The effective visualization of terrain and sea surfaces in the Jobos Bay Reserve will allow researchers and managers new opportunities by incorporating remotely gather data from satellite, aerial and  wireless sensors with GIS to provide an unified view of the reserves assets in which the interaction between the different natural and human-caused phenomena can be better studied. 

The magnitude of the data required to perform  precise and effective visualization is to large for storing and/or processing in common computers. By employing rendering level-of-detail techniques (LOD) , we can reduce the data to a level manageable size while retaining the maximum detail where  required and by harnessing the communication power of the Internet
we can provide powerful visualization capabilities without requiring high-performance computing or massive storage devices.

In particular, by developing a new data partitioning  and management scheme which will exploits the natural spatial coherence associated to terrain surfaces in order to unify the     data management requirements for both LOD algorithms,  and for data and metadata streaming.