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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIX-B3-2026
https://doi.org/10.5194/isprs-archives-XLIX-B3-2026-225-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
30 Jul 2026
| 30 Jul 2026
Assessing Applications of Self-Supervised Learning for Tree Species Classification from LiDAR Point Clouds
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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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