Water • Vol 17 • No 24
Advancing Riverine–Lacustrine Ecosystem Vulnerability Prediction Using Multi-Sensor Satellite Data, Attention-Based Deep Learning, and Evolutionary Metaheuristics
December 2025 • Zheng Zhou, Xu Shi, Fuchu Zhang, Xinlin He
Riverine–lacustrine ecosystems in river–lake continua face increasing threats, yet conventional vulnerability maps often overlook local degradation drivers. This study presents an advanced satellite-based mapping framework using Deep Attention Networks (DANets) for accurate, interpretable vulnerability assessment. In the Ebinur Lake Basin, a representative dryland river system, we first built a satellite-derived evidence map of ecosystem stress aligned with the IPCC’s vulnerability definition. We then optimized DA…