Virtual Geographical Environment-Based Environmental Information System for Poyang Lake Basin
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.
- 3.Kolditz, O., et al. 2012. OpenGeoSys: An open-source initiative for numerical simulation of thermo-hydro-mechanical/chemical (THM/C) processes in porous media. Environmental Earth Sciences 67 (2): 589–599. https://doi.org/10.1007/s12665-012-1546-x.
- 4.Rink, K., L. Bilke, O. Kolditz. 2017. Setting up virtual geographic environments in unity. In Workshop on visualisation in environmental sciences (EnvirVis), vol. 5. The Eurographics Association https://doi.org/10.2312/envirvis.20171096.
- 5.Bilke, Lars. (2015, September 3). VtkFbxConverter: 1.0.2. Zenodo. http://doi.org/10.5281/zenodo.30345.
- 6.Chen, L. 2014. Dynamic monitoring of Poyang Lake by spatio temporal and spatial-spectral blending models (in Chinese). PhD thesis. Beijing Normal University.Google Scholar
- 7.Du, Y., et al. 2018. Modeling of water quality evolution and response with the hydrological regime changes in Poyang Lake. Environmental Earth Sciences 77: 265.Google Scholar
- 8.Yue, T. 2011. Surface modeling: High accuracy and high speed methods, vol. 2. New York: CRC Press. ISBN: 1439817588.Google Scholar