Abstract
Abstract. Various types of 3D simulation applications benefit from realistic forest models. They range from flight simulators for entertainment to harvester simulators for training and tree growth simulations for research and planning. Our 4D forest simulation and information system integrates the necessary methods for data extraction, modelling and management. Using modern methods of semantic world modelling, tree data can efficiently be extracted from remote sensing data. The derived forest models contain position, height, crown volume, type and diameter of each tree. This data is modelled using GML-based data models to assure compatibility and exchangeability. A flexible approach for database synchronization is used to manage the data and provide caching, persistence, a central communication hub for change distribution, and a versioning mechanism. Combining various simulation techniques and data versioning, the 4D forest simulation and information system can provide applications with "both directions" of the fourth dimension. Our paper outlines the current state, new developments, and integration of tree extraction, data modelling, and data management. It also shows several applications realized with the system.
Highlights
At 3D GeoInfo 2012, we presented an innovative and efficient way to generate “Virtual Forests” from remote sensing data (Bücken 2013)
This approach is the first step towards various forestall simulation applications based on real-world data like the simulation of forest machines (Figure 1), a flight simulator, or a tree growth simulation
To provide a basis for an efficient and modern data management of such vast datasets, a databasedriven method for 3D simulation systems previously presented at 3D GeoInfo 2010 is used (Hoppen 2010)
Summary
At 3D GeoInfo 2012, we presented an innovative and efficient way to generate “Virtual Forests” from remote sensing data (Bücken 2013). To provide a basis for an efficient and modern data management of such vast datasets, a databasedriven method for 3D simulation systems previously presented at 3D GeoInfo 2010 is used (Hoppen 2010). It provides a persistence layer and a common data schema for simulation systems. A shared world model is efficiently managed in a geo database and filled using modern techniques of semantic world modelling The latter transform remote sensing data into a semantic object representation that can be used for the various simulation scenarios as mentioned above. The peer-review was conducted on the basis of the abstract
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