[About.me]

[About.me]

Researcher in Geomatics and Remote Sensing

Publications

Refereed Journals

  1. T. H. Nguyen, S. Ricci, F. Boy, A. Piacentini, S. Munier, S. Pena Luque, C. Fatras, L. Cassan, and R. Rodriguez Suquet, Chained Hydrologic-hydraulic for Flood Modeling by Assimilating SAR-derived Flood Extent and FFSAR-Processed Altimetry Data, Remote Sens. Environ. (under review).

  2. T. H. Nguyen, A. Piacentini, S. Ricci, L. Cassan, S. Munier, Q. Bonassies, and R. Rodriguez Suquet, Remote Sensing Data Assimilation with a Chained Hydrologic-hydraulic Model for Flood Forecasting, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (under review). [arXiv]

  3. C. Persello, S. Prasad, G. Vivone, V. Lonjou, F. Bretar, R. Rodriguez Suquet, P. Guntzburger, V. Poulain, J. Lemoigne-Stewart, B. Smith, S. Kumar, T. Huang, S. Ricci, T. H. Nguyen, and A. Piacentini, 2024 IEEE GRSS Data Fusion Contest: Rapid Flood Mapping, IEEE Geosci. Remote Sens. Mag. (accepted).

  4. T. H. Nguyen, S. Ricci, A. Piacentini, E. Simon, R. Rodriguez Suquet, S. Pena Luque, Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations, IEEE Trans. Geosci. Remote Sens., vol. 62, pp. 1-21, 2024, Art no. 4200521 (IF=8.125)
    DOI: 10.1109/TGRS.2023.3338296 [Publication] [arXiv]

  5. T. H. Nguyen, S. Ricci, A. Piacentini, C. Fatras, P. Kettig, G. Blanchet, S. Pena Luque, and S. Baillarin, Dual State-Parameter Assimilation of SAR-derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis, Water Resources Research, 58, e2022WR033155, 2022 (IF=6.159)
    DOI: 10.1029/2022WR033155 [Publication] [ESS Open Archive]

  6. T. H. Nguyen, S. Ricci, C. Fatras, A. Piacentini, A. Delmotte, E. Lavergne and P. Kettig, Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation, IEEE Trans. Geosci. Remote Sens., vol. 60, pp. 1-22, 2022, Art no. 4206022 (IF=8.125)
    DOI: 10.1109/TGRS.2022.3147429 [Publication] [arXiv]

  7. T. H. Nguyen, S. Daniel, D. Guériot, C. Sintès and J.-M. Le Caillec, Super-Resolution-based Snake Model - An Unsupervised Method for Large-Scale Building Extraction using Airborne LiDAR Data and Optical Image, Remote Sens., vol. 12(11), 1702, 2020 (IF=5.349)
    DOI: 10.3390/RS12111702 [Publication] [arXiv] [Github]

  8. T. H. Nguyen, S. Daniel, D. Guériot, C. Sintès and J.-M. Le Caillec, Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 13, pp. 3125-3144, 2020 (IF=4.715)
    DOI: 10.1109/JSTARS.2020.2987305 [Publication] [arXiv]

Conference Papers (with proceedings)

  1. T. H. Nguyen, S. Ricci, A. Piacentini, C. Emery, R. Rodriguez Suquet, and S. Pena Luque, Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis - A Proof-of-Concept, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athen, Greece, 2024. [arXiv]

  2. T. H. Nguyen, T.-V. La, P. Matgen, and M. Chini, Early Flood Warning Using Satellite-derived Convective System and Precipitation Data - A Retrospective Case Study of Central Vietnam, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athen, Greece, 2024. [arXiv]

  3. D. Zoccatelli, T. H. Nguyen, J. S. Wong, M. Chini, T. C. van Hateren, and P. Matgen, Drought Monitoring in Luxembourg and the Greater Region using Hydrological modelling and Satellite Data, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athen, Greece, 2024.

  4. R. Rodriguez Suquet, F. Bretar, P. Kettig, G. Blanchet, S. Ricci, T. H. Nguyen, Q. Bonassies, A. Piacentini, C. Fatras, E. Lavergne, S. Brunato, V. Gaudissart, E. Guzzonato, A. Froidevaux, A. Guiot, G. Valladeau, J.-C. Poisson, and T. Huang, The SCO-FLOODDAM Project: A Pre-operational Demonstrator for Flood Detection, Mapping, Prediction and Risk Impact Assessment, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athen, Greece, 2024.

  5. T. H. Nguyen, A. Piacentini, S. Munier, S. Ricci, S. Pena Luque, R. Rodriguez Suquet, Q. Bonassies, C. Fatras, E. Lavergne, A. Andral, S. Brunato, V. Gaudissart, E. Guzzonatto, G. Valladeau, J.-C. Poisson, A. Froidevaux, A. Guiot, R. Raynal, T.-L. Huynh, T. Huang, P. Kettig, G. Blanchet, F. Bretar, Improving Flood Forecasting Capability With a Chained Hydrological-hydraulic Model and Remote Sensing Data Assimilation, Colloque SHF “Prévision des crues et des inondations – Avancées, valorisation et perspectives”, Toulouse, 2023. [proceeding]

  6. T. H. Nguyen, A. Piacentini, S. Munier, S. Ricci, R. Rodriguez Suquet, S. Le Gac, F. Boy, C. Fatras, Q. Bonassies, M. Sadki, and S. Pena Luque, Flood Forecast with Chained Hydrologic-Hydraulic Modeling and Data Assimilation, TELEMAC-MASCARET User Conference 2023, Karlshure, Germany, 2023, pp. 39-47.
    Handle: 20.500.11970/112849 [proceeding]

  7. Q. Bonassies, S. Ricci, T. H. Nguyen, A. Piacentini, M. Sadki, C. Fatras, A. Andral, S. Pena Luque, and R. Rodriguez Suquet, Front Type Implementation for Flood Extent and Flood Modelling Image Assimilation, TELEMAC-MASCARET User Conference 2023, Karlshure, Germany, 2023, pp. 31-38.
    Handle: 20.500.11970/112848 [proceeding]

  8. R. Rodriguez Suquet, F. Bretar, P. Kettig, G. Blanchet, S. Ricci, T. H. Nguyen, Q. Bonassies, A. Piacentini, C. Fatras, E. Lavergne, S. Brunato, V. Gaudissart, E. Guzzonato, A. Froidevaux, A. Guiot, G. Valladeau, J.-C. Poisson, T. Huang, The SCO-FloodDAM Project: Towards a Digital Twin for Flood Detection, Prediction and Flood Risk Assessments, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 1000-1003.
    DOI: 10.1109/IGARSS52108.2023.10282907 [proceeding]

  9. T. H. Nguyen, S. Ricci, A. Piacentini, Q. Bonassies, R. Rodriguez Suquet, S. Pena Luque, K. Marlis and C. H. David, Reducing Uncertainties of a Chained Hydrologic-hydraulic Model to Improve Flood Forecasting Using Multi-source Earth Observation Data, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 1525-1528.
    DOI: 10.1109/IGARSS52108.2023.10282456 [proceeding] [arXiv]

  10. T. H. Nguyen, S. Ricci, A. Piacentini, E. Simon, R. Rodriguez Suquet, and S. Pena Luque, Dealing With Non-Gaussianity of SAR-derived Wet Surface Ratio for Flood Extent Representation Improvement, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 1595-1598.
    DOI: 10.1109/IGARSS52108.2023.10282744 [proceeding] [arXiv]

  11. T. H. Nguyen, S. Ricci, A. Piacentini, C. Fatras, P. Kettig, G. Blanchet, S. Pena Luque, and S. Baillarin, Assimilation of SAR-derived Flood Extent Observations for Improving Fluvial Flood Forecast – A Proof-of-concept, IOP Conf. Ser.: Earth Environ. Sci., 1136, 2023.
    DOI: 10.1088/1755-1315/1136/1/012018 [proceeding] [arXiv]

  12. T. H. Nguyen, S. Ricci, A. Piacentini, R. Rodriguez Suquet, G. Blanchet, S. Pena Luque, and P. Kettig, Enhancing Flood Forecasting with Dual State-Parameter Estimation and Ensemble-based SAR Data Assimilation, TELEMAC-MASCARET User Conference 2022, Paris-Saclay, France, 2022, pp. 297-305.
    Handle: 20.500.11970/110870 [proceeding] [arXiv]

