List of project proposals


SpatialIndoor is a project for those developers and consumers who are interested in the spatial positioning of a user moving in an indoor environment using passive sensor technologies.


GeoPeril merges complementary external and in-house cloud-based services into one platform for automated background GPU computation, for web-mapping of hazard specific geospatial data, and for serving relevant functionality to handle, share, and communicate threat specific information in a collaborative and distributed environment.

Operators in warning centres and stakeholders of other involved parties just need a standard web browser to access the early warning and fast response system in the cloud. The platform can be accessed in two different modes, the monitoring mode and the exercise-and-training mode. The monitoring mode provides important functionality required to act in a real event. So far, the monitoring mode integrates historic and real-time sea level data and latest earthquake information for tsunami early warning purposes. The exercise-and-training mode enables training and exercises with virtual scenarios. This mode disconnects real world systems and connects with a virtual environment that receives virtual earthquake information and virtual sea level data re-played by a scenario player. Thus operators and other stakeholders are able to train skills and prepare for real events and large exercises.

The integration of GPU accelerated tsunami simulation computations have been an integral part to foster early warning with on-demand tsunami predictions based on actual source parameters. Thus tsunami travel times, estimated times of arrival and estimated wave heights are available immediately for visualization and for further analysis and processing. The generation of warning messages is based on internationally agreed message structures and includes static and dynamic information based on earthquake information, instant computations of tsunami simulations, and actual measurements. Generated messages are served for review, modification, and addressing in one simple form for dissemination via Cloud Messages, Shared Maps, e-mail, FTP/GTS, SMS, and FAX. Cloud Messages and Shared Maps are complementary channels and integrate interactive event and simulation data. Thus recipients are enabled to interact dynamically with a map and diagrams beyond traditional text information.


GeoWave leverages the scalability of a distributed key-value store for effective storage, retrieval, and analysis of massive geospatial datasets. 
Currently, GeoWave is an open source set of software that:
  • Adds multi-dimensional indexing capability to Apache Accumulo
  • Adds support for geographic objects and geospatial operators to Apache Accumulo
  • Contains a GeoServer plugin to allow geospatial data in Accumulo to be shared and visualized via OGC standard services
    • Both raster and vector data models are supported
  • Provides Map-Reduce input and output formats for distributed processing and analysis of geospatial data
  • Provides a PDAL plugin for interacting with point cloud data in accumulo through the PDAL library.
In simplified terms, GeoWave currently attempts to do for Accumulo as PostGIS does for PostgreSQL.
Work is underway at extending the same capabilities to other distributed key-value stores than Accumulo, as well as to other geospatial frameworks. The next back-end implementation will be HBase, while Mapnik is then next targeted geospatial framework.


TEAMEngine (Test, Evaluation and Measurement Engine) is a Java-based test harness for testing web services and other resources. It executes test scripts written in the OGC Compliance Test Language (CTL), TestNG, and other languages.  It is lightweight and easy to run as a command-line or web application.

TEAMEngine can be used to test any type of service, encoding or (meta)data resource.  It is the official test harness used by the Open Geospatial Consortium's (OGC) compliance program. Visit the project documentation website for more information at