The ForestSphere project aims to develop a Digital Twin for forest management
Recognising its socioeconomic and ecological importance. Forests contribute significantly to the European Union's GDP and serve as major carbon sinks. However, forest fires pose a substantial threat to forests, leading to environmental damage, loss of life, and economic losses.
Despite advances in Digital Twin technology across various sectors, the current literature has limited exploration of its applications in forest management, particularly in wildfire prediction.
The ForestSphere project aims to develop a Digital Twin for forest management
Recognising its socioeconomic and ecological importance. Forests contribute significantly to the European Union's GDP and serve as major carbon sinks. However, forest fires pose a substantial threat to forests, leading to environmental damage, loss of life, and economic losses.
Despite advances in Digital Twin technology across various sectors, the current literature has limited exploration of its applications in forest management, particularly in wildfire prediction.
Innovative
features
Combining data from ground sources, drones, and satellites to build a dynamic and accurate digital representation of the forest.
Using AI algorithms and machine learning to predict wildfire risk and fire propagation.
Applying robotic mapping and remote sensing technologies to generate detailed three-dimensional models of forest ecosystems.
Developing interfaces with 3D visualisations and augmented and virtual reality environments, facilitating decision-making by authorities and field teams.
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