Reference:Reference-020590: Difference between revisions

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|Title=Flood Depth Estimation Using Synthetic Aperture Radar (SAR) Imagery and Topography: A Case Study of the 2021 and 2022 Floods in Hawkesbury Valley, Australia
|Title=Flood Depth Estimation Using Synthetic Aperture Radar (SAR) Imagery and Topography: A Case Study of the 2021 and 2022 Floods in Hawkesbury Valley, Australia
|Year=2023-07-16
|Year=2023-07-16
|Journal=None
|Journal=
|Booktitle=None
|Booktitle=
|Volume=None
|Volume=
|Pages=2402–2405
|Pages=2402–2405
|URL=https://ieeexplore.ieee.org/document/10282474/
|URL=https://ieeexplore.ieee.org/document/10282474/
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Latest revision as of 11:42, 12 November 2024



Author(s) Das, Puja; Jensen, Kat; De, Shaunak; Ganguly, Auroop R;
BibType conferencePaper
Title Flood Depth Estimation Using Synthetic Aperture Radar (SAR) Imagery and Topography: A Case Study of the 2021 and 2022 Floods in Hawkesbury Valley, Australia
Editors
Year 2023-07-16
Journal
Booktitle
Volume
Pages 2402–2405
URL https://ieeexplore.ieee.org/document/10282474/
DOI 10.1109/IGARSS52108.2023.10282474
ISBN
Note Auto downloaded ref at: 2024-08-16


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 64f28c0f1e7d83f272b611c0bef8c59006236492
Nr of citations 1
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: FwDET