Daixin Zhao

According to our database, Daixin Zhao authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty.

Daixin Zhao, Milad Asgarimehr, Konrad Heidler, Jens Wickert, Xiao Xiang Zhu, Lichao Mou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Multimodal GNSS-R self-supervised learning as a generalist Earth surface monitor.

Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Conrad M. Albrecht, Jens Wickert, Xiao Xiang Zhu, Lichao Mou

Int. J. Appl. Earth Obs. Geoinformation, 2025

2024

Deep Learning in Spaceborne GNSS Reflectometry: Correcting Precipitation Effects on Wind Speed Products.

Tianqi Xiao, Caroline Arnold, Daixin Zhao, Lichao Mou, Jens Wickert, Milad Asgarimehr

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Evaluating Feature Impact on Ocean Wind Speed Predictions: An Application of Explainable AI to GNSS Reflectometry Data.

Tianqi Xiao, Milad Asgarimehr, Jens Wickert, Daixin Zhao, Lichao Mou, Caroline Arnold

Proceedings of the IGARSS 2024, 2024

2023

DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks.

Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Caroline Arnold, Tianqi Xiao, Jens Wickert, Xiao Xiang Zhu, Lichao Mou

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023