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Comparative evaluation of performances of algae indices, pixel- and object-based machine learning algorithms in mapping floating algal blooms using Sentinel-2 imagery

Crossref DOI link: https://doi.org/10.1007/s00477-023-02648-1

Published Online: 2024-01-09

Published Print: 2024-04

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

Authors

Colkesen, Ismail

Ozturk, Muhammed Yusuf

Altuntas, Osman Yavuz
Funding

Funding for this research was provided by:

Gebze Technical University
License Information

Text and Data Mining valid from 2024-01-09

Version of Record valid from 2024-01-09
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Article History

Accepted: 14 December 2023

First Online: 9 January 2024

Declarations

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: The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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