This website summarizes the preliminary findings of two pilot studies of the Climate Action Science project. We constantly update this page and add additional information. In case you would like to learn more about the project, feel free to contact Max Jungmann (maximilian.jungmann@ipw.uni-heidelberg.de).
Estimation of Greenhouse gas emissions using OpenStreetMap
The project "Estimation of Greenhouse gas emissions using OpenStreetMap" examines the usefulness of publicly available proxy data, such as OpenStreetMap (OSM), for the estimation of greenhouse gas emissions. Within the project the quality of the proxy data is evaluated and a high-resolution greenhouse gas emission iventory is presented.
For this purpose, relevant greenhouse gas emitters are grouped into sectors following the Intergovernmental Panel on Climate Change (IPCC) Emission Factor Database (EFDB). Accordingly, OpenStreetMap tags are analyzed and aggregated according to the IPCC EDFB sectors. Next, emission values are assigned to the corresponding OSM objects resulting in an emission map. Finally, the quality of the emission inventory is examined using Artificial intelligence (AI).
Corresponding OSM features of the AFOLU sector for California are displayed on the following map:
Findings of Current Projects
OSM tag compositions for IPCC taxonomy
In the following table you see the OSM features which were extracted for each sector:
How many OSM features for each IPCC group were found in OSM is shown in the figure below:
