| --- |
| license: cc-by-4.0 |
| task_categories: |
| - other |
| task_ids: [] |
| tags: |
| - remote-sensing |
| - forecasting |
| - geospatial |
| pretty_name: calvingdb — Calving Front Benchmark |
| --- |
| |
| # calvingdb — Calving Front Benchmark |
|
|
| First benchmark dataset for **data-driven annual calving front forecasting**, covering 123 marine-terminating glaciers in Svalbard from 2013 to 2023. |
|
|
| Each benchmark sample asks: given five past calving front observations (spanning roughly four years), predict where the calving front will be **365 days in the future**. |
|
|
| --- |
|
|
| ## Dataset at a glance |
|
|
| | Property | Value | |
| |---|---| |
| | Glaciers | 123 (RGI 6.0, region 07 — Svalbard) | |
| | Total observations | 17,358 calving front scenes | |
| | Benchmark samples | 1,234 (866 train / 109 val / 259 test) | |
| | Temporal coverage | 2013–2023 | |
| | Spatial resolution | 30 m | |
| | CRS | EPSG:3995 (Arctic Polar Stereographic) | |
| | Prediction horizon | 365 days | |
| | Input sequence length | 5 snapshots | |
| | Version | 1.0.0 | |
| | License | CC BY 4.0 | |
|
|
| --- |
|
|
| ## Repository layout |
|
|
| ``` |
| calvdb/ |
| ├── zarr_zipped/ # per-glacier zip archives (for download) |
| │ └── RGI60-07.XXXXX.zarr.zip |
| ├── splits/ |
| │ ├── train.json # 866 benchmark samples |
| │ ├── val.json # 109 benchmark samples |
| │ ├── test.json # 259 benchmark samples |
| │ ├── normalisation_stats.json # channel statistics (train split only) |
| │ └── sampling_params.json # reproducibility config |
| ├── croissant.json # MLCommons Croissant metadata |
| └── README.md |
| ``` |
|
|
| --- |
|
|
| ## Normalisation |
|
|
| `splits/normalisation_stats.json` contains per-channel mean and standard deviation computed **from the training split only**. Apply z-score normalisation before training. |
|
|
|
|
| ## License |
|
|
| This dataset is released under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license. |
|
|
