Coreo x Gentian – Partner Solution for IENE 2026

Scalable Ecological Mapping & BNG Baselines for Linear Infrastructure

Automated Habitat Mapping at Scale

Deliver robust UKHab and Biodiversity Net Gain (BNG) datasets across complex rail, road and utility corridors by combining high-resolution satellite imagery with mobile survey workflows.

See our hybrid BNG workflow in action

Join our technical team for a demonstration of the integrated Gentian-Coreo workflow, followed by Q&A

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The Operational Challenges of Linear Surveys

Conventional ground-based surveys for Nationally Significant Infrastructure Projects (NSIPs) frequently face operational hurdles that compromise timelines and data integrity:

Scale: Surveying extensive long linear corridors is logistically difficult and costly
Access Restrictions & Safety Risks: High-hazard terrain, rail margins, and private land limits restrict on-site survey time.
Timeline Constraints: Manual polygon creation and fragmented workflows delay baseline reports for large-scale sites.
Data Inconsistencies: Disconnected tools and manual transcription increase the potential for errors across large teams.

Integrating remote sensing with targeted field verification establishes a streamlined, reproducible workflow that addresses these challenges while maintaining full ecological oversight.

Scenic photograph of a railway line in the countryside

Hybrid Satellite-to-Field Workflow for NSIP Delivery

By pairing Gentian’s AI-driven satellite analysis with Coreo’s mobile spatial data collection, ecological teams can produce accurate, audit-ready BNG reports efficiently across extensive linear sites:

1. Capture: High-Resolution Satellite Imagery

Gentian acquires and processes current high-resolution satellite imagery covering extensive linear corridors, eliminating early-stage access dependency.

2. Classify: Automated Feature Pre-Mapping

Algorithms identify and pre-map baseline UKHab vegetation boundaries across the project site, significantly reducing initial GIS drawing overhead.

3. Populate: Automated Project Setup

Pre-mapped spatial layers convert automatically into interactive survey boundaries within Coreo, preparing field teams before they enter the site.

Mobile phone running the Coreo app with map geometry in the background

4. Validate: Targeted Ground-Truthing

Ecologists ground-truth AI outputs, assess habitat condition scores, and modify features in the field, maintaining full technical and professional control.

5. Deliver: Audit-Ready Spatial Datasets

Export standardised pre-populated metrics and report-ready maps ready for formal regulatory submissions, planning applications, and long-term monitoring.