Hyperparameter Sensitivity Analysis of Support Vector Machine for Crop Type Classification Using Sentinel-2 NDVI Time Series

Fatima Ben zhair; Haytam Elyoussfi; Mouad Alami Machichi; Rahma Azamz; Jada El Kasri; Bouchra Boufous; Salwa Belaqziz

doi:https://doi.org/10.5194/egusphere-egu26-12087

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EGU26-12087, updated on 14 Mar 2026

https://doi.org/10.5194/egusphere-egu26-12087

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Hyperparameter Sensitivity Analysis of Support Vector Machine for Crop Type Classification Using Sentinel-2 NDVI Time Series

Fatima Ben zhair¹, Haytam Elyoussfi^2,5, Mouad Alami Machichi³, Rahma Azamz¹, Jada El Kasri⁴, Bouchra Boufous¹, and Salwa Belaqziz^1,2

Fatima Ben zhair et al.

¹Ibn Zohr University, Faculty of Science, Department of Computer Science, Morocco (fatima.benzhair.01@edu.uiz.ac.ma)
²Center for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University (UM6P), Benguerir 43150, Morocco.
³Agronomy Department, Agronomic and Veterinary Institute Hassan 2, Rabat 10112, Morocco.
⁴Ministry of Agriculture, Maritime Fisheries, Rural Development, Water and Forests, Morocco.
⁵Pixel Research, OCP Group, 2-4 Hay Raha, Casablanca, Morocco

How to cite: Ben zhair, F., Elyoussfi, H., Alami Machichi, M., Azamz, R., El Kasri, J., Boufous, B., and Belaqziz, S.: Hyperparameter Sensitivity Analysis of Support Vector Machine for Crop Type Classification Using Sentinel-2 NDVI Time Series, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12087, https://doi.org/10.5194/egusphere-egu26-12087, 2026.

This abstract has been withdrawn on 11 Aug 2026.