Rapid vs Sandy Methodology Overview

1. Overview

Rapid and Sandy are built on the same scientific foundations, but they are designed for different points in the farm sustainability journey.

Rapid provides a fast, accessible route to a robust farm carbon calculation. It is designed to reduce data burden, remove unnecessary complexity and help farmers quickly understand the main drivers of their footprint and the likely impact of different mitigation options.

Sandy is Trinity’s full natural capital platform. It uses a more detailed data model to deliver a deeper, more farm-specific assessment across carbon, biodiversity, water, soils and natural capital value, supporting detailed decision-making and alignment with recognised reporting frameworks.

This means Rapid is not “light science”. It is a streamlined application of the same scientific thinking, focused on the most material drivers of farm emissions and removals. Sandy then builds on that foundation with greater specificity, broader scope and a higher level of analytical detail.

In practical terms:

• Rapid is designed to answer: What is my likely footprint, what is driving it, and where should I focus first?
• Sandy is designed to answer: What is happening across my whole farm system in detail, why is it happening, and how do I optimise carbon, nature and business outcomes together?

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2. Scientific foundations and governance

Both Rapid and Sandy are grounded in recognised scientific methods and established carbon accounting principles.

Across the two systems, Trinity’s methods draw on:

• the IPCC 2019 Refinement to the 2006 Guidelines for National Greenhouse Gas Inventories,
• ISO 14067 principles for product carbon footprinting,
• GHG Protocol product and land-sector accounting approaches,
• SBTi FLAG logic for land-based emissions and removals where relevant,
• peer-reviewed life cycle assessment literature for inputs such as fertilisers, crop protection products, feeds, fuels and materials,
• published and in-house methods for soil carbon, biomass and land-based removals.

For Sandy in particular, methodology development is supported by Trinity’s wider scientific governance, including input from Trinity’s Scientific Board of 46 globally recognised experts across natural capital, and ongoing review as evidence and standards evolve.

The key point for customers is simple: Rapid and Sandy do not rely on “rule of thumb” carbon maths. Both are built from recognised accounting frameworks and scientific models. The main difference is that Rapid is designed to reach a robust answer with fewer direct user inputs, while Sandy uses more detailed farm data to produce a more site-specific and standards-ready result.

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3. What Rapid and Sandy calculate

Carbon footprinting

Both Rapid and Sandy calculate greenhouse gas emissions and removals associated with farming systems, including where relevant:

• livestock emissions such as enteric methane,
• manure methane and nitrous oxide,
• direct and indirect nitrous oxide from fertilisers, manures and residues,
• embedded emissions in fertilisers, feeds, crop protection products and other inputs,
• fuel and electricity emissions,
• soil carbon removals and stock change,
• crop residue effects,
• and, in Sandy, a wider range of land-based and enterprise-level carbon flows such as woody biomass, agroforestry, renewables, anaerobic digestion and biochar where applicable.

Results can be expressed in total farm terms and, where relevant, as carbon intensity per unit of output.

Wider natural capital

Rapid is focused on fast carbon insight and mitigation simulation.

Sandy goes further by combining carbon with:

• biodiversity scoring,
• soil health and soil carbon intelligence,
• water-related insight,
• and full cause-and-effect natural capital analysis and valuation to support business decision-making.

This means Sandy is not simply “more detail on carbon”; it is a broader and more integrated natural capital platform, to deliver a deeper, more farm-specific assessment across carbon, biodiversity, water, soils and natural capital value, supporting detailed decision-making and alignment with recognised reporting frameworks.

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4. A shared methodological approach

Rapid and Sandy are not competing methodologies. In many areas, Rapid applies the same core methods as Sandy, or simplified forms of those same methods. The difference lies mainly in the level of farm-specific information available to drive those methods.

In Sandy, the user can usually define management, inputs, livestock structure and land use in greater detail. This allows the model to represent the actual operation more precisely.

In Rapid, Trinity reduces the data burden by making use of:

• materiality assessment - prioritising the emissions sources that matter most,
• intelligent inference - estimating some parameters from other answers already given,
• typical values where these are scientifically reasonable,
• spatial lookups - using farm location to bring in soil, climate and related information,
• and a more streamlined representation of systems where the added value of extra data would be limited at Rapid’s intended level of use.

The result is that Rapid will generally align well with the expected footprint of that type of system, while Sandy will better reflect the particular nuances of the individual farm.

A useful way to put it is:

• Rapid simplifies data collection, not the underlying science.
• Sandy adds specificity, breadth and assurance where that detail matters.

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5. Methodology by source

5.1 Livestock emissions: enteric methane and manure methane/nitrous oxide

For ruminant systems such as dairy, beef and sheep, both Rapid and Sandy use recognised livestock emissions methods derived from IPCC 2019 guidance.

In Sandy, livestock are represented by specific animal classes with detailed performance information. This supports a Tier 2-style energy-based calculation of enteric methane, where emissions are linked to animal performance, diet and productivity. Manure emissions are also differentiated according to management system and livestock class.

In Rapid, the user supplies a smaller number of descriptive inputs around outputs and performance. From this, Rapid builds a representative herd or flock model behind the scenes and applies the same overall logic to that generated structure.

