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Exploration of machine learning techniques for cloud removal and gap filling on sentinel-2 time series images for better exploitation in far North Cameroon

Crossref DOI link: https://doi.org/10.1007/s42452-025-07026-w

Published Online: 2025-07-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mvogo, Joseph Ngono

Noumsi, Woguia Auguste Vigny

Wirba, Pountianus Berinyuy
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Text and Data Mining valid from 2025-07-28

Version of Record valid from 2025-07-28
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Article History

Received: 3 February 2025

Accepted: 23 April 2025

First Online: 28 July 2025

Declarations

:

: The data collected is satellite imagery and geographic information, and does not involve human or animal subjects.

: Not applicable.

: Not applicable.

: The authors declare that they have no competing financial interests to disclose. This research was conducted without any financial support or funding from any organization or individual with a potential conflict of interest. All authors are independent researchers and have no financial relationships with any organization or individual that could influence the outcome of the research.

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