Terrain Foundation Model built for the AI age
terrain foundation model
nature intelligence starts with understanding the terrain
our foundation model that supports the full ecosystem services stack
My last seven years working with natural capital has taught me that we continue to grossly undervalue our landscapes and the natural world.
Focusing on just one aspect such as carbon credits or even habitats completely misses the big picture. At Nature Equity, we paint on a bigger canvas. The natural environment is extraordinarily complex. Water, soils, habitats, land use, topography, climate, agriculture, and our built infrastructure all interact continuously - yet most environmental analysis still treats them as separate datasets and separate problems.
Nature Equity's Terrain Foundation Model (TFM) changes that.
It creates a consistent, governed and connected digital representation of the natural environment that can be used by our applications, analytical models and AI systems to understand not simply what is where, but increasingly how places work, how they are connected, what could change and where intervention creates the greatest value.
It is the foundation beneath Nature Equity’s Nature Intelligence Platform.
From terrain → understanding → intervention → investment.
So to represent nature in all its glory we decided to build a new foundation from the ground up, and we have created the Terrain Foundation Model which is at the heart of our Nature Intelligence Platform - seven rings but one model to bind them all.
Working With
NSIP OWNERS AND DEVELOPERS RAIL
WATER COMPANIES POWER GRID / ENERGY
HIGHWAYS LOCAL AUTHORITIES
ENVIRONMENTAL ORGANISATIONS DATA CENTRES
DISTRIBUTION LOGISTICS WAREHOUSING
Landowners and Farming Consortia
01 - new approach
beyond the gis stack
Traditional environmental analysis starts with maps.
Elevation. Rivers. Flood Risk. Soils. Habitats. Land Use. Crops. Infrastructure. Protected areas.
Each layer may be valuable, but individually they tell only part of the story.
A conventional GIS Stack can tell us that two things occupy the same location. It does not inherently understand the relationship between them.
Using GIS to build an ecosystem stack is like trying to build a jig saw puzzle from different sized sets, each with different levels of detail.
Zoom in and you lose the relationship and zoom out you lose the detail
Our Terrain Foundation Model is designed to move beyond these limitations
Instead of continually assembling disconnected layers for individual projects, we ingest authoritative environmental datasets into a controlled and repeatable data architecture.
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The result is not another map .
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It is an environmental model of place.
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It shows the relationships through all the data
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It becomes nature's operating system that can be interpreted by AI
02 - new insights
from pixels & polygons
to insight
A river is not simply a blue line
A river belongs to a catchment.
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It receives water from surrounding terrain.
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Its behaviour is influenced by slope, elevation, soils, land cover and rainfall.
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It interacts with habitats, agriculture, communities and infrastructure downstream.
The same principle applies throughout the natural environment.
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A woodland is simultaneously habitat, carbon stock, hydrological intervention, landscape feature and potentially an economic asset.
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Agricultural land has a crop history, soil characteristics, runoff behaviour, biodiversity condition and alternative land-use potential.
Nature Equity Terrain Foundation Model establishes these relationships.
This creates a growing semantic layer above the underlying geospatial data — giving Nature Equity’s models and AI systems a common environmental
language through which they can reason across domains.
Rather than creating a separate data architecture for every environmental problem, Nature Equity develops specialist models from the same Terrain Foundation.
Hydrology & Natural Flood Management
Our hydrological modelling understands terrain as a connected water system.
High-resolution elevation, flow pathways, catchments, rivers, soils and land cover allow us to identify how water moves through landscapes and where Natural Flood Management interventions can create the greatest benefit.
This has evolved into our national Natural Flood Management v2.0 capability: moving from flood-risk mapping towards identifying, prioritising and valuing interventions.
Flood & water resilience
We combine terrain intelligence with flood hazard, surface-water pathways, infrastructure and receptors to understand both exposure and opportunities for mitigation.
The objective is not simply:
Where might flooding occur?
It is:
What can we do about it — where, at what scale, and with what benefit?
one foundation.
multiple environmental models
03 - productivity
Biodiversity & BNG
Our Habitat Foundation Model (HabFM) extends the Terrain Foundation into ecology.
