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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

cloudsen12's Projects

cloudapp icon cloudapp

A Google Earth Engine App to detect clouds

easystac icon easystac

A Python package for simple STAC queries

iris icon iris

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

map icon map

https://cloudsen12.github.io/map/

maskay icon maskay

A Python package for cloud masking in Sentinel 2

models icon models

CD algorithms available in cloudSEN12

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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