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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XI-3-2026
https://doi.org/10.5194/isprs-annals-XI-3-2026-555-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
08 Jul 2026
| 08 Jul 2026
Application of machine learning methods and Sentinel-2 data for multitemporal land-cover classification in conflict-affected areas
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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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