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Disambiguation of "Li, Tongwen"

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Mapping PM2.5 distribution in China by fusing station measurements and satellite observation.

, , and . IGARSS, page 5761-5764. IEEE, (2016)

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M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

 

Other publications of authors with the same name

Deep Learning for Ground-Level PM2.5 Prediction from Satellite Remote Sensing Data., , , and . IGARSS, page 7581-7584. IEEE, (2018)Quality Improvement of Satellite Soil Moisture Products by Fusing with In-Situ Measurements and GNSS-R Estimates in the Western Continental U.S., , , , , and . Remote Sensing, 10 (9): 1351 (2018)Estimating Snow-Depth by Fusing Satellite and Station Observations: A Deep Learning Approach., , , , and . IGARSS, page 4109-4112. IEEE, (2019)A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM₂.₅., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Mapping PM2.5 distribution in China by fusing station measurements and satellite observation., , and . IGARSS, page 5761-5764. IEEE, (2016)Estimating Surface Soil Moisture from Satellite Observations Using Machine Learning Trained on In Situ Measurements in the Continental U.S., , , , and . IGARSS, page 6166-6169. IEEE, (2019)Validation of MODIS 1-Km MAIAC Aerosol Products with AERONET in China During 2008-2016., , , , , and . IGARSS, page 7610-7613. IEEE, (2019)Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations., , , , , and . Remote Sensing, 11 (12): 1440 (2019)Downscaling GNSS-R Based Vegetation Water Content Product Using Random Forest Model., , , , , and . IGARSS, page 6720-6723. IEEE, (2019)