The Climate Crisis is one of the most urgent challenges for humankind, and its impacts are becoming increasingly severe. However, whilst perception and awareness of the crisis is increasing, also is the gap between awareness and action: While tackling the Climate Crisis needs action in every aspect of society, it seems to be unclear for many stakeholders what type of action is in fact needed and demanded. This lack of ‘knowing how to act’ becomes especially apparent in the grave inaction of individuals and societies as a whole. Hence, a very heterogeneous group of stakeholders is concerned about taking the right actions and making a wide variety of efforts, ranging from rainwater harvesting and community based approaches to promoting bikeability and creating green spaces in urban environments. To combat the Climate Crisis, intentional action is needed and has to start at various levels and locations.
HeiGIT supports stakeholders by providing actionable data analyses and tools to help communities and decision-makers to achieve climate neutrality. In the first step, a platform is developed where the status of a wide variety of high resolution spatial climate action indicators, even at the scale of neighbourhoods, such as user-friendly public transportation or the availability of green energy, is displayed and thus made accessible to communities and decision-makers. This geographic information is tailored to meet the specific demands of different actors in each respective region, and even down to the neighbourhood scale. On a local level, volunteered geographic information (VGI) can help to uncover local perspectives and fill data gaps.
For further information, please contact Kirsten von Elverfeldt.
Indicators for Climate Action
High-resolution spatial indicators in various sectors relevant for climate action will be generated within the framework of the project. State-of-the-art methodology and data, such as volunteered geographic information (VGI), machine learning, or remote sensing, will be used for that goal. For each sector, several climate action indicators will be derived, which show the impact of already implemented measures and the potential of not yet implemented measures. The sectors and indicators include, but are not limited to:
Energy, e. g. density of solar / photovoltaic panels,
Estimation of change of greenhouse gas (GHG) emissions on a local scale
Transportation, e. g. bikeability, walkability, public transportation
Supply, e. g. accessibility of farmers’ markets.
A Platform for Stakeholders
The platform and accompanying applications will provide different Climate Action indicators for different regions. It will thus be possible to compare the respective region of interest to other, similar areas. The platform is rooted in a knowledge base that is through utilisation of artifical intelligence is capable of learning and thus evolving. This knowledge accumulator is thus constantly aggregating and connecting existing knowledge. Furthermore, a citizen science approach, i. e. regarding citizens as experts for their living environment, ensures that theplatform will continuously reflect as well as generate new understanding.
A framework of high-resolution spatial indicators will be developed, which will offer tailored data, information, reports, maps, and diagrams on specific climate indicators, and for specific regions at the neighbourhood level. Through quantitative and qualitative analysis of the developed indicators an array of potential actions on each indicator will be derived. To serve this purpose, information derived from many different data sources will be combined, including open geoinformation data (e.g. OpenStreetMap (OSM) and OpenRouteService (ORS), satellite data, and scientific articles
Access for partners
The platform will allow to
use cititzen-generated geographic data from OSM and other VGI sources,
display, download and analyse geospatial data,
compare indicators across different neighbourhoods, communities, and other defined areas of interest, and
transfer knowledge and get feedback from users.