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Geographically and temporally weighted neural network,
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2010
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Ferrara, J.[Jonathan],
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Antuña-Sánchez, J.C.[Juan Carlos],
Cachorro, V.E.[Victoria E.],
Calle, A.[Abel],
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Characterization of Stratospheric Smoke Particles over the Antarctica
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2011
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de Hoogh, K.[Kees],
Kloog, I.[Itai],
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Vieno, M.[Massimo],
Gasparrini, A.[Antonio],
A Satellite-Based Spatio-Temporal Machine Learning Model to
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2011
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2011
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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
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2012
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Shi, S.Y.[Shuai-Yi],
Studying the Regional Transmission and Inferring the Local/External
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2012
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Mashayekhi, R.[Rabab],
Zhao, X.Y.[Xiao-Yi],
Eskes, H.[Henk],
Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels
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2012
BibRef
Roux, E.[Emmanuel],
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Gracie, R.[Renata],
Gurgel, H.[Helen],
de Sousa Hacon, S.[Sandra],
de A. F. M. Magalhães, 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
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2012
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Qin, K.,
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Bilal, M.,
Estimation of Hourly Ground-Level PM2.5 Concentration Based on
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IEEE DOI
2012
Aerosols, Atmospheric modeling, Estimation, Satellites,
Spatial resolution, Monitoring, MODIS, Aerosol optical depth (AOD),
particulate matter (PM2.5)
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Kianian, B.[Behzad],
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Imputing Satellite-Derived Aerosol Optical Depth Using a
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2101
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Chen, N.C.[Neng-Cheng],
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PM2.5 Estimation and Spatial-Temporal Pattern Analysis Based on the
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2101
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Xue, W.H.[Wen-Hao],
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Hu, X.M.[Xiao-Min],
Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue
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2102
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Zheng, T.S.[Tong-Shu],
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Local PM2.5 Hotspot Detector at 300 m Resolution: A Random
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2104
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Jia, X.F.[Xiao-Fang],
Jiao, J.[Jian],
Ma, Q.L.[Qian-Li],
Wu, D.Q.[Dong-Qiao],
Shu, Z.Z.[Zhuo-Zhi],
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Habtemicheal, B.A.[Birhanu Asmerom],
Evaluations of Surface PM10 Concentration and Chemical Compositions
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2104
BibRef
Xu, X.,
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IEEE DOI
2104
Atmospheric modeling, Predictive models, Time series analysis,
Logic gates, Air pollution, Neural networks,
PM2.5
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Mao, W.[Wanliu],
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Zhang, L.[Liang],
Non-Linear Response of PM2.5 Pollution to Land Use Change in China,
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2105
BibRef
Chen, Y.J.[Yi-Jun],
Wu, S.[Sensen],
Wang, Y.Y.[Yuan-Yuan],
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Liu, R.Y.[Ren-Yi],
Du, Z.H.[Zhen-Hong],
Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with
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RS(13), No. 10, 2021, pp. xx-yy.
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2105
BibRef
Wu, T.[Tao],
Zhou, L.X.[Li-Xia],
Jiang, G.J.[Guo-Jun],
Meadows, M.E.[Michael E.],
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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
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RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
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Lee, C.[Changsuk],
Lee, K.[Kyunghwa],
Kim, S.[Sangmin],
Yu, J.H.[Jin-Hyeok],
Jeong, S.[Seungtaek],
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Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite
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RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
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Xuan, W.H.[Wei-Hao],
Zhang, F.[Feng],
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Du, Z.H.[Zhen-Hong],
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Improving Geographically Weighted Regression Considering Directional
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IJGI(10), No. 6, 2021, pp. xx-yy.
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2106
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Tang, Y.M.[Yu-Ming],
Deng, R.[Ruru],
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Liang, Y.[Yeheng],
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Liu, Y.M.[Yong-Ming],
Zhang, R.[Ruihao],
Hua, Z.Q.[Zhen-Qun],
Estimation of Ultrahigh Resolution PM2.5 Mass Concentrations Based on
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2107
BibRef
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Shi, W.Z.[Wen-Zhong],
Yan, X.[Xing],
Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from
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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
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RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Le Roux, J.[Jeanné],
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Maskey, M.[Manil],
Exploring the Use of PlanetScope Data for Particulate Matter Air
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RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
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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
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RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Wang, Y.J.[Yan-Jun],
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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
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RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
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Chau, K.[Khang],
Franklin, M.[Meredith],
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Garay, M.[Michael],
Kalashnikova, O.[Olga],
Temporal and Spatial Autocorrelation as Determinants of Regional
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RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
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Jung, C.R.[Chau-Ren],
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A National-Scale 1-km Resolution PM2.5 Estimation Model over Japan
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RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
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Ma, X.[Xin],
Jiang, W.C.[Wei-Cheng],
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Variations in Nocturnal Residual Layer Height and Its Effects on
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RS(13), No. 22, 2021, pp. xx-yy.
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2112
BibRef
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RS(13), No. 22, 2021, pp. xx-yy.
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2112
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Wu, S.H.[Shu-Hui],
Zhou, X.[Xiran],
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2112
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Detection of Particulate Matter Changes Caused by 2020 California
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2112
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Geographic Graph Network for Robust Inversion of Particulate Matters,
RS(13), No. 21, 2021, pp. xx-yy.
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2112
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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
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RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
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Lu, M.Y.[Ming-Yue],
Lao, T.F.[Teng-Fei],
Yu, M.Z.[Man-Zhu],
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Li, Y.C.[Yu-Chen],
PM2.5 Concentration Forecasting over the Central Area of the Yangtze
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RS(13), No. 23, 2021, pp. xx-yy.
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2112
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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
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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:
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IEEE DOI
2112
Aerosols, Spatiotemporal phenomena, Earth Observing System,
Atmospheric modeling, Atmospheric measurements, Air pollution,
Visible Infrared Imaging Radiometer Suite (VIIRS)
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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
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2112
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The Effect of Urban Form on PM2.5 Concentration: Evidence from
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RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
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Bai, K.X.[Kai-Xu],
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Guo, J.P.[Jian-Ping],
Chang, N.B.[Ni-Bin],
Multiscale and multisource data fusion for full-coverage PM2.5
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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
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RS(14), No. 3, 2022, pp. xx-yy.
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2202
BibRef
Ma, P.L.[Pei-Long],
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
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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
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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
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IET-IPR(16), No. 4, 2022, pp. 1008-1016.
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2203
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A robust photo-based PM2.5 monitoring method by combining linear and
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IET-IPR(16), No. 4, 2022, pp. 1000-1007.
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2203
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Yao, S.Q.[Shi-Qi],
Luo, H.W.[Hao-Wen],
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Estimating High-Resolution PM2.5 Concentrations by Fusing Satellite
AOD and Smartphone Photographs Using a Convolutional Neural Network
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RS(14), No. 6, 2022, pp. xx-yy.
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2204
BibRef
Wu, P.[Peng],
Song, Y.Z.[Yong-Ze],
Land Use Quantile Regression Modeling of Fine Particulate Matter in
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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],
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Intelligent systems, Tail, Transformers, Time series analysis,
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How Important Is Satellite-Retrieved Aerosol Optical Depth in
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
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