What is the best method to remove cloud from satellite data?

More Mohammed Sultan Mansor Al-Shayef's questions See All

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Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

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Ebrahim Ghaderpour

Hi Mohammed,

Have you consulted with the Sentinel-2 products specification?

Here: https://sentinel.esa.int/documents/247904/685211/Sentinel-2-Products-Specification-Document

In pages 68-71, they described the Pixel Level Quality Indicators for masking clouds. I suggest you to take a look at this document. Hope that helps you!

Hayder Dibs

could removal techniques under envi

or you can also use mask

Abdelrazek Elnashar

There is a "Bitmask" band augmented with other bands of each product, for instance, the "QA60" band of Sentinel-2: https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2

Abera Assefa Biratu

I suggest you to use Geomatica remote sensing desktop software package

Mohammad Adil Aman

If you aren't concerned about the data for certain dates, you can use the multi-dimensional median (medoid) technique to generate the best available monthly or yearly pixel composite.

Article Seasonal Composite Landsat TM/ETM plus Images Using the Medo...

Nadeem Fareed

Hopefully these can help to figure out how.

Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion - ScienceDirect

Comparison of cloud detection algorithms for Sentinel-2 imagery - ScienceDirect

Janaki Sandamali

Cloud masking