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Articles

Spatiotemporal mixed effects modeling for the estimation of PM2.5 from MODIS AOD over the Indian subcontinent

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Wenjing Mao, Limin Jiao, Weilin Wang, Jianlong Wang, Xueli Tong & Suli Zhao. (2021) A hybrid integrated deep learning model for predicting various air pollutants. GIScience & Remote Sensing 58:8, pages 1395-1412.
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Ganghan Kim, Seunghee Lee, Jungho Im, Chang-Keun Song, Jhoon Kim & Myong-in Lee. (2021) Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period. GIScience & Remote Sensing 58:7, pages 1175-1194.
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Wilawan Kumharn, Sumridh Sudhibrabha, Kesrin Hanprasert, Serm Janjai, Itsara Masiri, Sumaman Buntoung, Somjet Pattarapanitchai, Rungrat Wattan, Choedtrakool Homchampa, Terathan Srimaha, Oradee Pilahome, Waichaya Nissawan & Yuttapichai Jankondee. (2023) Estimating hourly full-coverage PM2.5 concentrations model based on MODIS data over the northeast of Thailand. Modeling Earth Systems and Environment.
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Yuxin Sun, Yong Xue, Tengfei Cui, Xingxing Jiang, Shuhui Wu & Chunlin Jin. (2023) Estimation of Hourly PM 2.5 Mass Concentration from Geostationary Satellite Aerosol Optical Depth Data . Estimation of Hourly PM 2.5 Mass Concentration from Geostationary Satellite Aerosol Optical Depth Data .
Yeseul Cho, Jhoon Kim, Jeewoo Lee, Myungje Choi, Hyunkwang Lim, Seoyoung Lee & Jungho Im. (2023) Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning. Atmospheric Research 290, pages 106787.
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Moses N. Njeru, Elijah Mwangi, Ian Kaniu & Michael Gatari. (2023) Application of Remote Sensing in Determining Particulate Matter Pollution. Application of Remote Sensing in Determining Particulate Matter Pollution.
Yunhui Tan, Quan Wang & Zhaoyang Zhang. (2023) Coupling the linear mixed effects model with random forest improves hourly PM2.5 estimation from Himawari-8 AOD over the Yangtze River Delta. Atmospheric Pollution Research 14:5, pages 101739.
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Jianqiong Deng, Shi Qiu, Yu Zhang, Haodong Cui, Kun Li, Hongjia Cheng, Zhaoyan Liu, Xianhui Dou & Yonggang Qian. (2023) Estimating Nighttime PM2.5 Concentration in Beijing Based on NPP/VIIRS Day/Night Band. Remote Sensing 15:2, pages 349.
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Mengdan Cao, Ming Zhang, Xin Su & Lunche Wang. (2023) A Two-Stage Machine Learning Algorithm for Retrieving Multiple Aerosol Properties Over Land: Development and Validation. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-17.
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Truong X. Ngo, Ha V. Pham, Hieu D.T. Phan, Anh T.N. Nguyen, Hien T. To & Thanh T.N. Nguyen. (2023) A daily and complete PM2.5 dataset derived from space observations for Vietnam from 2012 to 2020. Science of The Total Environment 857, pages 159537.
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Aulia Nisa’ul Khoir, Maggie Chel Gee Ooi & Nur Nazmi Liyana Binti Mohd Napi. 2023. Vegetation Fires and Pollution in Asia. Vegetation Fires and Pollution in Asia 173 186 .
Wilawan Kumharn, Sumridh Sudhibrabha, Kesrin Hanprasert, Serm Janjai, Itsara Masiri, Sumaman Buntoung, Somjet Pattarapanitchai, Rungrat Wattan, Oradee Pilahome, Waichaya Nissawan & Yuttapichai Jankondee. (2022) Improved Hourly and long-term PM2.5 Prediction Modeling Based on MODIS in Bangkok. Remote Sensing Applications: Society and Environment 28, pages 100864.
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Weijie Fu, Xu Yue, Zhengqiang Li, Chenguang Tian, Hao Zhou, Kaitao Li, Yuwen Chen, Xu Zhao, Yuan Zhao & Yihan Hu. (2022) Decoupling between PM2.5 concentrations and aerosol optical depth at ground stations in China. Frontiers in Environmental Science 10.
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Li-Na Gao, Fei Tao, Pei-Long Ma, Chen-Yi Wang, Wei Kong, Wen-Kai Chen & Tong Zhou. (2022) A short-distance healthy route planning approach. Journal of Transport & Health 24, pages 101314.
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Peilong Ma, Fei Tao, Lina Gao, Shaijie Leng, Ke Yang & Tong Zhou. (2022) Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple Machine Learning Models. Remote Sensing 14:3, pages 599.
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Jong-Min Yeom, Seungtaek Jeong, Jong-Sung Ha, Kwon-Ho Lee, Chang-Suk Lee & Seonyoung Park. (2022) Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-12.
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Yoojin Kang, Miae Kim, Eunjin Kang, Dongjin Cho & Jungho Im. (2022) Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia. ISPRS Journal of Photogrammetry and Remote Sensing 183, pages 253-268.
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Joseph K. Mhango, W. Edwin Harris & James M. Monaghan. (2021) Relationships between the Spatio-Temporal Variation in Reflectance Data from the Sentinel-2 Satellite and Potato (Solanum Tuberosum L.) Yield and Stem Density. Remote Sensing 13:21, pages 4371.
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Jatin Bedi & Durga Toshniwal. (2021) Can electricity demand lead to air pollution? A spatio-temporal analysis of electricity demand with climatic conditions. Renewable and Sustainable Energy Reviews 136, pages 110413.
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Prem Maheshwarkar & Ramya Sunder Raman. (2021) Population exposure across central India to PM2.5 derived using remotely sensed products in a three-stage statistical model. Scientific Reports 11:1.
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Zhiyu Fan, Qingming Zhan, Chen Yang, Huimin Liu & Muhammad Bilal. (2020) Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale. Remote Sensing 12:20, pages 3368.
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