What is SeaScope?

SeaScope transforms Earth Observation and maritime monitoring by enabling users to turn natural-language questions into transparent, executable Google Earth Engine workflows. Built as an open-source agentic AI assistant, SeaScope helps researchers, analysts, and public-sector teams investigate environmental and maritime events with explainable results, provenance, and human-in-the-loop control.

Learn more in the Ctrl+Space Labs GitHub Repo.

Description

SeaScope is designed to make Earth Observation analysis more accessible, transparent, and actionable for maritime and environmental monitoring. The project addresses a growing challenge: although satellite data and cloud-based geospatial platforms are increasingly available, many maritime use cases still depend on manual workflows, sensor-specific scripts, and expert knowledge that can slow down response times during critical events.

At the core of SeaScope is an agentic AI assistant that understands natural-language monitoring tasks and translates them into executable Google Earth Engine workflows. Users can ask questions related to oil spills, ship detection, turbidity, plastics, air quality, and other environmental phenomena, while the system retrieves relevant Earth Observation and Google Earth Engine knowledge to support the analysis.

SeaScope builds on Gendox, Ctrl+Space Labs’ open-source multi-agent platform for retrieval-augmented generation, knowledge management, tool integration, and multi-LLM orchestration. Through this foundation, SeaScope combines semantic retrieval, live knowledge updates, workflow generation, and provenance tracking into a single assistant focused on Earth Observation applications.

A key objective of SeaScope is explainability. Rather than simply producing answers, the system aims to show how results were produced, which data sources and workflows were used, and how each step contributes to the final output. This human-in-the-loop approach allows users to review, refine, and validate generated workflows before relying on their outputs.

SeaScope is especially focused on maritime and environmental case studies, including oil spill monitoring, ship-related incidents, coastal turbidity, plastic pollution, and air quality analysis. By supporting follow-up prompts and iterative refinement, the assistant helps users move from an initial question to a reproducible analysis, visualized results, and a clear explanation of the process.

By combining agentic AI, Earth Observation data, Google Earth Engine workflows, and transparent provenance mechanisms, SeaScope envisions a future where geospatial analysis is easier to perform, easier to verify, and more useful for decision-making in maritime and environmental contexts.

Funded By

The SeaScope action has received funding from the European Union, via OC1-2025-TIS-01, issued and implemented by the ENFIELD project, under grant agreement No. 101120657.