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Data · dataset · 2024

CloudSEN12+: The largest collection of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2

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Detecting and screening clouds is the first step in any optical remote sensing (RS) analysis.

Description

Cloud formation is diverse, presenting many shapes, thicknesses, and altitudes. This variety poses a significant challenge to developing effective cloud detection algorithms since most datasets shortfall an unbiased representation.

To address this issue, we have built CloudSEN12+, a significant expansion of the CloudSEN12 dataset. This new dataset doubles the expert-labeled pixels, making it the largest cloud detection dataset for Sentinel-2 imagery up to date. We have carefully reviewed and refined previous human labels in this new release to ensure maximum trustworthiness.

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We hope CloudSEN12+ will be a valuable resource for the cloud detection research community.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Satellite remote sensing 65%
Provenance · 1 source records, 11 field assertions
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ScienceDB10.57760/sciencedb.1770212 d agoJSON v1
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