Crossmark

Automated burned area detection using machine learning with hybrid training data generation and explainable AI: a comparative analysis of PBIA and OBIA approaches

Crossref DOI link: https://doi.org/10.1007/s11069-025-07940-7

Published Online: 2026-03-05

Published Print: 2026-04

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

Authors

Gündüz, Halil İbrahim https://orcid.org/0000-0002-0609-8032
Funding

Funding for this research was provided by:

Aksaray University
License Information

Text and Data Mining valid from 2026-03-05

Version of Record valid from 2026-03-05
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Article History

Received: 5 October 2025

Accepted: 27 December 2025

First Online: 5 March 2026

Declarations

:

: The authors declare that they have no conflict of interest.

: During the preparation of this work, the author used ChatGPT and Claude to improve readability, language consistency, and academic style. After using these tools, the author reviewed and edited the content and takes full responsibility for the content of the published article.

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