The Sco-Flooddam Project: New Observing Strategies for Flood Detection, Alert and Rapid Mapping-Reference-Cited by-同舟云学术

The Sco-Flooddam Project: New Observing Strategies for Flood Detection, Alert and Rapid Mapping

Published:2021-07-11 Issue: Volume: Page:
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Container-title:2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Author:

Kettig Peter,Baillarin Simon,Blanchet Gwendoline,Taillan Christophe,Ricci Sophie,Nguyen Thanh-Huy,Huang Thomas,Altinok Alphan,Chung Nga T.,Valladeau Guillaume,Goeury Romain,Roumagnac Alix

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9553015/9553016/09553036.pdf?arnumber=9553036

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The SCO-Flooddam Digital Twin Project: A Pre-Operational Demonstrator for Flood Detection, Mapping, Prediction and Risk Impact Assessment;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations;IEEE Transactions on Geoscience and Remote Sensing;2024

3. 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;2023-07-16

4. Reducing Uncertainties of a Chained Hydrologic-Hydraulic Models to Improve Flood Forecasting Using Multi-Source Earth Observation Data;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. 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;2023-07-16