About the dataset

In close collaboration with the Ocean Data Platform team, NoA Ignite's data scientists have developed an advanced big data solution based on open AIS data (Automated Identification System), vessel particulars and a calculation method from ICCT (International Council of Clean Transportation). The solution considers important variables such as ship dimensions, propulsion system, weather, fouling, and fuel type, so you can trend greenhouse gas emissions at hourly intervals from 250.000 ships around the world. 

The goal of the solution is to lower the threshold for increased insight and transparency for environmental impacts from shipping and inspire and promote tomorrow's solutions in green shipping. We provide easily accessible and relevant data through the Ocean Data Platform developer toolbox.  

As we advance, we aim for a solution that will offer different degrees of accuracy and resolution of the emission estimates. The simplest level will be an advanced empirical approach based on the ICCT method. We use open (satellite-based) position-tracking data, and it does not require any connectivity to the ship. 

The next level of accuracy will be to take advantage of machine learning algorithms trained with fuel/voyage data from thousands of ships and travel in all world areas under different conditions. This level will also be an excellent opportunity for shipping and logistics companies to share data anonymously for increased transparency and offer more accurate estimates without manual reporting. 

Furthermore, the highest level of accuracy may require connectivity to the ship and real-time data streams related to fuel consumption and associated emissions.