Coastal Resilience

Geospatial AI for coastal and marine environments.

Coactive's foundation model and active-learning pipeline extend directly to coastal systems: applying the same sense-learn-operate workflow to monitor aquatic invasive species, harmful algal blooms, and nearshore ecosystem health.

What we are developing

Extending our platform into coastal applications.

Our coastal and marine work builds on active projects and partnerships with science ecosystems. The same hyperspectral sensing, active-learning selection, and field-validation loop that drives our critical-minerals program applies directly to nearshore and marine monitoring challenges.

Invasive Species Detection

AI-assisted aquatic invasive species monitoring.

We are developing detection models for aquatic invasive species using hyperspectral spectral and multispectral signatures to differentiate target organisms from surrounding biological noise at satellite scale.

Harmful Algal Blooms (HABs)

HAB detection and water-quality monitoring.

Our harmful algal bloom work combines hyperspectral remote sensing with in-situ validation. The same active-learning pipeline we apply across domains is used here to identify bloom-forming species and assess coastal water quality in near-real time.

Expanding capabilities

Drift forecasting and habitat assessment.

We are actively developing additional coastal monitoring capabilities — including species drift forecasting and marine habitat assessment and will continue to expand this work as it matures.

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