Thanh Huy Nguyen
Orcid: 0000-0003-2471-350XAffiliations:
- IMT Atlantique, France (PhD 2020)
- Université Laval, Department of Geomatics, Canada
According to our database1,
Thanh Huy Nguyen
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations.
IEEE Trans. Geosci. Remote. Sens., 2024
Drought Monitoring in Luxembourg and the Greater Region Using Hydrological Modelling and Satellite Data.
Proceedings of the IGARSS 2024, 2024
The SCO-Flooddam Digital Twin Project: A Pre-Operational Demonstrator for Flood Detection, Mapping, Prediction and Risk Impact Assessment.
Proceedings of the IGARSS 2024, 2024
Assimilation of SWOT Altimetry And Sentinel-1 Flood Extent Observations for Flood Reanalysis - A Proof-Of-Concept.
Proceedings of the IGARSS 2024, 2024
Early Flood Warning Using Satellite-Derived Convective System and Precipitation Data - A Retrospective Case Study of Central Vietnam.
Proceedings of the IGARSS 2024, 2024
2023
The SCO-Flooddam Project: Towards A Digital Twin for Flood Detection, Prediction and Flood Risk Assessments.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Dealing with Non-Gaussianity of SAR-Derived Wet Surface Ratio for Flood Extent Representation Improvement.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Reducing Uncertainties of a Chained Hydrologic-Hydraulic Models to Improve Flood Forecasting Using Multi-Source Earth Observation Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation.
IEEE Trans. Geosci. Remote. Sens., 2022
2021
The Sco-Flooddam Project: New Observing Strategies for Flood Detection, Alert and Rapid Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
A versatile and efficient data fusion methodology for heterogeneous airborne LiDAR and optical imagery data acquired under unconstrained conditions. (Une méthodologie versatile et efficace de fusion de données aéroportées hétérogènes issues de capteurs LiDAR et d'imagerie optique acquises sous des conditions non-contraintes).
PhD thesis, 2020
Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Super-Resolution-Based Snake Model - An Unsupervised Method for Large-Scale Building Extraction Using Airborne LiDAR Data and Optical Image.
Remote. Sens., 2020
2019
Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data.
CoRR, 2019
Robust Building-Based Registration of Airborne Lidar Data and Optical Imagery on Urban Scenes.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019