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Land use, land cover, priority habitats, woodland inventories, agricultural land-use history, soils, hydrology, designations and other evidence are combined through explicit precedence and classification rules.
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This allows Nature Equity to create a pre-survey habitat and Biodiversity Net Gain baseline across large areas before expensive and time consuming field surveys begin.
carbon
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Terrain, soils, vegetation, habitat and land management also provide the physical foundation for estimating carbon stocks, sequestration potential and the consequences of land-use change.
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Crucially, carbon is not treated in isolation. It can be considered alongside water, biodiversity, agriculture and economic outcomes.
water quality
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Hydrological connectivity provides the bridge between land management and water quality.
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Understanding where water originates, how it moves through the landscape and which land uses it encounters creates the foundation for modelling sediment, nutrients and other pressures — and targeting nature-based interventions upstream.
Agriculture & crops
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Multi-year crop and land-use evidence allows the Terrain Foundation Model to understand landscapes dynamically rather than as a single snapshot.
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Crop rotations, persistent land uses and changing management provide additional evidence for habitat classification, runoff, soil condition, carbon and land-use opportunity.
04 - scale
national scale.
local resolution
the terrain foundation model. engineered to solve a difficulat problem
How do you maintain national-scale environmental intelligence without losing the detail required to make decisions about individual places?
Our architecture divides the landscape into governed foundation regions and analytical units while retaining their relationships to catchments and neighbouring terrain.
Across England we are progressively integrating:
high-resolution LiDAR terrain data, hydrological catchments and river networks, soils, habitats, land cover,
agricultural land use, flood information, environmental designations, infrastructure and Earth observation data.
This means the same underlying environmental architecture can support analysis from:
national → region → river catchment → infrastructure corridor → development site → individual intervention.
For hydrology in particular, our Terrain Foundation processing works at metre-scale terrain resolution, rather than reducing the landscape to coarse national averages.
That distinction matters.
Nature-based solutions happen in real places, and detail matters.
Implementation and Investment Focussed
This is also what differentiates Nature Equity from conventional environmental intelligence platforms. Too much environmental modelling stops at identifying the climate risk.
We are building towards action.
The Terrain Foundation Model supports a common workflow across Nature Equity applications:
SCAN → TARGET → INVEST → INSURE
Scan
Understand environmental systems and opportunities across entire landscapes.
Target
Identify the locations where intervention can produce the greatest outcome.
Invest
Model interventions, benefits, costs and economic value to create investable projects.
Insure
Quantify resilience outcomes and help protect the infrastructure, communities and natural assets that depend upon them.
The same Terrain Foundation can therefore support flood resilience, biodiversity, carbon, water quality, agriculture and future Nature Equity applications.
05 decision intelligence
from observation
to intervention
built f0r the artificial intelligence age
Most geospatial systems were designed primarily for humans to create and interrogate maps.
The Terrain Foundation Model is being designed increasingly for machines to understand landscapes. Its governed data architecture, derived environmental metrics and emerging semantic layer provide structured context that AI models can use to understand relationships between terrain, water, ecology, land management and economics.
This creates the foundation for a new generation of environmental AI.
unleashing Nature intelligence
Rather than asking AI:
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What does this map show?
we want it ultimately to answer questions such as:
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Where should we intervene in this catchment to reduce downstream flood risk
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while increasing biodiversity and carbon value
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without unnecessarily removing productive agricultural land?
That requires considerably more than a collection of maps.
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It requires a model of how the landscape fits together.
06 -governed intelligence.
evidence you can trust
the silver label
environmental data is rarely perfect
Our experience in processing national and international data sets
We have processed many, many terabytes of data to produce our Terrain Foundation Model. We developed our own automation Terrain Factory process that extracted, loaded and transformed and combined data sets and developed QA and MRM processes around the handling of the data.
At every stage there was a human in the loop to QA and validate both the process and the data outputs.