  13. T. H. Nguyen, A. Delmotte, C. Fatras, P. Kettig, A. Piacentini and S. Ricci, Validation and Improvement of Data Assimilation for Flood Hydrodynamic Modelling Using SAR Imagery Data, TELEMAC-MASCARET User Conference 2021, Antwerp, Belgium, 2021, pp. 100-108.
    Handle: 20.500.11970/108298 [proceeding] [arXiv]

  14. P. Kettig, S. Baillarin, G. Blanchet, C. Taillan, S. Ricci, T. H. Nguyen, T. Huang, A. Altinok, N. T. Chung, G. Valladeau, R. Goeury and A. Roumagnac, The SCO-FloodDAM Project : New Observing Strategies for Flood Detection, Alert and Rapid Mapping, IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021, pp. 1464-1467.
    DOI: 10.1109/IGARSS47720.2021.9553036 [proceeding]

  15. T. H. Nguyen, S. Daniel, D. Guériot, C. Sintès and J.-M. Le Caillec, Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, pp. 181–188.
    DOI: 10.5194/isprs-archives-XLII-2-W16-181-2019 [proceeding] [arXiv] [poster] [Github]
    Best poster award at PIA19+MRSS19

  16. T. H. Nguyen, S. Daniel, D. Guériot, C. Sintès and J.-M. Le Caillec, Robust Building-Based Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 8474-8477.
    DOI: 10.1109/IGARSS.2019.8898612 [proceeding] [slide] [arXiv] [Github (for full-scale color figures)]

  17. T. H. Nguyen, D. Guériot, J.-M. Le Caillec, C. Sintès and S. Daniel, Heterogeneous Data Registration for 3D Underwater Scene Reconstruction, OCEANS 2017 - MTS/IEEE Anchorage, Anchorage, AK, USA, 2017, pp. 1-6. [proceeding] [preprint] [poster]
    Finalist of Student Poster Competition

  18. T. H. Nguyen, M. Chabah and C. Sintès, Correlation bias analysis - A novel method of sinus cardinal model for least squares estimation in cross-correlation, OCEANS 2015 - MTS/IEEE Washington, Washington, DC, 2015, pp. 1-6.
    DOI: 10.23919/OCEANS.2015.7404526 [proceeding] [preprint] [poster]
    Finalist of Student Poster Competition

Communications (oral, invited talk, poster)

  1. Merits of Data Assimilation on Improving Flood Forecasting - A case study of Ohio Cannelton-Newburgh (talk), session Water Level, Storage and Discharge from Remote Sensing and Assimilation in Hydrodynamic Models, 2024 EGU General Assembly, Vienna, April 2024. [Abstract]

  2. Towards Digital Twin in Global Flood Forecasting - A Proof-of-Concept in Severn catchment and Alzette catchment (poster), session Real-time Flood Forecasting and Early Warning Systems: Data Analytics, Modelling, and Applications, 2024 EGU General Assembly, Vienna, April 2024. [Abstract]

  3. An Open-Source Framework for Federation of Earth System Digital Twins (invited talk by T. Huang NASA/JPL), session Earth System Digital Twins: Prototypes and Federations I Oral, AGU Fall Meeting 2023, San Francisco, CA, December 2023. [Abstract]

  4. Assimilating SWOT Altimetry & Sentinel-1 Flood Extent for Flood Forecasting - A Proof-of-Concept (poster), HYDROSPACE 2023, Lisbon, November 2023. [Poster]

  5. Combining Sentinel-1 Flood Extent & Sentinel-6 Altimetry for Flood Forecasting (poster), HYDROSPACE 2023, Lisbon, November 2023. [Poster]

  6. The SCO-FloodDAM Project: Towards a Digital Twin for Flood Detection, Prediction and Flood Risk Assessments (poster by R. Rodriguez Suquet), Colloque SHF “Prévision des crues et des inondations – Avancées, valorisation et perspectives”, Toulouse, November 2023. [Poster]

  7. Implementation of the Chan-Vese Distance in an Ensemble Kalman Filter for the Assimilation of SAR Images as Front-type Data (poster by Q. Bonassies, CERFACS), Colloque SHF “Prévision des crues et des inondations – Avancées, valorisation et perspectives”, Toulouse, November 2023. [Poster]

