Estimate hourly PM2.5 concentrations from Himawari-8 TOA reflectance directly using geo-intelligent long short-term memory network

Hourly PM2.5 Estimation over Central and Eastern China Based on Himawari-8 Data

(2020) Yong Xue et al.   Remote Sensing

Spatiotemporal trends of PM2.5 concentrations in central China from 2003 to 2018 based on MAIAC-derived high-resolution data

(2020) Qingqing He et al.   ENVIRONMENT INTERNATIONAL

Characterization, Pollution Sources, and Health Risk of Ionic and Elemental Constituents in PM2.5 of Wuhan, Central China

(2020) Weiqian Wang et al.   Atmosphere

Spatiotemporal distributions of surface ozone levels in China from 2005 to 2017: A machine learning approach

(2020) Riyang Liu et al.   ENVIRONMENT INTERNATIONAL

Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5

(2020) Tongwen Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Deep Learning Approach to Improve the Retrieval of Temperature and Humidity Profiles From a Ground-Based Microwave Radiometer

(2020) Xing Yan et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model

(2019) Massimo Stafoggia et al.   ENVIRONMENT INTERNATIONAL

A spatially structured adaptive two-stage model for retrieving ground-level PM2.5 concentrations from VIIRS AOD in China

(2019) Fei Yao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

MODIS AOD sampling rate and its effect on PM2.5 estimation in North China

(2019) Zijue Song et al.   ATMOSPHERIC ENVIRONMENT

Satellite-based PM2.5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm

(2019) Jianjun Liu et al.   ATMOSPHERIC ENVIRONMENT

A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks

(2019) Ebrahim Eslami et al.   NEURAL COMPUTING & APPLICATIONS

Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China

(2019) Unjin Pak et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach

(2019) Jing Wei et al.   REMOTE SENSING OF ENVIRONMENT

Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation

(2019) Yuan Wang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network

(2019) Qunli Wu et al.   Sustainable Cities and Society

Constructing a PM2.5 concentration prediction model by combining auto-encoder with Bi-LSTM neural networks

(2019) Bo Zhang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Estimating ground-level particulate matter concentrations using satellite-based data: a review

(2019) Minso Shin et al.   GIScience & Remote Sensing

Prediction of hourly PM 2.5 using a space-time support vector regression model

(2018) Wentao Yang et al.   ATMOSPHERIC ENVIRONMENT

Estimating hourly PM 1 concentrations from Himawari-8 aerosol optical depth in China

(2018) Lin Zang et al.   ENVIRONMENTAL POLLUTION

Predicting monthly high-resolution PM 2.5 concentrations with random forest model in the North China Plain

(2018) Keyong Huang et al.   ENVIRONMENTAL POLLUTION

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Satellite-Based Estimation of Hourly PM2.5 Concentrations Using a Vertical-Humidity Correction Method from Himawari-AOD in Hebei

(2018) Qiaolin Zeng et al.   SENSORS

Applying linear and nonlinear models for the estimation of particulate matter variability

(2018) Chris G. Tzanis et al.   ENVIRONMENTAL POLLUTION

Assimilation of PM2.5 ground base observations to two chemical schemes in WRF-Chem – The results for the winter and summer period

(2018) Małgorzata Werner et al.   ATMOSPHERIC ENVIRONMENT

Temporal and spatial variability of traffic-related PM2.5 sources: Comparison of exhaust and non-exhaust emissions

(2018) Cheol-Heon Jeong et al.   ATMOSPHERIC ENVIRONMENT

On wind speed pattern and energy potential in China

(2018) Fa Liu et al.   APPLIED ENERGY

Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

(2017) Tongwen Li et al.   GEOPHYSICAL RESEARCH LETTERS

The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations

(2017) Qianqian Yang et al.   International Journal of Environmental Research and Public Health

Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China

(2017) Wei Wang et al.   Remote Sensing

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Satellite-based ground PM 2.5 estimation using timely structure adaptive modeling

(2016) Xin Fang et al.   REMOTE SENSING OF ENVIRONMENT

National-Scale Estimates of Ground-Level PM2.5 Concentration in China Using Geographically Weighted Regression Based on 3 km Resolution MODIS AOD

(2016) Wei You et al.   Remote Sensing

Daily Estimation of Ground-Level PM2.5 Concentrations over Beijing Using 3 km Resolution MODIS AOD

(2015) Yuanyu Xie et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

(2015) Yang Li et al.   Atmosphere

Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing

(2014) Zongwei Ma et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Coarse particulate matter associated with increased risk of emergency hospital admissions for pneumonia in Hong Kong

(2014) Hong Qiu et al.   THORAX

Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE)

(2013) Ole Raaschou-Nielsen et al.   LANCET ONCOLOGY

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

Estimating ground-level PM2.5 concentrations in the southeastern U.S. using geographically weighted regression

(2012) Xuefei Hu et al.   ENVIRONMENTAL RESEARCH

Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: Multiple regression approach

(2009) Pawan Gupta et al.   JOURNAL OF GEOPHYSICAL RESEARCH