Technical and scientific advancements are leading to new tools serving the land sector. But, not all tools are created equal. Many can satisfy a piece of the data, modeling, and reporting puzzle, but it can be overwhelming to optimally combine them into an effective solution for assessment and reporting of your deforestation risk, greenhouse gas emissions, biodiversity impact, and carbon project feasibility.
Different forests, at different life stages, growing in different conditions, draw in atmospheric carbon at different rates.
Wildfires, harvests, and broad deforestation interrupt normal growth patterns and must be incorporated.
Users may have a wide range of information about their land’s history and future management plans, and that data may be at variable resolutions.
Regulators and carbon markets often have strict requirements for methods and data used to calculate carbon emissions and sequestration, and how that should be reported.
The system adapts to users’ varying knowledge about their areas of interest, whether it’s a generalized geopolitical region or a polygon for an individual field. It also incorporates remote sensing for land cover changes, data for land management practices, and jurisdictional, financial, and supply chain data to enhance the accuracy and relevance of land sector analyses.
Our comprehensive modeling suite analyzes historical changes and models future scenarios by taking into account various factors such as different forest types, disturbances, and regulatory requirements. While remote sensing and historic data allows us to assess where we are today, our models allow us to project into the future. This is critical to understand risk and opportunity scenarios, and for setting science-based climate and nature targets.
Our transparent and compliance-ready reporting provides personalized insights from a plot of land to portfolio level through our easy-to-use dashboard and raw data formats that can be easily integrated with your own process.
FLINTpro models align with standards set by the IPCC, GHG Protocol, and other frameworks. This includes support for Tier 1, 2, and 3 methods.
At the simplest level, FLINTpro uses globally-available models with default input datasets to allow you to assess your land with no input besides where it is in the world.
FLINTpro's spatial resolution ranges from 10 m to 1 km depending on your use case and the resolution of input data. This allows us to capture all relevant detail, whether we’re modeling a single field or an entire country.
At the simplest level, FLINTpro uses globally-available models with default input datasets to allow you to assess your land with no input besides where it is in the world.
As you collect more data and need to align with evermore rigorous protocols and standards, we support you with Tier 2 and Tier 3 modeling frameworks.
Remote sensing. FLINTpro uses satellite-derived products to identify land cover changes such as forest cover loss and gain, landscape disturbances such as wildfire, and many other environmental variables. These can be open or private datasets and acquired by FLINTpro or our users.
Land management. In many cases, you will have deeper knowledge about your land than what satellites can tell you. Our models can incorporate the nuances of your land management practices including varying crop rotations, silviculture practices, controlled burning activities, and use of different tree species.
Other data. Jurisdictional data, risk maps, financial data, social data, and supply chain data are just some examples of key datasets that can be incorporated into a FLINTpro analysis to make the results more meaningful to your use case.
Streamlined reporting. Rapid land sector assessments are paired with simplified dashboards that communicate outputs and identify key risk factors and impacts. FLINTpro also streamlines reporting and accounting needs for popular use cases including regulatory reporting and target setting.
Complete data access for analysis. FLINTpro can be used as a scientific tool that provides complete transparency to technical teams. Powerful in-app pivot tables support flexible data discovery. All outputs are available in raw formats (TIFF files for spatial outputs, CSV for tabular outputs) that can be integrated with your data processes and analysis.
Consistent, standardized workflow for conducting sophisticated land sector analysis and reporting.
Store input data and model settings for reuse
Results are tagged with the data and methods used to generate them
Supports auditing, quality control, handovers, and addressing questions on output provenance
Cloud-hosted SaaS platform supports analyses covering a single farm to an entire country
Aggregate data covering hundreds of thousands of plots of land to get a portfolio view
Simulate multiple geographies and scenarios within an account
Switch between regions to access data and models tailored to each location
We use remote sensing as one type of input to our connected platform for data, models, and analytics. While remote sensing is valuable for understanding past and present land use, it is not a panacea. It can’t be used for scenario models, which let users understand how carbon emissions and other factors are affected by different land management choices. It also has limitations, such as in differentiating untouched forest from a cocoa plantation. For that reason, we incorporate remote sensing data as one component alongside survey data and other ground-based measurements.
The platform incorporates open datasets by default. You may bring in remote sensing data that you have purchased yourself. We can advise you on the best use of paid data based on your needs and our long experience in this sector. We also have a network of data partners that we can work with to deliver a solution that meets your requirements.
These tiers were defined by the IPCC to categorize land sector models.
Absolutely. Our Solutions team stands ready to support you at every stage. We provide training and support, and have a good selection of walkthrough and step-by-step guides to help you. We are also happy to run models on your behalf and guide you through interpreting the results.
