Computer Graphics and Interactive Systems

Computer Graphics and
Interactive Systems Laboratory

GreenLand application

 

GreenLand

1. General overview
2. System related architecture
3. Resources
3. Versions
     3.1 GreenLand v2
     3.2 GreenLand v1
5. Publications
6. Contact


General overview

The main objective of the GreenLand application is the generation and execution of workflows, based on satellite images. In this case each workflow could be represented as a DAG (Direct Acyclic Graph). The nodes of the graph could take the form of a simple operator or a sub-workflow. Multiple nested levels are allowed within the GreenLand application. The GreenLand is a Grid based application that offers scalability when dealing with large number of users and large processing data volume. Due to the computing and storage capabilities offered by the Grid infrastructure, the workflows execution times are significantly improved in comparison with standalone/cluster processing.

System related architecture

Fig9


The only way for a user to access the backend functionality of the GreenLand application is through its graphical user interface. In order to hide the complexity of the Grid mechanisms, the GreenLand application could be easily accessed as a Web application.

The rest services exposed by GreenLand are resident of the application server. When needed, they could be easily transferred to other locations without affecting the application functionality. These services manage the execution and monitoring of the workflows over the Grid infrastructure, but also the analysis and interpretation of results. The development of customized workflows is another issue related to this architectural level.

The gProcess platform interprets user requests in terms of Grid infrastructure commands. The EISP platform is represented in this architecture as a repository that collects the general information about each workflow. A detailed description of these workflows is stored in the GreenLand repository.

To obtain new user credentials (username, password) in order to use these applications, please email us at: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Versions

We developed two versions of the GreenLand application. The following paragraphs give a general description of the features integrated within these two applications.

GreenLand v2

The GreenLand v2 version represents a case study for the Istanbul geographical area and also for the Rioni river, situated in the western part of Georgia.  It offers support for GRASS (Geographic Resources Analysis Support System) operators. This is  a free Geographic Information System (GIS) software for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization. Because GreenLand operates mainly on satellite images – containing in some cases high confidential data – the Grid infrastructure adds an extra security layer (based on Grid certificates), besides the Web user authentication mechanism.

Various inputs are supported in the framework of this application, such as:

  • Satellite images: Landsat, MODIS, Aster, etc.;
  • Executable files;
  • Primitive inputs: numbers, strings, boolean values.

GreenLand v2 resources

GreenLand v1

The GreenLand v1 application is used in the classification field of the Landsat satellite images, and also used in the process of creating thematic maps. A thematic map contains information about the distribution of specific elements in nature (e.g. soil, water, air, vegetation, etc). The classification of vegetation is an important component of the management and planning of natural resources. This offers useful information for the classification of the ecological and habitat diversity, monitoring of fires, risk management (avalanches, floods, landslides, etc.) and control of vegetation health. The classification is performed based on vegetation indexes, like: NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index), IPVI (Infrared Percentage Vegetation Index), GEMI (Global Environmental Monitoring Index) and SAVI (Soil-Adjusted Vegetation Index).

GreenLand v1 resources

Publications

  1. D. Mihon, V. Colceriu, V. Bacu, D. Rodila, D. Gorgan, K. Allenbach and G. Giuliani, “OGC Compliant Services for Remote Sensing Processing over the Grid Infrastructure” International Journal of Advanced Computer Science and Applications(IJACSA), EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment", 2013. pp.32-40, http://dx.doi.org/10.14569/SpecialIssue.2013.030304
  2. D. Mihon, V. Colceriu, V. Bacu and D. Gorgan, “Grid Based Processing of Satellite Images in GreenLand Platform” International Journal of Advanced Computer Science and Applications(IJACSA), EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment", 2013. pp.41-49, http://dx.doi.org/10.14569/SpecialIssue.2013.030305
  3. V. Colceriu, D. Mihon, A. Minculescu, V. Bacu, D. Rodila and D. Gorgan, “Mathematical Modeling of Distributed Image Processing Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment", 2013. pp.50-57, http://dx.doi.org/10.14569/SpecialIssue.2013.030306
  4. F. B. Balcik, D. Mihon, V. Colceriu, K. Allenbach, C. Goksel, A. O. Dogru, G. Giuliani and D. Gorgan, “Remotely Sensed Data Processing on Grids by Using GreenLand Web Based Platform” International Journal of Advanced Computer Science and Applications(IJACSA), EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment", 2013. pp.58-65, http://dx.doi.org/10.14569/SpecialIssue.2013.030307
  5. V. Colceriu, D. Mihon, and D. Gorgan, "Optimizing the satellite images execution process through a decision mediator approach," Proceedings of the 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, pp. 343-346, IEEE Computer Society, 2013.
  6. D. Mihon, D. Gorgan, "Interactive applications development methodologies for spatial data processing and visualization", PhD Thesis, 2013.
  7. D. Mihon, A. Minculescu, V. Colceriu, and D. Gorgan, "Descrierea diagramatica a prelucrarii distribuite a datelor spatiale," Revista Romana de Interactiune Om-Calculator, vol. 5, no. 3, pp. 59-80, 2012.
  8. D. Gorgan, V. Bacu, T. Stefanut, D. Rodila, and D. Mihon, "Earth observation application development based on the Grid oriented ESIP satellite image processing platform," Comput. Stand. Interfaces, vol. 34, no. 6, pp. 541-548, 2012.
  9. D. Mihon, V. Bâcu, T. Ştefănuţ and D. Gorgan. "Tehnici de interactiune utilizator in aplicatiile de prelucrare a imaginilor satelitare; exemplificare pe baza aplicatiilor GreenView si GreenLand". A saptea Conferinta Nationala de Interactiune Om-Calculator. 2010. pp. 37-44.
  10. D. Mihon, V. Bâcu, T. Ştefănuţ and D. Gorgan. "Considerations on the Grid Oriented Environmental Application Development Framework". IEEE 6th International Conference on Intelligent Computer Communication and Processing, ICCP2010. 2010. pp. 419-426.
  11. D. Gorgan, V. Bâcu, T. Ştefănuţ, D. Rodilă and D. Mihon. "Grid based Satellite Image Processing Platform for Earth Observation Applications Development". IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2009. 2009. pp. 247 - 252.

Contact

You could contact us at: This e-mail address is being protected from spambots. You need JavaScript enabled to view it