A global dataset for cloud and cloud shadow semantic understanding
• Introduction • Install • Citation • Acknowledgment
A Python package that provides access to the cloudSEN12 dataset utilizing PySTAC. It also includes the UnetMobV2 model's weights. See CloudSEN12 website for examples.
Install
pip install cloudsen12
Citation
@article{aybar2022cloudsen12,
title={CloudSEN12-a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2},
author={Aybar, Cesar and Ysuhuaylas, Luis and Loja, Jhomira and Gonzales, Karen and Herrera, Fernando and Yali, Roy and Flores, Angie and Diaz, Lissette and Cuenca, Nicole and Espinoza, Wendy and Prudencio, Fernando and Llactayo, Valeria and Montero, David and Sudmanns, Martin and Tiede, Dirk and Mateo-García, Gonzalo and Gómez-Chova, Luis},
year={2022},
publisher={EarthArXiv}
}
Acknowledgment
This project gratefully acknowledges:
for computing resources
Metadata
Release files for cloudsen12 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cloudsen12-0.0.7.tar.gz | 8.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cloudsen12-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.2 kB
Release files / cloudsen12-0.0.7.tar.gz
| Download URL | cloudsen12-0.0.7.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
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Release files / cloudsen12-0.0.7-py3-none-any.whl
| Download URL | cloudsen12-0.0.7-py3-none-any.whl |
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| Size | 9.3 kB |
| Tags | Python 3 |
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