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A complete biodiversity workflow in one platform
Terraviso - Your Partner in Environmental Compliance
TerraViso is a next-generation biodiversity platform designed to turn complex ecological data into clear, confident decisions. From building high-quality imagery stacks and automated habitat classification, through to Biodiversity Net Gain (BNG) assessment, scenario testing, and Defra-ready outputs, TerraViso brings the entire workflow into one seamless system.
But TerraViso goes beyond BNG. It supports a wider range of biodiversity analysis and reporting needs, helping organisations understand habitat condition, track change over time, and assess ecological value across sites and portfolios. As the platform evolves, TerraViso is moving towards a fully integrated Biodiversity Risk dashboard—enabling users to quantify, monitor, and manage nature-related risk in line with emerging standards such as TNFD and ESG reporting.
A Technical Platform for Biodiversity Intelligence
A modular geospatial platform unifying AI, remote sensing, and BNG modelling
TerraViso is a modular desktop-based geospatial platform that integrates remote sensing, machine learning, and statutory biodiversity modelling into a single, reproducible workflow. The system is structured around a clear data pipeline: imagery ingestion and stack construction, feature engineering (spectral indices and texture layers), supervised classification, and downstream biodiversity analytics.
At its core, TerraViso builds multi-band raster stacks from aerial (RGB-NIR) and satellite sources, automatically generating derived features such as NDVI, NDWI, EVI, and texture measures. These stacks are standardised and passed into a machine learning pipeline (currently Random Forest, with extensibility for gradient boosting), where user-defined training data is used to produce habitat classification outputs alongside probability and uncertainty layers. Feature consistency between training and inference is enforced to ensure reproducibility.
The platform persists all project data within a structured workspace, using a GeoPackage as the primary spatial datastore and JSON manifests for inputs, summaries, and audit states. Lookup packs (e.g. distinctiveness, condition, strategic significance, trading rules) are versioned per project and used to drive deterministic BNG calculations aligned with the statutory biodiversity metric. Baseline and post-development states are stored as discrete layers, with freeze states capturing a full audit snapshot of inputs, lookups, and computed outputs.
TerraViso’s biodiversity engine computes habitat units by combining area with lookup-driven multipliers, and evaluates compliance through rule-based checks (e.g. habitat group equivalence, spatial risk). Outputs are aggregated at parcel and site level, written back to the GeoPackage, and exported as structured bundles including GIS layers, tabular summaries, and HTML reports.
The architecture is intentionally modular, separating UI components, processing workflows, and domain logic. This allows for extensibility into additional capabilities such as scenario optimisation, multi-temporal analysis, and integration with external reporting frameworks. The system is designed to be deterministic, auditable, and scalable across projects, forming the foundation for a broader biodiversity intelligence and risk analytics platform.
Why TerraViso Stands Apart
From fragmented tools to a unified system – many biodiversity workflows rely on separate GIS tools, spreadsheets, and manual processes, requiring expert judgement at each step . TerraViso brings these into a single, integrated pipeline.
Beyond simplified metrics – standard approaches often rely on proxy calculations that cannot fully capture ecological complexity and require additional expert interpretation . TerraViso augments these with spatial data, machine learning, and contextual analysis.
Designed for scale, not just single assessments – traditional BNG processes are labour-intensive and dependent on specialist input, creating bottlenecks as demand increases . TerraViso enables consistent, repeatable analysis across multiple sites and portfolios.
Built for reproducibility and auditability – many geospatial workflows struggle with consistency and reproducibility in complex modelling environments . TerraViso enforces structured data, versioned lookups, and deterministic outputs.
From static outputs to dynamic decision-making – existing approaches typically produce fixed reports or calculations. TerraViso enables scenario testing, iteration, and optimisation before decisions are locked in.
Bridging data, modelling, and reporting – rather than treating analysis and reporting as separate steps, TerraViso connects raw data, modelling outputs, and Defra-ready deliverables in a continuous workflow.
Extensible towards biodiversity risk and analytics – while many tools focus on compliance, TerraViso is designed to evolve into a broader biodiversity intelligence platform, supporting monitoring, forecasting, and risk assessment.