Bayan Alharbi ,CDMP®

بعد أكاديمية كاوست

Bayan earned the Certified Data Management Professional credential in October 2024 and completed the Tuwaiq Academy Python Web Development Bootcamp in January 2025.

المشروع الصيفي

تخصص المعلوماتية الحيوية · دفعة 2024

Monitoring Spartina Alterniflora Using Self-Supervised Learning

The invasive marsh grass Spartina alterniflora poses a significant threat to coastal ecosystems. This project aimed to develop a robust monitoring system using self-supervised learning techniques applied to satellite imagery data. We explored two methods, SimCLR and DINO, to effectively detect and track the spread of Spartina alterniflora in coastal regions. The key challenges included data sparsity and the lack of annotated datasets, which were addressed through the use of data augmentation and alternative data sources. Our findings demonstrate the potential of self-supervised learning in enhancing the accuracy and generalization of Spartina alterniflora detection, paving the way for improved environmental monitoring and conservation efforts.

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