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‎.gitignore‎

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venv/
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4_multi_resolution.ipynb

‎0_Introduction/agenda.md‎

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# Polar Sciences Cluster Online Hackathon 2026 Agenda
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# Antarctica Datacube Hackathon 2026 Agenda
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## Suggested Hackathon Workflow
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| 14:00-14:10 | ESA, EarthCODE and Webex intros (Artemis) |
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| 14:10-14:30 | Introductions |
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| 14:30-14:45 | Objectives for Hackathon (15 mins) (Martin)<br>Setting the scene<br>Goals for the meeting |
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| 14:45-15:00 | Overview Antarctica Datacube (15 mins) (Krasen)<br>Datasets included<br>Examples |
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| 14:45-15:00 | Overview of the ESA Antarctica Datacube (15 mins) (Krasen)<br>Datasets included<br>Examples |
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| 15:00-15:10 | Break |
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| 15:10-15:20 | Introduce shared environment/platform (technical support) (10 mins) (platform provider) |
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| 15:20-16:00 | Play around with datacube (40 mins) |
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| Time | Activity |
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|---|---|
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| 14:00-14:30 | Present dataset first look (each) (30 mins) |
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| 14:30-15:00 | Building Antarctica Datacube Earthcode tools:<br>Visualization (5-10 mins) (Krasen)<br>Example notebooks: adding new datasets to the datacube (transforming data) (10 mins) (Krasen)<br>Making data OPEN (Amy & Artemis) (10-15mins) |
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| 14:30-15:00 | Building ESA Antarctica Datacube with EarthCODE tools:<br>Visualization (5-10 mins) (Krasen)<br>Example notebooks: adding new datasets to the datacube (transforming data) (10 mins) (Krasen)<br>Making data OPEN (Amy & Artemis) (10-15mins) |
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| 15:00-15:10 | Break |
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| 15:10-15:20 | Motivating science questions |
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| 15:20-16:00 | Individual/group work |
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| 16:40-17:00 | Feedback: What can we do at the in-person hackathon |
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‎0_Introduction/discourse.md‎

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[EarthCODE Discourse](https://discourse-earthcode.eox.at) is the community forum for EarthCODE users, science clusters, and working groups. Use it to ask questions, start discussions, share ideas, and keep hackathon conversations visible after the live sessions.
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For Polar Hackathon questions and discussion, use the existing thread:
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For Antarctica Datacube Hackathon questions and discussion, use the existing thread:
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[Polar Hackathon general Q&A and discussion](https://discourse-earthcode.eox.at/t/polar-hackathon-general-q-a-and-discussion/144)
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[Antarctica Datacube Hackathon general Q&A and discussion](https://discourse-earthcode.eox.at/t/polar-hackathon-general-q-a-and-discussion/144)
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Post questions about datasets, notebooks, workflows, technical issues, or ideas you would like to explore during the hackathon.
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‎0_Introduction/intro.ipynb‎

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"id": "46d53cc6",
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"metadata": {},
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"source": [
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"# Polar Hackathon\n",
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"# Antarctica Datacube Hackathon\n",
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"\n",
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"This repository is a guided set of notebooks for discovering Antarctic datasets, converting them into cloud-native formats, combining them into analysis-ready collections, and using those collections in scientific workflows.\n",
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"This repository contains the guided notebooks for the Antarctica Datacube Hackathon. They introduce the ESA Antarctica Datacube and show how to discover Antarctic datasets, convert them into cloud-native formats, combine them into analysis-ready collections, and use those collections in scientific workflows.\n",
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"\n",
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"![polar-cube-viz.jpeg](../static/polar-cube-viz.jpeg)"
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"id": "f28aa669",
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"source": [
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"# 1. Datasets prepared for the hackathon.\n",
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"# 1. Datasets prepared for the Antarctica Datacube Hackathon\n",
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"Each of the datasets has an associated notebook, referenced in the access column that shows how the data can be accessed directly from object storage. More information about the datasets is available in the respective notebooks and the OSC pages. All notebooks reside in the `1_Datasets` folder.\n",
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"\n",
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"id": "1c5d1292",
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"# 2. Datacube\n",
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"# 2. ESA Antarctica Datacube\n",
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"\n",
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"As part of the initiative, and to facilitate easier analysis of and access to scientific Antarctica data, some of the presented datasets are combined into zarr stores, reprojected to a common 100x100m grid in the EPSG:3031 Polar projection.\n",
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"\n",

