Speaker
Description
Keywords
Grid computing, satellite image, workflow, process description, environmental application
URL for further information
http://www.see-grid-sci.eu/
Impact
The content of the satellite images supplies information on the earth surface, weather, climate, geographic areas, pollution, and natural phenomena. The main processing consists of imagery classification that is actually a search of information through combinations of multispectral bands of the satellite data. Moreover, the data exploration and interpretation depends on many variables such as satellite image type (e.g. Landsat), location, vegetation, season, and context (e.g. clouds). All these specific and variable conditions require flexible software tools to support an optimal research within the space of solutions. The ESIP platform will support the development and the execution of the Grid based applications concerning particularly with the processing of satellite images and generally with environmental related processing and studies. ESIP will use spatial data provided by the GENESI-DR project’s services, and will be a basic platform for the GISHEO (ESA) and EnviroGRIDS (FP7) projects.
Conclusions and Future Work
The ESIP platform will be developed for the gLite middleware available on EGEE and SEE-GRID infrastructures. It will support the rapid development of environment applications such as GreenView through the SEE-GRID-SCI project. The primary aim of this application is a refinement of surface and vegetation parameters in SEE regions based on satellite images. New interactive tools, pattern processing, and services will be developed to make ESIP appropriate for general processing of spatial data.
Detailed analysis
ESIP is based on the gProcess platform developed by the MedioGrid national research project. The gProcess toolset supports the flexible description, instantiation, scheduling and execution of the Grid processing. ESIP provides the user with the possibility to explore the optimal solutions for Grid processing and information searching in the multispectral bands of the satellite images. The optimal processing is achieved in terms of code optimization, total execution time, and data communication costs over the Grid.
The ESIP platform is a collection of Grid services and tools providing the following basic functionality:
- Visual manipulation based interactive description of the Grid based satellite image processing by pattern workflow
- Development of hypergraphs as a composition of basic operators, services, and subgraphs
- Pattern workflow instantiation for particular satellite image
- Satellite data management, access and visualization
- Workflow based Grid execution
