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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "03d20480-658d-4865-b45a-f07cfeb36820", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"title: Publications, data products, and libraries supported by CryoCloud\n", | ||
"license: CC-BY-4.0\n", | ||
"github: https://github.com/cryointhecloud/CryoCloudWebsite\n", | ||
"subject: Content\n", | ||
"venue: MyST Markdown\n", | ||
"authors:\n", | ||
" - name: CryoCloud Team\n", | ||
" email: [email protected]\n", | ||
" corresponding: true\n", | ||
" - name: Community members\n", | ||
"---" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "1e0dd97f-22e0-4b8e-997f-3f82e0bf2c8e", | ||
"metadata": {}, | ||
"source": [ | ||
":::{important} Create a pull request to add your CryoCloud-supported content!\n", | ||
":class: dropdown\n", | ||
"\n", | ||
"You can find the [full documentation for updating this list here](?).\n", | ||
":::" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "40cbba69-dc63-4030-930d-19a5ea7c0f67", | ||
"metadata": {}, | ||
"source": [ | ||
"## Publications and reports" | ||
] | ||
}, | ||
{ | ||
"attachments": {}, | ||
"cell_type": "markdown", | ||
"id": "4bc0ca11-7a46-42d6-bd48-232940a74b75", | ||
"metadata": {}, | ||
"source": [ | ||
"Abrahams, E., Snow, T., Pérez, F., Siegfried, M. R. (2024). **A Concise Augmentation Strategy for Preserving Spatial Context in Tiled Imagery for Earth Observation**, *International Conference on Learning Representations (ICLR)*. [arXiv:2404.10927](https://arxiv.org/html/2404.10927v1) " | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "3226e610-4c90-4521-b3af-ce4c43092456", | ||
"metadata": {}, | ||
"source": [ | ||
"Chu, W., Bartholomaus, T., MacGregor, J., Morlighem, M., & Walden, V. (2023). Report on the 2023 Future of Greenland ice Sheet Science (FOGSS) Workshop: Unifying Themes, Cross-Cutting Priorities, and Future Directions. [](https://www.fogss-workshop.org/s/2023-FOGSS-White-Paper.pdf)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "c7ae7d96-3246-4c5e-8d67-19a82dd40bee", | ||
"metadata": {}, | ||
"source": [ | ||
"Millstein, J., Snow, T., Sauthoff, W., Scheick, J., & Siegfried, M. (2023). CryoCloud: Accelerating Discovery for NASA Cryosphere Communities with Open-Cloud Infrastructure (NASA Request for Information). *Zenodo*. [10.5281/zenodo.7662993](https://doi.org/10.5281/zenodo.7662993)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "d7a8f853-f994-4761-a9ad-517121d6f89d", | ||
"metadata": {}, | ||
"source": [ | ||
"## Data products" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "d053b35f-6fcd-4915-9e50-2e3d202a5741", | ||
"metadata": {}, | ||
"source": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "2cd61b54-3f46-4249-910e-0a6fc566687b", | ||
"metadata": {}, | ||
"source": [ | ||
"## Open source libraries" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "396b095e-badc-41d4-b54a-0e637db59e3e", | ||
"metadata": {}, | ||
"source": [ | ||
"[icepyx](https://github.com/icesat2py/icepyx) from [Jessica Scheick](https://github.com/JessicaS11) and others - Python tools for obtaining and working with ICESat-2 data" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "e6ba8f6d-6abb-4f1c-acdc-9324669eeaec", | ||
"metadata": {}, | ||
"source": [ | ||
"[earthaccess](https://github.com/nsidc/earthaccess) from [Luis Lopez](https://github.com/betolink) and others - Python library to search for, and download or stream NASA Earth science data with just a few lines of code" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "39c3509f-51c2-465c-bf53-5685b800dddb", | ||
"metadata": {}, | ||
"source": [ | ||
"[FlipNSlide](https://github.com/elliesch/flipnslide/) from [Ellianna Abrahams](https://github.com/elliesch) and others - Python library that improves image tiling and augmentation for geospatial machine learning applications\n", | ||
"\n", | ||
"```{figure} https://raw.githubusercontent.com/elliesch/flipnslide/main/figure_1.jpg\n", | ||
":name: flipnslide\n", | ||
":align: right\n", | ||
":width: 60%\n", | ||
"FlipNSlide tiling scheme\n", | ||
"```" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "05b8c11a-f51f-4291-af2a-506e2d2934d4", | ||
"metadata": {}, | ||
"source": [ | ||
"[SlideRule](https://github.com/SlideRuleEarth/sliderule) and [sliderule-python](https://github.com/jpswinski/sliderule-python) from [David Shean](https://github.com/dshean), [JP Soinski](https://github.com/jpswinski) and others - Python client and notebooks that make it easier to interact with [SlideRule Earth](https://slideruleearth.io/) on-demand data" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "93e4403d-022a-4ebb-b987-9be8eda4939f", | ||
"metadata": {}, | ||
"source": [ | ||
"[ITS_LIVE-Downloader-Tracker](https://github.com/vdevauxchupin/ITS-LIVE-Downloader-Tracker) from [Victor Devaux-Chupin](https://github.com/vdevauxchupin) and others - a Python library for [ITS_LIVE](https://its-live.jpl.nasa.gov/) datacube downloading & tracking/strains calculation" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.11.9" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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