• Terhorst, Andrew
• Peters, Chris

Abstract

The Open Geospatial Consortium¿s (OGC) Web Processing Service (WPS) provides an interface for distributed geoprocessing: from discovery and description of available processes, description of input and outputs, to execution and retrieval of results.While the integration of various geoprocessing libraries into WPS implementations negates the need to redevelop common algorithms, authoring of processes for the WPS is still very much in the hands of the software developer, rather than the scientist.We propose that by integrating a workflow execution engine (in our case, Kepler) as a WPS processing engine, process content authoring becomes more accessible to the scientist.Existing geoprocessing framework integration solutions have a large reliance on additional user-generated metadata to properly define capabilities as required by the WPS specification.Whereas there were many different possibilities for integrating Kepler, we have chosen only those solutions that re-use and extend the model markup description already available in Kepler¿s workflow descriptions to make the task of adding new processes as dynamic and user-friendly as possible.We demonstrate an example application of Kepler-WPS integration with a Kepler workflow that produces gridded rainfall time-series products for ingestion in a rainfall-runoff model and demonstrate how raw rainfall observations from multiple OGC Sensor Observation Services can be post-processed with the WPS.

Topics

• impedance spectroscopy