HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

Python Submitted 11 July 2024Published 26 August 2024
Review

Editor: @cheginit (all papers)
Reviewers: @alexgleith (all reviews), @platipodium (all reviews)

Authors

Bingqing Liu (0000-0003-4651-6996), Qiusheng Wu (0000-0001-5437-4073)

Citation

Liu et al., (2024). HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments. Journal of Open Source Software, 9(100), 7025, https://doi.org/10.21105/joss.07025

@article{Liu2024, doi = {10.21105/joss.07025}, url = {https://doi.org/10.21105/joss.07025}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {100}, pages = {7025}, author = {Bingqing Liu and Qiusheng Wu}, title = {HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

geospatial hyperspectral mapping Jupyter visualization pyvista

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066