An Earth System Digital Twin for Flood Prediction and Analysis-Reference-Cited by-同舟云学术

An Earth System Digital Twin for Flood Prediction and Analysis

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Huang Thomas¹,David Cedric¹,Oadia Catalina¹,Roberts Joe T.¹,Kumar Sujay V.²,Stackhouse Paul³,Borges David³,Baillarin Simon⁴,Blanchet Gwendoline⁴,Kettig Peter⁴

Affiliation:

1. California Institute of Technology,NASA Jet Propulsion Laboratory

2. NASA Goddard Space Flight Center

3. NASA Langley Research Center

4. Centre National d'Etudes Spatiales

Funder

Jet Propulsion Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884830.pdf?arnumber=9884830

Reference11 articles.

1. Why Build a Castle When You Can Create a Community;huang;proceedings of 2020 ApacheCon Home,2020

2. 2020: Distributed Machine Learning and Data Fusion for Flood Detection and Monitoring;huang;AGU Fall Meeting 2020 American Geological Union Fall Meeting,2020

3. Four Years of Progress in Analytics Center Frameworks: Lessons Learned;little;American Geophysical Union Fall Meeting,2019

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

5. Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation Applied to Hydrodynamic Numerical Models;nguyen;J of Elec Systems Science and Engineering,2021

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