‎1_Datasets/datasets_sumary.ipynb‎

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"id": "94a23d68",
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"metadata": {},
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"source": [
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"# Datasets prepared for the hackathon.\n",
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"# Datasets prepared for the Antarctica Datacube Hackathon\n",
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"Each of the datasets has an associated notebook, referenced in the access column that shows how the data can be accessed directly from object storage. More information about the datasets is available in the respective notebooks and the OSC pages. All notebooks reside in the `1_Datasets` folder.\n",
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"\n",
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‎2_Datacube/0_intro.ipynb‎

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}
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},
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"# Polar Data Cubes\n",
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"# ESA Antarctica Datacube\n",
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"\n",
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"As part of the initiative, and to facilitate easier analysis of and access to scientific Antarctica data, some of the presented datasets are combined into analysis ready zarr data cubes. The data are collected and combined by theme for:\n",
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"The ESA Antarctica Datacube makes Antarctic scientific data easier to access and analyse by combining selected datasets into analysis-ready Zarr stores. The data are collected and combined by theme for:\n",
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"- Antarctic Land Ice:\n",
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"> For land ice data, the datasets were combined and reprojected to a common 100x100m grid in EPSG:3031.\n",
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"- Antarctic Sea Ice: \n",
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"\n",
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"### Content\n",
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"\n",
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"The notebooks in this folder introduce the Antarctica data cube workflow from two angles: using prebuilt remote cubes, and understanding how multiple datasets can be aligned into a shared analysis grid to produce ARD.\n",
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"The notebooks in this folder introduce the ESA Antarctica Datacube workflow from two angles: using prebuilt remote cubes, and understanding how multiple datasets can be aligned into a shared analysis grid to produce ARD.\n",
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"\n",
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"1. `1_remote_cube_access.ipynb` opens the remote Zarr stores lazily with xarray, selects a small region of interest, and plots example layers without downloading the full cube.\n",
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"2. `2_remote_sea_cube_access.ipynb` opens the remote Zarr store for the sea-ice cube data.\n",

‎2_Datacube/1_remote_cube_access.ipynb‎

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"id": "e962dc63",
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"# Accessing Antarctica Land Ice Cube Data\n",
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"# Accessing ESA Antarctica Datacube Land Ice Data\n",
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"\n",
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"This notebook is a runnable remote-access demo for the Antarctica data cubes.\n",
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"This notebook is a runnable remote-access demo for the ESA Antarctica Datacube.\n",
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"The example uses a small Palmer Land / George VI Ice Shelf ROI. Change `ROI_CENTER_XY_M` or `ROI_HALF_WIDTH_CELLS` to explore another area. Remote reads still happen at the Zarr chunk level, so keep the ROI inside one chunk-sized area for quick laptop runs.\n"
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"metadata": {
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"display_name": "polar-hackathon-polar-hackathon-pangeo-notebook",
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"display_name": "polar-hackathon",
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"language": "python",
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"name": "conda-env-polar-hackathon-polar-hackathon-pangeo-notebook-py"
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"name": "python3"
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"version": "3.12.13"
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‎2_Datacube/1_remote_sea_cube_access.ipynb‎

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"# Accessing Antarctica Sea Ice Cube Data\n",
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"# Accessing ESA Antarctica Datacube Sea Ice Data\n",
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"\n",
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"This notebook is a runnable remote-access demo for the Antarctica data cubes. The example uses a ROI close to the Palmer Land / George VI Ice Shelf.\n",
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"This notebook is a runnable remote-access demo for the ESA Antarctica Datacube. The example uses an ROI close to Palmer Land and the George VI Ice Shelf.\n",
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"Plot 4 also shows an example of how to combine the sea-ice cube data with the land ice cubes."
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‎2_Datacube/accessing_external_datasets/1_example_access_sentinel_data.ipynb‎

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"# Accessing Sentinel-2 Data\n",
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"This notebook shows a simple end-to-end workflow for bringing Sentinel-2 L2A data into the Antarctic datacube workflow. We use the cube grid to define an area of interest, search a STAC API, load RGB and scene classification data lazily with `odc.stac`, build a least-bad-pixel mosaic, and plot polar cube data over the result."
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"This notebook shows a simple end-to-end workflow for bringing Sentinel-2 L2A data into the ESA Antarctica Datacube workflow. We use the cube grid to define an area of interest, search a STAC API, load RGB and scene classification data lazily with `odc.stac`, build a least-bad-pixel mosaic, and plot polar cube data over the result."
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"name": "conda-env-polar-hackathon-polar-hackathon-pangeo-notebook-py"
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‎5_Hackathon_Code/0_intro.md‎

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# Contributing Code During the Hackathon
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# Contributing Code During the Antarctica Datacube Hackathon
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Please add your hackathon work under `5_Hackathon_Code/`.
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