Overview

The integration of multi-disciplinary data sets is an essential element in making significant progress in understanding the complex processes operating at the Earth's surface and within its interior. And yet it remains a challenge. The myriad of data formats, coordinate spaces, semantics issues, and compute platform quirks create major challenges for developing integrated data models and generic software frameworks. The OEF addresses these problems via an open-source, open systems effort to create a broad software platform for the integration and visualization of multi-dimensional data

The OEF employs a tiered architecture that separates the details of data file formats and web protocols from the semantics of data models. The OEF's tiers manage data reprojection on demand while maintaining data in its original coordinate system. Data is read from disk or web services on-demand and cached for faster local access.

The OEF visual analytics features layer together 2D and 3D data sets within an interactive 3D scene. Images and 2D features may be overlaid atop the topography while 2D surfaces and 3D tomography may be drawn above or below. Layers may be turned on and off, or made semi-transparent. Colors may be changed, shading controlled, and tomographic data sets isosurfaced and sectioned in real-time.

File format read & write:

  • NetCDF 2D and 3D grids
  • ESRI Shapefiles
  • ESRI DEM grids
  • ESRI projections
  • GeoSOFT GXF grids
  • CSV tables, and 2D and 3D grids
  • USGS earthquake compressed lists
  • WMS image overlays and topography

Data model management:

  • Coordinate space translation/projection
  • Multiple overlapping 2D & 3D layers
  • On-demaind I/O and data cacheing

Visual analytics:

  • On-demand projection
  • Overlapping 2D and 3D layers
  • Interactive 3D viewing
  • Real-time shading
  • Adjustable isosurfaces and sectioning planes
  • Color and opacity control
  • Accelerated by 3D graphics hardware

Development:

  • Pure Java
  • Mac, Windows, and Linux
  • Open source
  • NASA WorldWind integration