Tongwen Li

Orcid: 0000-0001-7197-3713

According to our database1, Tongwen Li authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2022
An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone.
IEEE Trans. Geosci. Remote. Sens., 2022

A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM₂.₅.
IEEE Trans. Geosci. Remote. Sens., 2022

Cascaded Downscaling-Calibration Networks for Satellite Precipitation Estimation.
IEEE Geosci. Remote. Sens. Lett., 2022

An attention mechanism based convolutional network for satellite precipitation downscaling over China.
CoRR, 2022

Deriving gapless CO<sub>2</sub> concentrations using a geographically weighted neural network: China, 2014-2020.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Fusing Landsat 8 and Sentinel-2 data for 10-m dense time-series imagery using a degradation-term constrained deep network.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Hourly PM<sub>2.5</sub> Concentration Monitoring With Spatiotemporal Continuity by the Fusion of Satellite and Station Observations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Estimating daily full-coverage surface ozone concentration using satellite observations and a spatiotemporally embedded deep learning approach.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM<sub>2.5</sub> Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Remote Sensing Estimation of Regional NO2 via Space-Time Neural Networks.
Remote. Sens., 2020

Recovery of the Carbon Monoxide Product from S5P-TROPOMI by Fusing Multiple Datasets: A Case Study in Hubei Province, China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations.
Remote. Sens., 2019

Estimating Surface Soil Moisture from Satellite Observations Using Machine Learning Trained on In Situ Measurements in the Continental U.S.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Validation of MODIS 1-Km MAIAC Aerosol Products with AERONET in China During 2008-2016.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Estimating Snow-Depth by Fusing Satellite and Station Observations: A Deep Learning Approach.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Downscaling GNSS-R Based Vegetation Water Content Product Using Random Forest Model.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Quality Improvement of Satellite Soil Moisture Products by Fusing with In-Situ Measurements and GNSS-R Estimates in the Western Continental U.S.
Remote. Sens., 2018

Deep Learning for Ground-Level PM2.5 Prediction from Satellite Remote Sensing Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
Mapping PM2.5 distribution in China by fusing station measurements and satellite observation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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