For pigs and poultry, both systems use recognised approaches aligned with GLEAM-type livestock assessment methods, with Sandy again allowing more explicit user-defined system detail and Rapid using a more streamlined enterprise description.

What this means in practice:

Rapid gives a strong representation of the livestock emissions profile without asking the user to define every class of stock individually. Sandy is more sensitive to the specifics of herd composition, health, mortality, growth, ration, management and output structure, and therefore gives a more precise result where these factors are important.

5.2 Fertilisers, amendments and nitrous oxide emissions

Both Rapid and Sandy account for:

• direct nitrous oxide emissions from synthetic and organic fertilisers,
• indirect nitrous oxide emissions arising from volatilisation and leaching pathways,
• carbon dioxide emissions from materials such as lime and urea where relevant,
• and embedded emissions from fertiliser manufacture.

These methods are based primarily on IPCC 2019, supported by life cycle assessment literature for embedded emissions.

In Sandy, fertiliser and amendment use can be represented in greater detail by product type, nutrient source, enterprise and management practice. This allows the model to better reflect timing, allocation, nutrient form and management nuance.

In Rapid, some of this detail is inferred from core inputs. For example, nitrogen application rates and crop type may be used to estimate broader fertiliser-related emissions and associated nutrient assumptions. The aim is to capture the major drivers of emissions without requiring the user to enter every input in full detail.

What this means in practice:

Rapid is well suited to identifying the scale and importance of fertiliser emissions in a farm system. Sandy is better suited to situations where the exact form, placement, timing and interaction of nutrient inputs need to be reflected more precisely.

5.3 Fuel, electricity and energy use

Both Rapid and Sandy use recognised emissions factor sources, including DEFRA/BEIS-derived fuel and electricity factors and location-specific electricity logic where appropriate.

In Sandy, users can allocate fuel and electricity use more precisely across enterprises, activities or products. This helps improve attribution and supports detailed enterprise benchmarking.

In Rapid, fuel use is treated more simply. Depending on the enterprise, it may be entered at enterprise level or inferred from operations and equipment assumptions. For example, in some land-based systems, operational data helps estimate likely fuel use without requiring a separate detailed fuel audit.

What this means in practice:

Total energy-related emissions should generally be directionally similar in both tools, but Sandy will provide a more precise breakdown of where those emissions sit within the farm system.

5.4 Crop protection products, feeds and other embedded emissions

A full farm footprint is not just about on-farm emissions. Both Rapid and Sandy also account, to differing levels of detail, for important embedded emissions associated with purchased inputs.

In Sandy, embedded emissions can include:

• fertiliser manufacture,
• crop protection products,
• purchased feeds and bedding,
• energy and selected materials,
• and other enterprise-specific inputs where data allow.

 

These are based on recognised life cycle assessment sources and peer-reviewed literature.

In Rapid, embedded emissions are included in a more streamlined way, using the most material input categories and inferred or standardised assumptions where appropriate.

What this means in practice:

Rapid captures the major purchased-input component of the footprint with minimal burden on the user. Sandy gives a more complete and better allocated picture of embedded emissions across the farm business.

5.5 Crop residues and residue-related emissions

Both tools use IPCC 2019 tier3-derived residue methods, supported by peer-reviewed literature.

Residues matter because they influence both:

• nitrous oxide emissions as plant material decomposes, and
• soil carbon change, because residues are one of the pathways by which carbon returns to the soil.

 

In Sandy, residue quantities and management can be specified in more detail by crop and enterprise. This allows more precise representation of retention, removal and management practices.

In Rapid, residue quantities are generally estimated from crop type and yield, with standard or simplified management assumptions used where appropriate. This is sufficient to capture the main effect without asking the user to quantify every residue stream explicitly.

What this means in practice:

Rapid captures residue effects at a level appropriate for fast footprinting and mitigation screening. Sandy is better suited where residue handling is a major feature of the system, such as in field veg or perennial production, or where a more granular soil carbon analysis is required.

5.6 Soil carbon emissions and sequestration

This is one of the most important areas methodologically.

Both Rapid and Sandy use IPCC 2019-aligned soil carbon methods, with the model responding to factors such as land use, management, residue return, climate and soil type.

In Rapid, the soil carbon estimate is model-based and strengthened by the use of spatial data lookups. Farm location is used to bring in soil and climate context automatically, improving the relevance of the model without requiring specialist user inputs.

In Sandy, the soil carbon component goes further. Depending on the system, users can specific their soil carbon calculation method based on their reporting requirements, and whether they are including removal and/or entering into verifiable projects. Sandy can use:

• more explicit management history,
• more detailed residue and biomass logic,
• richer enterprise-level modelling,
• and, where available, measured soil carbon data combined with model outputs.

 

This model–data fusion approach helps improve the specificity of estimates and provides a more rigorous foundation where soil carbon change is being used for strategy, reporting or removals-style planning.

What this means in practice:

Rapid gives a robust estimate of likely soil carbon direction and scale using the key drivers available at low burden. Sandy is the stronger choice where soil carbon is central to the decision, where measured data exist, or where uncertainty needs to be characterised more explicitly.

