¶ Forest Digital Twin
| Company | Forest DTC (ESA Digital Twin Earth) |
| Country | Europe |
| Website | https://www.foresttwin.org/ |
| Category | Planning & Inventory › Remote sensing & mapping |
¶ Overview
A forest digital twin is a dynamic, data-driven virtual replica of a real forest ecosystem or plantation estate that is continuously updated with real-world sensor data to reflect the current state of the forest and enable simulation, prediction, and optimisation of management interventions. Derived from the digital twin concept pioneered in aerospace and manufacturing, forest digital twins integrate geospatial layers — including LiDAR-derived canopy structure models, satellite-derived spectral indices, soil maps, hydrological networks, and road infrastructure — with growth models, climate data, and operational records to create a living, queryable representation of the forest at fine spatial and temporal resolution. Forest managers and researchers use digital twin platforms to simulate the outcomes of alternative silvicultural treatments, harvest schedules, and infrastructure investments before implementing them in the field, reducing costly trial-and-error. They also support real-time monitoring by ingesting data from IoT soil moisture sensors, weather stations, drone surveys, and harvesting machine telematics. In Australia, forest digital twin development is gaining momentum in both the plantation sector and in environmental management contexts, driven by the availability of national LiDAR datasets, the Digital Earth Australia satellite analytics platform, and growing investment in precision forestry technology by industry bodies such as the Forest and Wood Products Australia (FWPA). Notable research initiatives at universities including the ANU, University of Melbourne, and University of Queensland are exploring digital twin frameworks for eucalypt and softwood plantations to improve yield prediction and carbon accounting. International examples include the European ForestMind project and the Finnish Forestry.AI initiative. As cloud computing costs fall and data integration tools mature, forest digital twins are expected to become standard management infrastructure for large-scale commercial forest enterprises globally.
¶ Assessment
A promising optimisation tool that supports planning efficiency and reduces climate- and management-risk through scenario modelling.
¶ Details
| Field | Value |
|---|---|
| Company | Forest DTC (ESA Digital Twin Earth) |
| Country | Europe |
| Type | Company |
| Available in AU? | perspectively |
| FWPA RD&E | 7.5 |