Large-scale coastal anomaly detection using the parallel machine learning library Heat

Wadim Koslow, Fabian Hoppe, Kathrin Rack, Hakan Akdag, Alexander Rüttgers, Achim Basermann, High-Performance Computing Department, Institute of Software Technology, German Aerospace Center, Faculty of Information Science and Communication Studies, Institute of Information Science, Cologne University of Applied Sciences , TH Köln

The International Journal of High Performance Computing Applications

Published online on April 29, 2026

Abstract

The International Journal of High Performance Computing Applications, Ahead of Print.
Large-scale Earth observation (EO) datasets are crucial for identifying environmental changes, particularly in coastal regions vulnerable to erosion. However, analyzing these massive datasets requires computational techniques beyond the capabilities of ...