Terranis is a French SME specialised in applied Earth observation for forest, agriculture and land management. We bring the chain from satellite and LiDAR observation to spatially explicit decision support, and we look for consortia where that chain is a gap rather than a duplicate.

What we already operate: forest and vegetation mapping, combining new satellite-derived layers with existing databases; detection and annual tracking of forest dieback from dense satellite image time series, currently Sentinel-2; forest structure, biomass and fuel load from airborne LiDAR and GEDI; water stress indicators referenced to multi-year baselines; vulnerability mapping from climate and site conditions, projected under climate scenarios; decision-support tools based on multi-criteria decision analysis, turning these layers into ranked, explainable priorities.

As an SME we develop methods into documented, reproducible processing chains, and we are equally used to research and innovation projects: validation against field data, publication, and our own scientific questions. Some we would bring: How reliably can dieback be characterised from satellite image time series, and against which ground reference? How far does that hold across species, regions and types of decline? Which observations and indicators capture the earliest canopy signals that precede visible dieback, so that decline is detected while action is still possible? And how well can dieback risk be predicted from site conditions, recent climate and long-term climate?

We are looking for field data and plots, expertise in biotic agents, silviculture and ecology, socio-economic and governance partners, and end users for the decision layer.

Terranis is a French SME based in Toulouse and has worked in applied Earth observation since 2014. We are used to handling large volumes of satellite and airborne data, and our chains scale from a single site to national coverage. We reproducible products and decision-support services, to public and private stakeholders.

Beyond forest health, we produce land cover and land use layers, decision-support tools for ecological networks and biodiversity, and wildfire vulnerability assessments combining vegetation state, fuel and hazard, with the same prioritisation approach.

In a consortium we bring observation, data science, indicators and decision support, and we can either lead a work package on these or contribute to one. We currently work on forest dieback with the P2E laboratory (University of Orleans), which brings plant ecophysiology to the chain.