5.7 Perennials, grassland, woody features and broader land-based carbon

Rapid focuses on the most material and practical carbon components for a fast farm-level simulation.

Sandy extends land-based carbon accounting further by representing systems such as:

• grassland biomass and utilisation,
• perennial crops such as orchards and vineyards,
• woody features including hedgerows, shelterbelts and agroforestry,
• and in some cases wider on-farm interventions such as renewables, biochar and anaerobic digestion.

 

These parts of the method use combinations of IPCC logic, peer-reviewed biomass and soil models, and Trinity’s in-house implementation.

What this means in practice:

Rapid is designed to get to a robust first answer quickly. Sandy is designed to capture the broader and more integrated carbon picture across complex farmed landscapes.

5.8 Allocation and functional units

A credible footprint is not just about calculating emissions; it is also about assigning them properly to products and enterprises.

In Sandy, emissions can be reported at:

• product level,
• enterprise level,
• and whole-farm level.

 

Where multiple outputs share emissions, for example milk and meat, or grain and straw, Sandy follows recognised allocation principles aligned with ISO 14067 and GHG Protocol. Depending on the context, this may involve avoiding allocation where possible, or using biophysical or economic allocation where appropriate.

Rapid is less focused on formal product-level allocation and more focused on giving a robust enterprise or farm-level footprint quickly. Allocation is therefore handled in a more streamlined way, consistent with its role as a practical first-step tool.

What this means in practice:

If the purpose is rapid carbon estimation and first-step action, Rapid is usually sufficient. If the purpose is product reporting, standards alignment or more formal downstream use, Sandy provides the stronger and standards aligned framework.

5.9 Mitigation, scenarios and optimisation

Both Rapid and Sandy support mitigation planning, but at different levels of detail.

In Rapid, mitigation is designed to be simple and immediate. Users can explore a set of predefined changes relevant to their system and see how the footprint changes. Behind the scenes, Rapid uses system-specific logic to ensure the options shown are broadly compatible with the system and to reflect interaction effects where possible.

In Sandy, mitigation is more bespoke. Sandy supports:

• more precise definition of management changes,
• detailed scenario analysis against a consistent farm-specific baseline,
• combination of multiple interventions,
• and, in some applications, optimisation across emissions, removals, cost and operational constraints.

What this means in practice:

Rapid is ideal for identifying which levers are likely to matter most. Sandy is ideal for developing a defensible whole-farm transition pathway and understanding the trade-offs between different interventions.

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6. Beyond carbon: where Sandy goes further

The biggest difference between Rapid and Sandy is not only the level of carbon detail. It is the breadth of decision support.

Rapid is intentionally focused on fast carbon understanding and first-step mitigation insight.

Sandy extends this into a full natural capital framework, including:

• biodiversity assessment across multiple functional groups,
• soil and land-condition insight,
• water-related analysis and nitrogen budgeting,
• full natural capital valuation,
• and cause-and-effect views of how management changes influence environmental and business outcomes together.

Sandy’s biodiversity methodology, for example, does not attempt a species census. Instead, it provides a structured relative assessment of a farm’s capacity to support multiple biodiversity functions using land use, management and regional context. This allows biodiversity to be brought into practical planning alongside carbon and productivity.

That integrated view is a major part of Sandy’s value: it helps users avoid solving one problem in a way that creates another.

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7. Rapid and Sandy at a glance

Area	Rapid	Sandy
Purpose	Fast, accessible carbon simulation	Full natural capital audit and decision support
Scientific basis	Same core science and accounting principles	Full detailed implementation of Trinity methodology
Livestock	Representative herd/flock modelling from key descriptors	Detailed livestock class, performance and management modelling
Fertilisers and N₂O	Core emissions captured using streamlined inputs and inference	More explicit representation of products, practices and allocation
Fuel and energy	Simplified or inferred where appropriate	More precise enterprise and activity-level allocation
Residues	Estimated from crop and yield, with simplified management assumptions	More detailed residue quantity and handling representation
Soil carbon	Modelled estimate using location, system data and key management drivers	More detailed modelling plus optional measured soil data integration
Mitigation	Predefined, practical first-step options	Detailed scenarios, broader interventions and optimisation
Standards-ready reporting	Not the primary purpose	Stronger basis for detailed reporting and formal analysis
Natural capital breadth	Carbon-focused	Carbon, biodiversity, soils, water and natural capital valuation
Best use case	First step, engagement, rapid insight	Detailed strategy, reporting, assurance and integrated planning

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8. Why both matter

Rapid matters because it removes the fear and friction that often stop farmers engaging with carbon and natural capital in the first place. It provides a quick, robust and practical starting point.

Sandy matters because once that journey has started, many users want to go further: to understand cause and effect in more detail, align with recognised frameworks, incorporate biodiversity and wider natural capital, and support more strategic business decisions.

So the relationship is not “Rapid now, Sandy later because Rapid is incomplete”.

It is better understood as:

Rapid gets you moving quickly and confidently. Sandy lets you go deeper, broader and further.