I was wondering how can we perform cloud detection.
(1) Is it the same process for all the sentinel products (S2-L2A and S2-L1C)?
(2) Is the cloud detection always performed at 80m resolution?
(3) Are cloud detection and cloud masking applied the same way on the data for different seasons, or do I need to adapt it to each season separately?
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We suggest you use CLM/CLP bands, which are calulated using our s2cloudless mechanism.
More info here:
Sentinel Hub
Sentinel Hub is multi-spectral, temporal satellite imagery service for real-time processing of big remote sensing data.
and here:
Medium – 3 Jul 20
Cloud Masks at Your Service
s2cloudless is an ML algorithm for computing cloud masks on Sentinel-2 data. We announce the availability of cloud masks via our services.
Reading time: 8 min read
and here:
Medium – 12 May 20
S2cloudness or how we processed 130 Bn km² of cloud masks in less than a day
Spoiler alert: in reality it took us about two years to do this but hey, the last step, processing of data, took much less than a day —…
Reading time: 7 min read
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