Methodology
Asset level footprints
As a first input we use asset level data. We source the geographic locations of assets, initially as point locations of production sites, mines, factories, or farm sites. If possible, we also source outlines of the asset's footprints on the ground, aka the extent of a mine or the perimeter of an agricultural field. We then join these geospatial footprints with attributes further specifying the assets, ranging from ownership to production volume per site.
Environmental Data
The second crucial input is environmental data cap turing Environmental, Social and Governance (ESG) aspects relevant to the above assets, with a special focus on biodiversity. A typical source of such information is satellite remote sensing, a vibrant research field producing a plethora of rich geospatial data sets capturing various ESG aspects globally at frequent update rates.
Life Cycle Assessment LCA
Upstream and downstream effects are included via life cycle assessment methods. They allow us to include crucial ESG aspects along the ent ire supply chain that are not manifested in the immediate vicinity of the investigated assets.
Spatial Data Fusion
In the final step, we derive company ratings from the above environmental materiality. Our unique methodology based on the most recent scientific achievements form the fields of remote sensing, spatial data science as well quantitative finance replaces self disclosure based environmental sustainability data with a fact based, objective, reliable and timely company rating.