Building a global early-warning system for environmental risks with remote sensing.

Amid intensifying environmental risks, including climate change, biodiversity loss, and pollution, global ecosystems are under unprecedented pressure. Environmental monitoring forms the cornerstone of governance, as ecological risk events unfold through interconnected stages of occurrence, development, migration, and impact. However, current monitoring systems remain fragmented across platforms, regions, and data infrastructures, with inconsistent standards and poor interoperability limiting timely detection and coordinated response. In response to these limitations, we propose a global ecological risk monitoring framework that integrates satellite, aerial, terrestrial, and marine platforms into a hierarchically structured, multi-scale network. This framework supports continuous, cross-scale observation of atmospheric, terrestrial, and aquatic systems, enabling end-to-end lifecycle tracking of ecological and environmental hazards. By synthesizing the strengths of existing monitoring networks and promoting transboundary data interoperability, the system facilitates a transition from passive environmental response to proactive, real-time risk forecasting and decision-making.