  8. Integrate new in-situ, air- and spaceborne data to improve river floods modeling (poster by M. Sadki, CERFACS), TELEMAC-MASCARET User Conference 2023, Karlshure, October 2023. [Poster]

  9. Global River Discharges Estimation from SWOT Observations using Data Assimilation and Hydraulic Models (poster by S. Ricci, CERFACS), SWOT Science Team Meeting 2023, Toulouse, September 2023. [Poster]

  10. SCO-FloodDAM & Digital Twin - Towards a Digital Twin for flood detection, prediction and risk assessment (talk), Forum TERATEC, Paris, May 2023.

  11. On the Merits of Earth Observation Data for Hydrology and Flood Forecasting With Hydrodynamic Models (talk), Séminaire Inter-Organismes Hydrologie Spatiale (organiser: CNES & Theia/Data Terra), Montpellier, May 2023.

  12. Comparisons and Water Level Analyses Using Sentinel-6MF Satellite Altimetry Data With Hydraulic Models (talk), session Water Level, Storage and Discharge from Remote Sensing and Assimilation in Hydrodynamic Models, 2023 EGU General Assembly, Vienna, April 2023. [Abstract]

  13. Leveraging Sentinel-6MF Altimetry Data for Flood Forecasting (talk), GLOBC CLUC seminar, CERFACS (Toulouse), April 2023

  14. Federated Digital Twins for Flood Prediction and Analysis (poster by T. Huang NASA/JPL), session Toward a Digital Twin of Sustainable Earth and Infrastructure, AGU Fall Meeting 2022, Chicago, IL, December 2022. [Abstract] [Poster]

  15. Uncertainty Reduction in Fluvial Flood Re-analysis by Assimilating SAR-derived Flood Extent Maps (talk), session Data Driven Approaches for Flood Observation, Model Validation, and Uncertainty Quantification, AGU Fall Meeting 2022, Chicago, IL, December 2022. [Abstract] [Summary]

  16. Assimilation of SAR-Derived Flood Extent Maps for Improving Fluvial Flood Forecast (poster), session Inland Water Storage and Runoff: Modeling, In Situ Data and Remote Sensing, ESA’s Living Planet Symposium 2022, Bonn, May 2022. [poster]

  17. Observing Floods from Space (talk), TELEMAC Science Committee Meeting, Chatou, May 2022.

  18. Satellite Remote Sensing-derived Flood Observations (talk), GLOBC CLUC seminar, CERFACS (Toulouse), April 2022.

  19. Assessing and Improving Fluvial Flood Forecast Performance Using Sentinel-1 Derived Flood Extent Maps (talk), session Remote Sensing of Rivers, Lakes, Reservoirs, and Wetlands, AGU Fall Meeting 2021, New Orleans, LA, December 2021. [Abstract] [Summary]

  20. Adding EO-based Virtual Observations to Improve Data Assimilation for Fluvial Flood Forecasting - Example of the Garonne Marmandaise Catchment (poster), HYDROSPACE-GEOGloWS 2021 conference, ESA-ESRIN (Rome), June 2021. [poster]

  21. Fusion de données issues de capteurs LiDAR et imagerie optique pour l’extraction des emprises de bâtiments dans le contexte du changement climatique (talk), GLOBC seminar, CERFACS (Toulouse), March 2021.

  22. Methodology of 3D mosaic construction by the fusion of airborne LiDAR data and optical imagery - Recent Progresses (talk), LabSTICC/CID/PRASYS seminary, ENSTA (Brest), March 2019.

  23. Méthodologie de construction d’une mosaïque 3D par fusion de données aéroportées issues de capteurs d’imagerie et LiDAR (poster), Colloque CRG, Université Laval (Quebec City), June 2018. [poster]

Peer-review Activities

Reviewer for IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), MDPI’s Remote Sensing Artificial Intelligence, Applied Sciences, ISPRS International Journal of Geo-Information (IJGI), Journal of Spatial Science, and IGARSS conference.

Keywords: Remote sensing, LiDAR, Optical imagery, Sonar, Data fusion, Data assimilation, Building extraction.