About us
FSOS (Forest Simulation Optimization System) is a cloud-based forest modelling platform (https://fsos.ca) with visual interfaces, GIS tools and self-learning growth and yield stand dynamic tools for spatial forest modelling. Sustainable forest management must consider many functions such as wood flow, watershed condition, carbon storage, wildlife habitat, biodiversity, recreation, visual quality, and economic contributions. The resilience of fires, insects and diseases is also a management objective. The sustainability of so many forest functions make forest management complicated and difficult.
Figure, Interfaces of cloud-based digital forests https://fsos.ca.
In FSOS, pre-trained MI (ML) is used to predict the future stand dynamics, and the real-time MI is used to generate strategies to sustain, balance and optimize multiple functions of the forests. The cut blocks, roads, patches for the entire planning horizon are dynamic and optimized to create desired future forests in terms of wood flows, socioeconomics, carbon storage capacities, wildlife habitat, biodiversity, visual quality, and the resilience of forests to fires and insects.
Figure, Digital forests https://fsos.ca and real forests.
Forest models become digital forests in FSOS, you can build digital forests for the real forests in the cloud or on your own network. The digital forests accumulate knowledge, learn from history, explore opportunities, and generate management strategies to create desired future forests. The real forests follow the digital forests to implement on the ground and provide feedback. The digital forests adapt and rebalance automatically. The digital forests and the real forests work together shoulder to shoulder, and the forest landscape management is automated.
With digital forests in FSOS, forest management decisions can always be made based on balancing the interests of all users. All interests can be considered in decision-making. The digital forests never forget the interests of any parties and always work toward balanced objectives. The objectives can be achieved surely and slowly because people can see the future results and roadmaps of different management scenarios through digital forests. Forest management will have fast adaptive abilities without rebuilding models when new information is available because the smart digital forests are standing behind the real forests all the time.
Who We Are
We are a group of people who build digital systems to mimic real systems. The virtual system can help us understand, explore, optimize, and design the real system. The real system follows the virtual systems to implement in the real systems and feedback. The virtual systems adjust and rebalance automatically. The virtual systems and the real systems work together, hands by hands, a complex system can be fully formed as an autonomous driving system.
