Mapping Rangeland Vegetation Using Sentinel-1 and Sentinel-2 Imagery with Machine Learning: A Case Study of Vicu&ntilde;a Conservation in the Central Andes of Per&uacute;

Javier Ochoa; Henry Juarez; Diego Sotomayor; Stef De Haan

doi:https://doi.org/10.5194/egusphere-egu25-21573

[Back] [Session ESSI4.11]

EGU25-21573, updated on 15 Mar 2025

https://doi.org/10.5194/egusphere-egu25-21573

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Mapping Rangeland Vegetation Using Sentinel-1 and Sentinel-2 Imagery with Machine Learning: A Case Study of Vicuña Conservation in the Central Andes of Perú

Javier Ochoa

¹, Henry Juarez¹, Diego Sotomayor², and Stef De Haan¹

Javier Ochoa et al.

¹Consultative Group on International Agricultural Research - CGIAR
²Universidad Nacional Agraria La Molina - UNALM, La Molina, Peru

How to cite: Ochoa, J., Juarez, H., Sotomayor, D., and De Haan, S.: Mapping Rangeland Vegetation Using Sentinel-1 and Sentinel-2 Imagery with Machine Learning: A Case Study of Vicuña Conservation in the Central Andes of Perú, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-21573, https://doi.org/10.5194/egusphere-egu25-21573, 2025.

This abstract has been withdrawn on 25 Jul 2025.