Estimating Ground-Level Hourly PM2.5 Concentrations Over North China Plain with Deep Neural Networks
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimating Ground-Level Hourly PM2.5 Concentrations Over North China Plain with Deep Neural Networks
Authors
Keywords
-
Journal
Journal of the Indian Society of Remote Sensing
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-08
DOI
10.1007/s12524-021-01344-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations
- (2020) Lili Zhang et al. ENVIRONMENT INTERNATIONAL
- Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey
- (2020) Midyan Aldabash et al. Atmosphere
- Long-term exposure to ambient fine particulate matter (PM2.5) and incident type 2 diabetes: a longitudinal cohort study
- (2019) Xiang Qian Lao et al. DIABETOLOGIA
- Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land
- (2019) Wenhao Zhang et al. Remote Sensing
- Meteorological parameters and gaseous pollutant concentrations as predictors of daily continuous PM2.5 concentrations using deep neural network in Beijing–Tianjin–Hebei, China
- (2019) Xinpeng Wang et al. ATMOSPHERIC ENVIRONMENT
- Satellite-based high-resolution PM 2.5 estimation over the Beijing-Tianjin-Hebei region of China using an improved geographically and temporally weighted regression model
- (2018) Qingqing He et al. ENVIRONMENTAL POLLUTION
- Improve ground-level PM 2.5 concentration mapping using a random forests-based geostatistical approach
- (2018) Ying Liu et al. ENVIRONMENTAL POLLUTION
- Improved Hourly Estimates of Aerosol Optical Thickness Using Spatiotemporal Variability Derived From Himawari-8 Geostationary Satellite
- (2018) Maki Kikuchi et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Satellite-based mapping of daily high-resolution ground PM 2.5 in China via space-time regression modeling
- (2018) Qingqing He et al. REMOTE SENSING OF ENVIRONMENT
- A multidimensional comparison between MODIS and VIIRS AOD in estimating ground-level PM 2.5 concentrations over a heavily polluted region in China
- (2018) Fei Yao et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A machine learning method to estimate PM 2.5 concentrations across China with remote sensing, meteorological and land use information
- (2018) Gongbo Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- (2018) Tao Xue et al. ENVIRONMENT INTERNATIONAL
- The impact of ambient fine particles on influenza transmission and the modification effects of temperature in China: A multi-city study
- (2017) Gongbo Chen et al. ENVIRONMENT INTERNATIONAL
- Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach
- (2017) Xuefei Hu et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
- (2017) Ronald Gelaro et al. JOURNAL OF CLIMATE
- Estimating ground-level PM 2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model
- (2017) Yuanxi Guo et al. REMOTE SENSING OF ENVIRONMENT
- Estimating ground-level PM 2.5 concentrations over three megalopolises in China using satellite-derived aerosol optical depth measurements
- (2016) Yixuan Zheng et al. ATMOSPHERIC ENVIRONMENT
- The association between lung cancer incidence and ambient air pollution in China: A spatiotemporal analysis
- (2016) Yuming Guo et al. ENVIRONMENTAL RESEARCH
- Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD
- (2016) Wei You et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Aerosol data assimilation using data from Himawari-8, a next-generation geostationary meteorological satellite
- (2016) K. Yumimoto et al. GEOPHYSICAL RESEARCH LETTERS
- High-Resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression
- (2016) Bin Zou et al. IEEE Geoscience and Remote Sensing Letters
- High-resolution satellite-based analysis of ground-level PM 2.5 for the city of Montreal
- (2016) Baozhen Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Geographically and Temporally Weighted Regression Model for Ground-Level PM2.5 Estimation from Satellite-Derived 500 m Resolution AOD
- (2016) Yang Bai et al. Remote Sensing
- A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth
- (2016) Yuanyuan Chu et al. Atmosphere
- A New Method to Jointly Estimate the Mortality Risk of Long-Term Exposure to Fine Particulate Matter and its Components
- (2016) Dan L. Crouse et al. Scientific Reports
- Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City
- (2015) Allan C. Just et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Estimating PM2.5 in Xi'an, China using aerosol optical depth: A comparison between the MODIS and MISR retrieval models
- (2015) Wei You et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A new hybrid spatio-temporal model for estimating daily multi-year PM2.5 concentrations across northeastern USA using high resolution aerosol optical depth data
- (2014) Itai Kloog et al. ATMOSPHERIC ENVIRONMENT
- Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing
- (2014) Zongwei Ma et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Particulate Air Pollution, Ambulatory Heart Rate Variability, and Cardiac Arrhythmia in Retirement Community Residents with Coronary Artery Disease
- (2013) Scott M. Bartell et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Estimating ground-level PM2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model
- (2013) Xuefei Hu et al. REMOTE SENSING OF ENVIRONMENT
- Spatiotemporal air pollution exposure assessment for a Canadian population-based lung cancer case-control study
- (2012) Perry Hystad et al. Environmental Health
- Risk of Nonaccidental and Cardiovascular Mortality in Relation to Long-term Exposure to Low Concentrations of Fine Particulate Matter: A Canadian National-Level Cohort Study
- (2012) Dan L. Crouse et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Use of satellite-based aerosol optical depth and spatial clustering to predict ambient PM2.5 concentrations
- (2012) Hyung Joo Lee et al. ENVIRONMENTAL RESEARCH
- Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatiotemporal PM2.5 Exposures In The Mid-Atlantic States
- (2012) Itai Kloog et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Assessing temporally and spatially resolved PM2.5 exposures for epidemiological studies using satellite aerosol optical depth measurements
- (2011) Itai Kloog et al. ATMOSPHERIC ENVIRONMENT
- Exposure Assessment for Estimation of the Global Burden of Disease Attributable to Outdoor Air Pollution
- (2011) Michael Brauer et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications
- (2011) Michele M. Rienecker et al. JOURNAL OF CLIMATE
- Symptoms and Medication Use in Children with Asthma and Traffic-Related Sources of Fine Particle Pollution
- (2009) Janneane F. Gent et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: Multiple regression approach
- (2009) Pawan Gupta et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Spatial analysis of MODIS aerosol optical depth, PM2.5, and chronic coronary heart disease
- (2009) Zhiyong Hu International Journal of Health Geographics
- Spatiotemporal Associations between GOES Aerosol Optical Depth Retrievals and Ground-Level PM2.5
- (2008) Christopher J. Paciorek et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More