It taught us many things about data and caused a few headaches and lots of frustration. These are headaches and frustration you don't need to go through as we have done the heavy lifting for you, we have carried out the QA and verified the results.
We found solutions for holes in data, incomplete and inconsistent lidar tiles, edge effects between surveys, and what to do when your favourite satellite images are being obscured by clouds, also how to connect offshore islands to mainland data, how to deal with tidal transition zones, and data that is now out of date as the landscape has moved on, the list goes on and on.
That is why it is important to understand the confidence level you can put into your data and this is why we are transparent on data confidence levels.
It is also why we differentiate two main types of data label used in our models. They are the Silver Label Standard and the Gold Label Standard.
Nature Equity Silver Label™ — is a governed, model-derived interpretation produced from multiple authoritative and observational evidence sources using explicit rules, precedence, provenance and confidence, prior to field verification.
This is a layer above using raw satellite or aerial LiDAR that is available in national data sets.
Then:
Gold Label — a Silver Label subsequently validated or corrected through appropriate field observation or expert verification.
What this means though is that you do not need to use gold standard everywhere. That would be hugely expensive and in many cases impossible or too time consuming to do for anything above a 100 ha. Our approach is to produce governed Silver Label data to do all baseline measurements and then only use ground truthing where it is required to enhance the data; for instance in checking on condition scores required for BNG calculations or to calibrate our simulation models.
What Silver label data gives you is high quality, scalable, governed pre-verification intelligence with known confidence levels.
We have also built this into a continuous improvement loop.
SILVER LABEL
Model-derived | governed | evidence-backed | confidence recorded | scalable
→ TARGETED VERIFICATION
GOLD LABEL
Observed | expert/field verified | highest confidence | feeds back into our Terrain Foundation model.
Every Gold Label can become training/validation evidence for improving future Silver Labels.
We are building a human-in-the-loop environmental AI learning architecture.
07 our advantage is your accelerator
we turn risk into prevention
Acceleration in a world of slow progress
As the white rabbit in Alice in Wonderland reminds us, we are late, very late, very, very late for a very important date.
Whether that was Net Zero by 2040 or 30% of land and marine ecosystems under nature restoration by 2030.
Nature Equity’s Terrain Foundation Model is built to close the gap between ambition and implementation.
By creating nature intelligence once, consistently and at national scale we can move faster from:
DATA → UNDERSTANDING → TARGETING → INVESTMENT → IMPLEMENTATION
Nature does not need another target. It needs a faster route to delivery. We also think nature does not need another biodiversity metric - what it really needs is translating into money the costs, the liabilities, the assets, the value, the goodwill so we already have the apparatus to make financial decisions, and corporations and government do this every day, but what we think is missing, within current decision making apparatus is the visability of nature's value in those decisions.
Nature Equity does not have to begin each project by rebuilding an environmental evidence base.
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Every catchment processed, every habitat classification resolved, every hydrological relationship established
and every new dataset governed strengthens the underlying Terrain Foundation.
That produces an important cumulative advantage.
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More territory → more governed data → more environmental relationships → better models → more applications → better decisions.
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Our specialist application can change.
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Our foundation remains.
Our Natural Flood Management product can use the same terrain and hydrological intelligence that informs water resilience.
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Our Biodiversity Net Gain product can inherit hydrology rather than recreating it.
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Carbon can inherit habitat, soils and land management.
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Water-quality models can inherit catchment connectivity. Investment optimisation can draw upon all of them.
This makes development faster, outputs more consistent and the cost of creating each subsequent Nature Equity application progressively lower.
