Intelligent analysis of Earth remote sensing data on the distribution of phytoplankton and pollutants in coastal systems

Currently, one of the topical areas application artificial intelligence methods in ensuring environmental monitoring water resources is analysis Earth remote sensing images order to control and prevent potentially dangerous changes environment. In future, algorithms with elements form basis forecasting decision-making systems. Systems for high-quality can be improved using methods, particular, development special emergencies. The aim study develop an algorithm detect spots substances various origins on surface. It has been established that YOLOv4 convolutional neural network applicable detection oil bloom phytoplankton populations. developed was tested real satellite showed accuracy 84-94%.