KelpNet: Probabilistic Multi-Task Learning for Satellite-Based Kelp Forest Monitoring
Kelp forests are critical for marine ecosystems. They harbor a diverse range of species and maintain ecological balance, which necessitates the accurate monitoring of their evolution. We propose a multi-task ensemble deep learning framework to predict probabilistic maps of kelp forests from Landsat 7 satellite imagery. We train parallel image classification and segmentation models to achieve robust kelp predictions. Both model types are created as ensembles of 25 members producing probabilistic outputs....