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Sentinel-2: Cloud Probability in Earth Engine

<p>Links:</p> <ul> <li><a href="https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_CLOUD_PROBABILITY">Sentinel-2: Cloud Probability</a>&nbsp;in Earth Engine&#39;s Public Data Catalog</li> <li><a href="https://radiantearth.github.io/stac-browser/#/external/storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_CLOUD_PROBABILITY.json">Sentinel-2: Cloud Probability</a>&nbsp;in Earth Engine STAC viewed with STAC Browser</li> </ul> <p>The S2 cloud probability is created with the&nbsp;<a href="https://github.com/sentinel-hub/sentinel2-cloud-detector">sentinel2-cloud-detector</a>&nbsp;library (using&nbsp;<a href="https://github.com/microsoft/LightGBM">LightGBM</a>). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting&nbsp;<code>0..1</code>&nbsp;floating point probability is scaled to&nbsp;<code>0..100</code>&nbsp;and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow).</p> <p>Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.</p> <p>The Level-2 data can be found in the collection&nbsp;<a href="https://radiantearth.github.io/stac-browser/COPERNICUS_S2_SR">COPERNICUS/S2_SR</a>. The Level-1B data can be found in the collection&nbsp;<a href="https://radiantearth.github.io/stac-browser/COPERNICUS_S2">COPERNICUS/S2</a>. Additional metadata is available on assets in those collections.</p> <p>See&nbsp;<a href="https://developers.google.com/earth-engine/tutorials/community/sentinel-2-s2cloudless">this tutorial</a>&nbsp;explaining how to apply the cloud mask.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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