With the rapid development of remote sensing, and earth observation technology, increasingly huge amount of geospatial data became available. These data enables the monitoring and evaluation of the environment and provides data source for numerous environment models, which in turn generate huge simulation results data. Utilization of both, remote sensing data and simulation results will be of great value for environmental related researchers, the public and local governments to support relevant research and environmental related decision- making processes. With these data, the government could establish the scientific rules for the exploitation and utilization of resources, to maintain the sustainable development of local economy and society. However, these data are heterogeneous and complex, exist in a variety of formats and is difficult to understand and analyze. Therefore, it is essential to build a system, which can integrate these data in a unified context, combine the relevant data sets, and present these data in an intuitive way.
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