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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVIII-4/W18-2025
https://doi.org/10.5194/isprs-archives-XLVIII-4-W18-2025-13-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
27 Jan 2026
| 27 Jan 2026
Multi-Temporal Tree Species Classification using Sentinel-2 Imagery and Machine Learning: A Case Study from Bolu, Aladağ Forests
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The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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