ForInS
A Multi-Hazard Forest Score for insurance and natural-capital investors

Simplified illustrative concept: A schematic of how a single forest stand’s ForInS score could be presented. Scores and values are placeholders for design purposes only; no real data is shown and the research has not yet been carried out.

Co-funded by the European Space Agency
This project is carried out under a programme of, and co-funded by, the European Space Agency (ESA).
The views expressed on this website can in no way be taken to reflect the official opinion of the European Space Agency.
The views expressed on this website can in no way be taken to reflect the official opinion of the European Space Agency.
Multi-hazard
One score, four hazards
Windthrow, bark beetle, drought and wildfire, including the cascade between them, expressed as a single, comparable metric.
Hectare-precise
Stand-level resolution
Satellite-derived, geo-referenced output designed to slot into underwriting and portfolio workflows across Europe.
Insurance-grade
Built on NatCat methods
Methodology grounded in (re)insurance natural-catastrophe analytics and peer-reviewed Earth-observation science.
Why a forest score is needed
German forest damage, 2018–2021 (DFWR)
Insurance penetration, private forest (DE)
Cost of a single local forest survey
The feasibility study
Within a DACH pilot region, we test whether a satellite-based score is operationally viable for insurers, and how the market potential should be classified.
- Backtest of the windthrow score against documented storm-loss events Proof of concept for bark-beetle exposure from vegetation & climate data Structured interviews with underwriters and NatCat analysts Cost comparison: satellite scoring vs. traditional field surveys
- Machbarkeitsnachweis für die Borkenkäfer-Exposition auf Basis von Vegetations- und Klimadaten
- Strukturierte Interviews mit Underwritern und NatCat-Analysten
- Kostenvergleich: satellitengestütztes Scoring vs. traditionelle Vor-Ort-Erhebungen
Partner with us
For reinsurers, specialty insurers, brokers with forest exposure, and asset managers or timberland funds. Gain early insight into a potential pricing and exposure tool, benchmark a real score example against your own loss experience, and shape data format and integration.
Talk to our team about ForInS
A brief, non-binding technical exchange — by phone or video — is the best first step




