Abstract: Three-dimensional (3-D) visualizations of forest landscapes are quantitative ecological information-based technique that can be used to visualize forest structure, dynamics, landscape transformation, and regional plans. Visualizing forests and landscapes with limited ground observations are often the primary challenge for quality animations.  Conducting stand-level field surveys over a large forest area is time consuming, labor-intensive, and expensive.  An alternative is to use the existing public datasets.  We used the Forest Inventory and Analysis (FIA) database and other existing vegetation data along with classified Landsat TM imagery, measurements of tree architecture, and Forest Vegetation Simulator (FVS) to visualize a forest landscape in the Washburn District of the Chequamegon National Forest (CNF) in northern Wisconsin to generate useful information for resource management at multiple scales.  Realistic images for tree species were designed using the Tree Professional 5 software package.  Empirical models were developed to calculate necessary information such as tree height and stand density from DBH, basal area, and species composition.  The 3D visualizations were developed at stand and landscape levels within the Visual Nature Studio 2.01. Different perspectives of the forests and landscape were visualized through zooming, variable latitudes, and flying through. Potential applications of these animations are discussed within a context of alternative management of forests and landscapes (e.g., fire and harvesting), public education, and decision-making process. Results from our study demonstrate that public datasets are suitable for visualizing the dynamics of forests and landscapes, although precisely visualizing forest history is still challenging. It is appropriate to use FIA data for stand level visualization, and existing vegetation data for landscape scale visualization. With these different public data sources, forests at different levels, from stand to landscape / regional level, can be visualized.