Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 385
Articles | Volume 385
https://doi.org/10.5194/piahs-385-443-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-385-443-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 385
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Assessing the Accuracy of Multiple Classification Algorithms Combining Sentinel-1 and Sentinel-2 for the Citrus Crop Classification and spatialization of the Actual Evapotranspiration Obtained from Flux Tower Eddy Covariance: Case Study of Cap Bon, Tunisia

Amal Chakhar, Rim Zitouna-Chebbi, David Hernández-López, Rocío Ballesteros, Imen Mahjoub, and Miguel A. Moreno

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Short summary
It is very important to have accurate estimation of the total area of citrus plots. To achieve this objective, we performed crop classification using Sentinel-1 and -2. Additionally, ETa was available, so we tried to find it is potential relation with NDVI. The results were obtained with the classifier SVM using GEE Google Earth Engine and provided a significant contribution to the citrus crop classification also highlighted the potential to extrapolate accurate ET estimation to larger scales.
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