From 934e713ffa5d11290a9e90249c448cf4682dde26 Mon Sep 17 00:00:00 2001 From: Qiusheng Wu Date: Sun, 25 Aug 2024 22:35:04 -0400 Subject: [PATCH] Add JOSS paper (#131) * Add JOSS paper * Add JOSS paper to docs --- README.md | 10 ++++++++++ docs/index.md | 7 +++++++ 2 files changed, 17 insertions(+) diff --git a/README.md b/README.md index 8988082..eb84330 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,9 @@ # HyperCoast + + [![All Contributors](https://img.shields.io/badge/all_contributors-6-orange.svg?style=flat-square)](#contributors-) + [![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/HyperCoast/blob/main) @@ -9,6 +12,7 @@ [![image](https://img.shields.io/conda/vn/conda-forge/hypercoast.svg)](https://anaconda.org/conda-forge/hypercoast) [![Conda Recipe](https://img.shields.io/badge/recipe-hypercoast-green.svg)](https://github.com/conda-forge/hypercoast-feedstock) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/hypercoast.svg)](https://anaconda.org/conda-forge/hypercoast) +[![JOSS](https://joss.theoj.org/papers/10.21105/joss.07025/status.svg)](https://doi.org/10.21105/joss.07025) ![](https://assets.gishub.org/images/hypercoast_logo_600.png) **A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments** @@ -25,6 +29,12 @@ HyperCoast supports the reading and visualization of hyperspectral data from var ![EMIT](https://assets.gishub.org/images/EMIT-demo.png) **Figure 1.** An example of visualizing NASA EMIT hyperspectral data using HyperCoast. +## Citations + +If you find HyperCoast useful in your research, please consider citing the following papers to support us. Thank you! + +- Liu, B. & Wu, Q. (2024). HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments. _Journal of Open Source Software_, 9(100), 7025. . + ## Features - Searching for NASA hyperspectral data interactively diff --git a/docs/index.md b/docs/index.md index 4f6f670..293a059 100644 --- a/docs/index.md +++ b/docs/index.md @@ -5,6 +5,7 @@ [![image](https://img.shields.io/conda/vn/conda-forge/hypercoast.svg)](https://anaconda.org/conda-forge/hypercoast) [![Conda Recipe](https://img.shields.io/badge/recipe-hypercoast-green.svg)](https://github.com/conda-forge/hypercoast-feedstock) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/hypercoast.svg)](https://anaconda.org/conda-forge/hypercoast) +[![JOSS](https://joss.theoj.org/papers/10.21105/joss.07025/status.svg)](https://doi.org/10.21105/joss.07025) ![](https://assets.gishub.org/images/hypercoast_logo_600.png) **A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments** @@ -21,6 +22,12 @@ HyperCoast supports the reading and visualization of hyperspectral data from var ![EMIT](https://assets.gishub.org/images/EMIT-demo.png) **Figure 1.** An example of visualizing NASA EMIT hyperspectral data using HyperCoast. +## Citations + +If you find HyperCoast useful in your research, please consider citing the following papers to support us. Thank you! + +- Liu, B. & Wu, Q. (2024). HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments. _Journal of Open Source Software_, 9(100), 7025. . + ## Features - Searching for NASA hyperspectral data interactively