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. 2026 May 27;16:24114. doi: 10.1038/s41598-026-55055-1

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© The Author(s) 2026

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 4 — Regional multi-index remote sensing screening of the study area (see Fig. 2). Moisture–vegetation (A), oxidation–reduction (B, C), salinity (D), thermal response (E), and elevation (F) patterns indicate geomorphological and structural zones where multiple indicators converge. These integrated signals help screen for hydrogen-related surface expressions and shallow geochemical activity. The indices were derived from Sentinel-2 and Landsat 8/9 data acquired during June–September 2024.