|
|
--- |
|
|
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 |
|
|
} |
|
|
``` |
