Zhige], Cao, C.X.[Chun-Xiang], Xu, M.[Min], Yang, X.W.[Xin-Wei], Wang, K.[Kaimin], Guo, H.[Heyi], Gao, X.T.[Xiao-Tong], Li, J.B.[Jing-Bo], Shi, Z.[Zhou],
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods,
RS(16), No. 3, 2024, pp. 467.
DOI Link 2402
BibRef

Wu, S.H.[Shu-Hui], Sun, Y.X.[Yu-Xin], Bai, R.[Rui], Jiang, X.X.[Xing-Xing], Jin, C.L.[Chun-Lin], Xue, Y.[Yong],
Estimation of PM2.5 and PM10 Mass Concentrations in Beijing Using Gaofen-1 Data at 100 m Resolution,
RS(16), No. 4, 2024, pp. 604.
DOI Link 2402
BibRef


Ulutas, K., Abujayyab, S.K.M., Karas, I.R.,
Evaluation of Particulate Matter (PM10) Distributions in Izmir Using Geographic Information Systems for Smart Cities Applications,
SmartCityApp21(545-555).
DOI Link 2201
BibRef

Saleous, N., Issa, S., Alsuwaidi, M.,
Using Modis Aerosol Optical Depth to Predict PM10 Over Al Ain Region, Uae,
ISPRS21(B3-2021: 419-423).
DOI Link 2201
BibRef

Masinde, C.J., Gitahi, J., Hahn, M.,
Training Recurrent Neural Networks for Particulate Matter Concentration Prediction,
ISPRS20(B2:1575-1582).
DOI Link 2012
BibRef

Fan, H., Yang, M., Xiao, F., Zhao, K.,
Predicting Daily Pm2.5 Using Weighted Long Short-term Memory Neural Network Model,
ISPRS20(B3:1451-1455).
DOI Link 2012
BibRef

Wang, X., Zhang, L., Bo, Q., Feng, J., Hu, J., Kang, Y., Zhang, J.,
Feature Enhancement and Fusion for Image-Based Particle Matter Estimation With F-MSE Loss,
ICIP20(768-772)
IEEE DOI 2011
Feature extraction, Meteorology, Estimation, Indexes, Training, Fuses, Predictive models, Particulate Matter, Feature Enhancement, Loss Function BibRef

Aspeel, A., Gouverneur, A., Jungers, R.M., Macq, B.,
Optimal Measurement Budget Allocation For Particle Filtering,
ICIP20(1-5)
IEEE DOI 2011
Atmospheric measurements, Particle measurements, Genetic algorithms, Monte Carlo methods, Mathematical model BibRef

Lehmann, K., Minhans, A., Fajari, M.K., Hahn, M.,
Assessment of Low-cost Particulate Matter Sensors,
SMPR19(671-677).
DOI Link 1912
BibRef

Chakma, A.[Avijoy], Vizena, B.[Ben], Cao, T.T.[Ting-Ting], Lin, J.[Jerry], Zhang, J.[Jing],
Image-Based Air Quality Analysis Using Deep Convolutional Neural Network,
ICIP17(3949-3952)
IEEE DOI 1803
aerosols, air pollution, air quality, atmospheric techniques, diseases, geophysical image processing, neural nets, Particulate Matter BibRef

Zhu, Z.B.[Zan-Bo], Zhao, R.B.[Ruo-Bing], Ni, J.Y.[Jian-Yuan], Zhang, J.[Jing],
Image and Spectrum Based Deep Feature Analysis for Particle Matter Estimation with Weather Informatio,
ICIP19(3427-3431)
IEEE DOI 1910
Deep Features, Particle Matter, Image, Spectrum, Weather Information BibRef

Babaan, J.B., Ballori, J.P., Tamondong, A.M., Ramos, R.V., Ostrea, P.M.,
Estimation of Pm2.5 Vertical Distribution Using Customized Uav And Mobile Sensors In Brgy. Up Campus, Diliman, Quezon City,
GeoDisast18(89-103).
DOI Link 1901
BibRef

Hart, R., Chang, H., Lou, Y.,
Empirical Studies on Phase Retrieval,
IVMSP18(1-5)
IEEE DOI 1809
Discrete Fourier transforms, Atmospheric measurements, Particle measurements, Phase measurement, Convergence, Approximation algorithms BibRef

Bo, Q., Yang, W., Rijal, N., Xie, Y., Feng, J., Zhang, J.,
Particle Pollution Estimation from Images Using Convolutional Neural Network and Weather Features,
ICIP18(3433-3437)
IEEE DOI 1809
Feature extraction, Predictive models, Indexes, Training, Humidity, Wind speed, Particulate Matter, Image, Weather, Support Vector Regression BibRef

Becerra, M.A.[Miguel A.], Sánchez, M.B.[Marcela Bedoya], Carvajal, J.G.[Jacobo García], Guzmán Luna, J.A.[Jaime A.], Peluffo-Ordóńez, D.H.[Diego H.], Tobón, C.[Catalina],
Data Fusion from Multiple Stations for Estimation of PM2.5 in Specific Geographical Location,
CIARP16(426-433).
Springer DOI 1703
BibRef

Li, Y.N.[Yue-Nan], Wang, J.J.[Jian-Jun], Chen, C.[Cheng], Chen, Y.F.[Yi-Fei], Li, J.[Jonathan],
Estimating Pm2.5 In The Beijing-tianjin-hebei Region Using Modis Aod Products From 2014 To 2015,
ISPRS16(B2: 721-727).
DOI Link 1610
BibRef

Zhai, L., Sang, H., Zhang, J., An, F.,
Estimating the spatial distribution of PM2.5 concentration by integrating geographic data and field measurements,
IWIDF15(209-213).
DOI Link 1508
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Pollution, Black Carbon .


Last update:Mar 16, 2024 at 20:36:19