Improving Channel Hydrological Connectivity in Coastal Hydrodynamic Models With Remotely Sensed Channel Networks-Reference-Cited by-同舟云学术

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Improving Channel Hydrological Connectivity in Coastal Hydrodynamic Models With Remotely Sensed Channel Networks

Published:2022-03 Issue:3 Volume:127 Page:
ISSN:2169-9003
Container-title:Journal of Geophysical Research: Earth Surface
language:en
Short-container-title:JGR Earth Surface

Author:

Zhang Xiaohe¹^ORCID,Wright Kyle²^ORCID,Passalacqua Paola²^ORCID,Simard Marc³^ORCID,Fagherazzi Sergio¹^ORCID

Affiliation:

1. Department of Earth and Environment Boston University Boston MA USA

2. Department of Civil, Architectural, and Environmental Engineering University of Texas at Austin Austin TX USA

3. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

Funder

Earth Sciences Division

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Earth-Surface Processes,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JF006294

Reference75 articles.

1. Model Sensitivity to Topographic Uncertainty in Meso- and Microtidal Marshes

2. Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models

3. Inferring surface currents within submerged, vegetated deltaic islands and wetlands from multi-pass airborne SAR

4. Optimal use of high-resolution topographic data in flood inundation models

Cited by 2 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. Coupling numerical models of deltaic wetlands with AirSWOT, UAVSAR, and AVIRIS-NG remote sensing data;Biogeosciences;2024-01-16

2. Spatial Variability in Salt Marsh Drainage Controlled by Small Scale Topography;Journal of Geophysical Research: Earth Surface;2023-10-31

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