Prediction of Algal Blooms in the Great Lakes through a Convolution Neural Network of Remote Sensing Data
K. Srinivasan, V. Duvvur, D. Hess
The paper trains a CNN on remote sensing data to predict algal bloom types in the Great Lakes with 80% accuracy using 900 images.
bioRxiv · Jan 29, 2019 · PreprintEcology