Tongwen Li

发表

Estimating Regional Ground‐Level PM2.5 Directly From Satellite Top‐Of‐Atmosphere Reflectance Using Deep Belief Networks

Liang-pei Zhang, Huanfeng Shen, Q. Yuan, 2017, Journal of Geophysical Research: Atmospheres.

Point-surface fusion of station measurements and satellite observations for mapping PM 2.5 distribution in China: Methods and assessment

Liang-pei Zhang, Huanfeng Shen, Q. Yuan, 2016, 1607.02976.

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

Liangpei Zhang, Xuechen Zhang, Huanfeng Shen, 2017, 1707.03558.

Mapping PM2.5 concentration at high resolution using a cascade random forest based downscaling model: Evaluation and application

Q. Yuan, Tongwen Li, Linwei Yue, 2020 .

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

Huanfeng Shen, Qiangqiang Yuan, Tongwen Li, 2017, International journal of environmental research and public health.

Real-time and Seamless Monitoring of Ground-level PM2.5 Using Satellite Remote Sensing

Liang-pei Zhang, Huanfeng Shen, Q. Yuan, 2018, 1803.03409.

The relationships between PM2.5 and AOD in China: About and behind spatiotemporal variations

Huanfeng Shen, Qiangqiang Yuan, Linwei Yue, 2018, 1808.05729.

Estimating snow depth by combining satellite data and ground-based observations over Alaska: A deep learning approach

Liang-pei Zhang, Huanfeng Shen, Q. Yuan, 2020, Journal of Hydrology.

Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the continental U.S

Huanfeng Shen, Qiangqiang Yuan, Tongwen Li, 2020 .

Investigation of the spatially varying relationships of PM2.5 with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regression.

Q. Yuan, Tongwen Li, Linwei Yue, 2020, Environmental pollution.

The Effects of Fireworks Discharge on Atmospheric PM2.5 Concentration in the Chinese Lunar New Year

Liang-pei Zhang, Huanfeng Shen, Tongwen Li, 2020, International journal of environmental research and public health.

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

Liang-pei Zhang, Q. Yuan, Tongwen Li, 2020, Environmental pollution.

Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China

Huanfeng Shen, Tongwen Li, Hairong Cheng, 2019, International journal of environmental research and public health.

An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone

Huanfeng Shen, Tongwen Li, Jingan Wu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data

Huanfeng Shen, Tongwen Li, Xinghua Li, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Point-surface fusion of station measurements and satellite observations for mapping PM 2.5 distribution in China: Methods and assessment

Liang-pei Zhang, Huanfeng Shen, Q. Yuan, 2016, 1607.02976.

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

Liang-pei Zhang, Huanfeng Shen, Q. Yuan, 2017, International journal of environmental research and public health.

Real-time and Seamless Monitoring of Ground-level PM2.5 Using Satellite Remote Sensing

Liang-pei Zhang, Huanfeng Shen, Q. Yuan, 2018, 1803.03409.

Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network

Tongwen Li, Qianqian Yang, Jingan Wu, 2022, Geoscience Frontiers.

Cascaded Downscaling–Calibration Networks for Satellite Precipitation Estimation

Huanfeng Shen, Tongwen Li, Xinghua Li, 2022, IEEE Geoscience and Remote Sensing Letters.

Deriving gapless CO2 concentrations using a geographically weighted neural network: China, 2014-2020

Tongwen Li, Jingan Wu, Ling-Xiao Zhang, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations

Qiangqiang Yuan, Linwei Yue, Liangpei Zhang, 2019, Remote. Sens..

Deep learning in environmental remote sensing: Achievements and challenges

Hongzhang Xu, Weiwei Tan, Shuwen Li, 2020, Remote Sensing of Environment.

The influence of urban planning factors on PM2.5 pollution exposure and implications: A case study in China based on remote sensing, LBS, and GIS data.

Huanfeng Shen, Tongwen Li, Man Yuan, 2019, The Science of the total environment.

Effects of urban form on haze pollution in China: Spatial regression analysis based on PM2.5 remote sensing data

Huanfeng Shen, Tongwen Li, Man Yuan, 2018, Applied Geography.

Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP

Q. Yuan, Tongwen Li, Liye Zhu, 2021 .

Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces

Yuan Wang, Huanfeng Shen, Qiangqiang Yuan, 2018, Atmospheric Environment.

Global spatiotemporal estimation of daily high-resolution surface carbon monoxide concentrations using Deep Forest

Q. Yuan, Tongwen Li, Liye Zhu, 2022, Journal of Cleaner Production.

Estimating daily full-coverage and high-accuracy 5-km ambient particulate matters across China: considering their precursors and chemical compositions

Q. Yuan, Tongwen Li, Siyu Tan, 2020 .

An attention mechanism based convolutional network for satellite precipitation downscaling over China

Huanfeng Shen, Tongwen Li, Xinghua Li, 2022, Journal of Hydrology.

Remote sensing estimation of surface PM2.5 concentrations using a deep learning model improved by data augmentation and a particle size constraint

Tongwen Li, Xiao Cheng, Jingan Wu, 2022, Atmospheric Environment.

Exploring the association between the built environment and remotely sensed PM2.5 concentrations in urban areas

Yan Song, Yaping Huang, Huanfeng Shen, 2019, Journal of Cleaner Production.

Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data

Liangpei Zhang, Yun Jiang, Huanfeng Shen, 2020, 2001.04650.

Reconstructing global PM2.5 monitoring dataset from OpenAQ using a two-step spatio-temporal model based on SES-IDW and LSTM

Huanfeng Shen, Q. Yuan, Tongwen Li, 2022 .

Ultrahigh-resolution PM2.5 estimation from top-of-atmosphere reflectance with machine learning: Theories, methods, and applications.

Q. Yuan, Tongwen Li, Qianqian Yang, 2022, Environmental pollution.

Fusing Landsat 8 and Sentinel-2 data for 10-m dense time-series imagery using a degradation-term constrained deep network

Huanfeng Shen, Tongwen Li, Jingan Wu, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Remote Sensing Estimation of Regional NO2 via Space-Time Neural Networks

Yuan Wang, Qiangqiang Yuan, Tongwen Li, 2020, Remote. Sens..

A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM2.5 Estimation

Huanfeng Shen, Qiangqiang Yuan, Tongwen Li, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Yuan Wang, Huanfeng Shen, Qiangqiang Yuan, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations.

Huanfeng Shen, Qiangqiang Yuan, Linwei Yue, 2019, Environmental pollution.

Global validation and hybrid calibration of CAMS and MERRA-2 PM2.5 reanalysis products based on OpenAQ platform

Q. Yuan, Tongwen Li, Yuan Wang, 2022, Atmospheric Environment.

Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach

Liangpei Zhang, Qianqian Yang, Huanfeng Shen, 2020 .

Integration of Remote Sensing and Social Sensing Data in a Deep Learning Framework for Hourly Urban PM2.5 Mapping

Chao Zeng, Man Zhou, Huanfeng Shen, 2019, International journal of environmental research and public health.

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

Liangpei Zhang, Huanfeng Shen, Qiangqiang Yuan, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Global air quality change during COVID-19: a synthetic analysis of satellite, reanalysis and ground station data

Huanfeng Shen, Q. Yuan, Tongwen Li, 2021, Environmental Research Letters.

A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM₂.₅

Huanfeng Shen, Q. Yuan, Tongwen Li, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Full-coverage spatiotemporal mapping of ambient PM2.5 and PM10 over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositions.

Q. Yuan, Tongwen Li, Siyu Tan, 2021, Science of the Total Environment.

Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data.

Tongwen Li, Tianxing Wang, Jingan Wu, 2023, The Science of the total environment.

Performance comparison of Fengyun-4A and Himawari-8 in PM2.5 estimation in China

Huanfeng Shen, Tongwen Li, Chao Zeng, 2021, Atmospheric Environment.

Estimating daily full-coverage surface ozone concentration using satellite observations and a spatiotemporally embedded deep learning approach

Tongwen Li, Xiao Cheng, Tongwen Li, 2021, Int. J. Appl. Earth Obs. Geoinformation.

A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task learning.

Q. Yuan, Tongwen Li, Qianqian Yang, 2022, The Science of the total environment.

Investigating the spatio-temporal variation of vegetation water content in the western United States by blending GNSS-IR, AMSR-E, and AMSR2 observables using machine learning methods

Q. Yuan, Tongwen Li, Linwei Yue, 2022, Science of Remote Sensing.

Quality Improvement of Satellite Soil Moisture Products by Fusing with In-Situ Measurements and GNSS-R Estimates in the Western Continental U.S

Liangpei Zhang, Hongzhang Xu, Huanfeng Shen, 2018, Remote. Sens..

retrieval : embedding machine learning to simulate complex 2 physical parameters

Q. Yuan, Tongwen Li, Yuan Wang, 2022 .

An optimized semi-empirical physical approach for satellite-based PM2.5 retrieval: embedding machine learning to simulate complex physical parameters

Q. Yuan, Tongwen Li, Yuan Wang, 2023, Geoscientific Model Development.

The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations.

Huanfeng Shen, Q. Yuan, Tongwen Li, 2019, Environmental pollution.

Hourly PM2.5 Concentration Monitoring With Spatiotemporal Continuity by the Fusion of Satellite and Station Observations

Jingan Wu, Tongwen Li, Huanfeng Shen, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Global estimates of gap-free and fine-scale CO2 concentrations during 2014-2020 from satellite and reanalysis data.

Tongwen Li, Jingan Wu, Ling-Xiao Zhang, 2023, Environment international.

Downscaling GNSS-R Based Vegetation Water Content Product Using Random Forest Model

Liangpei Zhang, Huanfeng Shen, Linwei Yue, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

ISPRS Journal of Photogrammetry and Remote Sensing

Huanfeng Shen, Tongwen Li, Li Zheng, 2022 .

Deep Learning for Ground-Level PM2.5 Prediction from Satellite Remote Sensing Data

Liangpei Zhang, Huanfeng Shen, Qiangqiang Yuan, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Estimating Regional Ground‐Level PM2.5 Directly From Satellite Top‐Of‐Atmosphere Reflectance Using Deep Belief Networks

Huanfeng Shen, Tongwen Li, Liangpei Zhang, 2017, Journal of Geophysical Research: Atmospheres.