Spatial data processing on high performance computation architectures

Spatial data models are complex and huge for large geographical area and high resolution. The management, the processing, and the visualization of such extensive models require high performance computation architectures, heterogeneous software platforms, and new methodologies for development and execution of Earth Science applications. The presentation highlights these challenges by exemplifying the gSWAT, GreenLand, and eGLE applications, developed through the enviroGRIDS project, and available in the BSC-OS Portal. It is presented as well the work of other related research projects such as the BIGEARTH project on spatial big data analysis and processing.