A Virtual Globe for Environmental Impact Assessment

The Virtual Globe application provides a platform for configuring and running high resolution environmental models nearly anywhere in the world. Various global datasets can be used as model inputs, such as the SRTM elevation model, global vegetation data from MODIS, land use classification based on GLOBCOVER, climatic data, soil information, population density, and near real time weather forecasts. The PCRaster-Python Framework is used as a modelling backend, and the platform is developed by the PCRaster team at the Department of Physical Geography at Utrecht University.

Try the demo! (tested with Firefox, Chrome, and Safari) or have a look at an overview of the features.