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pyboa

https://github.com/alxlhrnc/pyboa

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 6 DOI reference(s) in README
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    Academic publication links
    Links to: zenodo.org
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: AlxLhrNc
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 725 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created about 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation Zenodo

README.md

pyBOA front detection

Detection algorithm for oceanographic data (specifically chlorophyl / temperature but can be used for others)

Original pseudo-code: Belkin, I.M., O’Reilly, J.E., 2009. An algorithm for oceanic front detection in chlorophyll and SST satellite imagery. Journal of Marine Systems, Special Issue on Observational Studies of Oceanic Fronts 78, 319–326_ DOI.

Transcription of the work from: Lin et al. (2019) - Matlab, Lin, L., Liu, D., Luo, C., Xie, L., 2019. Double fronts in the Yellow Sea in summertime identified using sea surface temperature data of multi-scale ultra-high resolution analysis. Continental Shelf Research 175, 76–86. DOI. Ben Galuardi, boaR - R package DOI

Additions: Generalized contextual filter, rolling percentile selection, morphological thinning for single lines.

What to get: The sample netcdf file and pyBOA.py.

Important This works as an extension of the xarray packages and was built under python 3.9 Currently under liscence GNU General Public License, see Zenodo. See proper citation and attribution in cff file and zenodo.json. Recomended citation: Alexandre Lhériau-Nice. (2025). pyBOA (v2.0.0). Zenodo. https://doi.org/10.5281/zenodo.15540884

Output example

Owner

  • Login: AlxLhrNc
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Lhériau-Nice"
    given-names: "Alexandre"
    orcid: https://orcid.org/0000-0002-7221-1232
title: "pyBOA: contextual front detection (publishing release)"
version: v1.0.0
date-released: 2023-07-11
url: "https://github.com/AlxLhrNc/pyBOA/tree/v1.0.0"

GitHub Events

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