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Codes for "Integrating Connectivity Into Hydrodynamic Models: An Automated Open-Source Method to Refine an Unstructured Mesh Using Remote Sensing"

Authors: Kyle Wright; Paola Passalacqua; Marc Simard; Cathleen E. Jones;

Codes for "Integrating Connectivity Into Hydrodynamic Models: An Automated Open-Source Method to Refine an Unstructured Mesh Using Remote Sensing"

Abstract

Supporting Information for "Integrating Connectivity Into Hydrodynamic Models: An Automated Open-Source Method to Refine an Unstructured Mesh Using Remote Sensing," published in JAMES. Zipped file contains the set of Python image processing tools to embed remotely-sensed channel networks into an ANUGA hydrodynamic model mesh to improve computational efficiency. Most up-to-date version is available on GitHub.

This work was supported by the NASA Delta-X project, which is funded by the Science Mission Directorate's Earth Science Division through the Earth Venture Suborbital-3 Program NNH17ZDA001N-EVS3

Keywords

Mesh, Remote Sensing, Connectivity, ANUGA

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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