Geospatial Data has always been Big Data. Now Big Data Analytics for geospatial data is available to allow users to analyze massive volumes of geospatial data. Petabyte archives for remotely sensed geodata were being planned in the 1980s, and growth has met expectations. Add to this the ever increasing volume and reliability of real time sensor observations, the need for high performance, big data analytics for modeling and simulation of geospatially enabled content is greater than ever. In the
Under INSPIRE, to improve environmental policy making in Europe, Member States must make available in a consistent format spatial datasets within the scope of the Directive, and create services for accessing these datasets.
A new standard being developed in the OGC has an important part in improving shared situational awareness. The candidate OGC Web Services (OWS) Context standard encodes the key elements of a common operating picture: the geographic area, an optional time range, and an ordered series of layers from different services or inline content. This allows a situational awareness view of one user to be passed to other users so that the same picture can be reconstructed.