The primary goal is to develop an operational monitoring, reporting and verification (MRV) framework to quantify carbon and greenhouse gas budgets for different types of ecosystems. Recently, we have been focusing especially on agricultural fields.

In addition to accumulating scientific knowledge of different ecosystem functions this work contributes to the information needs of 1) national and regional GHG inventories, 2) carbon footprints, and 3) life cycle analyses (LCA), carbon credits, offsetting, and insetting.

We are developing and using three modeling approaches: 1) Sentinel-2 satellite data coupled with FMI in-house model Yasso, 2) a large collection of process-based ecosystem models, and 3) artificial intelligence (AI), machine learning (ML), and emulators.

We are developing and using an IT system to facilitate the modeling work and applications.

In practice, the work includes mainly:  

• The development and testing of ecosystem models to simulate the carbon sequestration and other greenhouse gas exchange on mineral soils and peatlands, including agricultural fields, forests and bogs, and 

• Integration of various data streams, improved models, and model outputs into the information and calculation system to estimate field-specific greenhouse gas budgets now and in future climates with current and improved management. 

In the Field Observatory service, you can find information and examples of carbon sequestration measurements and modelling on different experimental sites with varying data coverage. 

The work contributes to the Carbon Action platform, which connects the different stakeholders: farmers, researchers, businesses, and decision makers.