Breaking the ESG rating divergence: An open geospatial framework for environmental scores
Read paper Key Takeaways This geospatial framework is the first for corporates and investors to assess the environmental impacts of a study area, and uses open access tools and data. An industrial test case for a coal mining area is included in the paper. ESG impact assessment can benefit from applying geospatial datasets in analysis. […]
Report: Location, Location, Location: Asset Location Data Sources for Nature-Related Financial Risk Analysis
The availability and state of nature and biodiversity, as well as the quality of ecosystem services, are inherently location specific. Financial institutions looking to assess nature-related financial risks, impacts and opportunities require location information of their counterparties. But this information is often perceived to be unavailable. This report provides an overview of different sources of asset location […]
Paper: Location, location, location: asset location data sources for nature-related financial risk analysis (2025)
1. Nature, the services it provides and the threats it is exposed to are inherently location-specific. Therefore, financial institutions will need to apply geospatial analysis to accurately assess nature-related financial risks. 2. As a minimum, this requires knowing where a counterparty’s operations or supply chains are located. Asset location information is often cited by financial […]
A Field-Level Asset Mapping Dataset for England’s Agricultural Sector
The agricultural sector is a major contributor to greenhouse gas emissions, yet the lack of asset-level farm data, including ownership, land use, and production, hinders effective transition finance and decarbonisation efforts. To address this gap, we developed an open-source farm-level dataset using natural language processing (NLP) and unsupervised learning, mapping farm names to spatial polygons […]