APPLICATIONS
08 - sectors
Our approach can support organisations responsible for:
water utilities
Protect treatment works, pumping stations and wastewater infrastructure while identifying catchment-scale opportunities that complement conventional engineering.
rail
Reduce flood disruption through catchment-scale resilience planning that protects rail corridors, bridges and operational assets.
highways
Understand upstream flood drivers and prioritise interventions that reduce network disruption.
energy and power grid
Improve resilience of substations, transmission corridors, renewable energy assets and associated infrastructure and assess biodiversity impact and uplift requirements.
nsip owners and developers
For nationally significant (critical) infrastructure we evidence flood risk, drainage and nature-based mitigation for Development Consent Order applications and deliver catchment-scale resilience across the asset lifecycle. We provide BNG impact assessment and BNG sourcing guidance.
data centres
Quantify fluvial and surface water exposure to campuses, substations and access routes, and identify upstream measures that protect uptime. We can combine that with water demand and water supply resilience modelling under climate change conditions as well as provide BNG impact assessment.
logistics, distribution and warehouses
Protect distribution hubs, yards and access corridors from disruption, and support site selection and capital planning.
local authorities
Support Local Flood Risk Management Strategies, capital investment planning and partnership funding.
Nature and environmental organisations
Prioritise projects that maximise both flood resilience and wider environmental benefits including biodiversity net gain, carbon removal and habitat development & restoration.
high resolution terrain and hydrology model showing the flow accumulation and prioritised location for flood water storage in the landscape
technical capabality
Our Nature Intelligence Platform combines:
high resolution lidar terrain modelling
CATCHMENT HYDROLOGY
river network analysis
infrastructure intelligence
FLOOD HAZARD ASSESSMENT
ECONOMIC PRIORITISATION
investment optimisation
STORM AND CLIMATE CHANGE SCENARIOS
The result is a transparent, evidence-based workflow capable of supporting decisions from individual catchments through to regional investment programmes.
09 - capability
start with an investment case study
10 - next step
The best way to understand our approach is through a real project.
We provide detailed technical and economic case studies that demonstrate how Nature Equity applies terrain intelligence, hydrological modelling and investment optimisation to solve real infrastructure challenges.
Our case studies include methodology, workflow, technical outputs and investment insights. So that you can with confidence identify what flood prevention measures are best to protect your assets and how much will it cost and what is economic benefit.
from case styudy to rapid catchment assessment
11 - then
Every organisation has unique assets, catchments and investment priorities.
Following an initial discussion, we can undertake a Rapid Catchment Assessment to demonstrate how our methodology applies to your organisation.
A TYPICAL RAPID CATCHMENT ASSESSMENT CAN INCLUDE
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Terrain Foundation creation
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Catchment hydrology analysis
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Infrastructure Impact Atlas
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Natural Flood Management opportunity mapping
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Prioritised intervention portfolio
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Executive report and technical outputs
The objective is to provide a practical evidence base that enables organisations to evaluate future investment with confidence before committing to larger programmes.
how we work together
12 - engagement
01
ORDER investment case study
FREE. ORDER ONE OF OUR PREPARED CASE STUDIES
Methodology, workflow, technical outputs and investment insights from a real project.
02
rapid NFM investment assessment
FIXED PRICE. 4 WEEKS. INVESTMENT REPORT FOR CATCHMENT
A discovery workshop that leads on to a tangible, professional deliverable applied to your own assets and catchments.
03
REGIONAL INFRASTRUTURE IMPACT ATLAS
PROJECT DELIVERY
Region-wide asset exposure, opportunity mapping and prioritised investment programme.
04
ENTERPRISE NATURE INTELLIGENCE PLATFORM
LONG-TERM STRATEGIC PARTNERSHIP
Governed terrain, hydrology and asset and nature intelligence maintained across your estate covering natural flood management, natural capital accounts, biodiversity, water quality, and carbon accounting.
request AN investment case study
enquiry
We provide detailed technical case studies to infrastructure owners, regulators, consultants and delivery partners. To request a copy, please complete the enquiry form.
before the next storm!
let's build more resilient infrastructure
Nature-based solutions have enormous potential — but only when they are planned with robust evidence.
Nature Equity provides the terrain intelligence, hydrological understanding and investment analysis needed to turn catchment data into practical, prioritised programmes that deliver measurable resilience.
Whether your organisation is beginning its Natural Flood Management journey or seeking to optimise an existing programme, we would welcome the opportunity to discuss how our platform can support your objectives.