| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-classification |
| - other |
| tags: |
| - climate |
| - geospatial |
| - remote-sensing |
| - earth-science |
| - satellite-imagery |
| - sar |
| - time-series |
| - disaster-response |
| - earthquake-detection |
| pretty_name: QuakeSet |
| size_categories: |
| - 1K<n<10K |
| --- |
| # QuakeSet |
|
|
| QuakeSet is a dataset to analyze different attributes of earthquakes. It contains bi-temporal time series of images and ground truth annotations for magnitudes, hypocenters, and affected areas. |
|
|
| - **PrePrint:** https://arxiv.org/abs/2403.18116 |
| - **Published Verions:** https://ojs.iscram.org/index.php/Proceedings/article/view/10 |
|
|
| You can find an official implementation on [TorchGeo](https://torchgeo.readthedocs.io/en/stable/api/datasets.html#non-geospatial-datasets). |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| The images are taken from the Sentinel-1 mission using the Interferometric Wide swath mode. |
|
|
| The International Seismological Centre provides information about earthquakes. |
|
|
| - **License:** cc-by-nc-4.0 |
|
|
| ## Dataset Structure |
|
|
| The dataset is divided into three folds with equal distribution of magnitudes and balanced in positive and negative examples. |
|
|
| Each sample contains: |
| - an image |
| - x,y coordinates |
| - epsg of the coordinates |
| - affected label |
| - magnitude |
|
|
| *NOTE*: the main file is *earthquakes.h5*, while *p_earthquakes.h5* contains the private set for the [SMAC Challenge](https://www.codabench.org/competitions/2222/). |
| This set contains only placeholder ground truth. |
|
|
| ## Citation |
|
|
| **BibTeX:** |
| ``` |
| @article{Rege_Cambrin_2024, |
| title={QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1}, |
| ISSN={2411-3387}, |
| url={http://dx.doi.org/10.59297/n89yc374}, |
| DOI={10.59297/n89yc374}, |
| journal={Proceedings of the International ISCRAM Conference}, |
| publisher={Information Systems for Crisis Response and Management}, |
| author={Rege Cambrin, Daniele and Garza, Paolo}, |
| year={2024}, |
| month=may |
| } |
| ``` |
