Denisa Rodila

Experiments on ESIP—Environment oriented satellite data processing platform

The paper describes the features and the architectures of the ESIP (Environment oriented Satellite Data Processing) and gProcess platforms, supporting the Grid based satellite imagery processing. Features such as Grid services, interactive components, workflow execution, process monitoring, and service composition provided by gProcess, and satellite image processing operators provided by ESIP are described. The paper exemplifies the workflow based description of the GEMI vegetation index in ESIP. The experiments highlight and evaluate as well the performance of the GEMI workflow execution over the SEE-GRID infrastructure.

Grid based satellite image processing platform for Earth observation application development

Satellite images supply important information on earth surface, weather, clime, geographic areas, vegetation, and natural phenomena. Processing of satellite data requires high computation resources and flexible tools in order to search, discover, and reveal the main information, to experiment new algorithms, and to include them into new Earth Observation applications. This paper describes the features and the architectures of the ESIP and gProcess platforms, supporting the Grid based satellite imagery processing. The development methodology of Earth Observation applications is highlighted as well in order to hide the Grid complexity to the user.

Grid based architectural components for SWAT model calibration

Different scenarios based on environmental changes and water quality models could be used to assess the sustainability and vulnerability of a particular geographical region. The gSWAT application allows the calibration of SWAT models and the execution of different scenarios based on calibrated SWAT model over the Grid infrastructure. Based on the requirements for the SWAT models, lots of input and output data, the high number of simulations that must be performed in the calibration process, the Grid could offer both the storing and execution solutions. This paper presents the gSWAT system highlighting the architectural components and presenting some test cases to assess the system performances.

Grid based environment application development methodology

The satellite image oriented processing in the Grid based environment applications needs flexible tools, process description and execution in order to reveal significant information The main processing consists of imagery classification which is actually a search of information through combinations of multispectral bands of satellite data The Grid based application development process should assist the developer to implement required functionality, but making transparent to the user the Grid complexity and the mapping of the conceptual application over the physical Grid resources The paper exemplifies the gProcess based Grid application development methodology throughout the development phases of the GreenView environment application, and analyzes the efficiency of such an approach The primary aim of the GreenView application is the refinement of surface and vegetation parameters in SEE and CE regions based on satellite images The GreenView application is based on ESIP platform, which lies on the gProcess toolset specific satellite image processing operators and services.

Comparative parallel execution of SWAT hydrological model on multicore and grid architectures

The paper presents a comparative analysis made on the calibration of a large-scale model, executed both on grid and multicore architectures. The goal is to highlight the advantages brought by the grid infrastructure over the multicore architecture, especially for large-scale applications, which require large amounts of data and a large number of executions. The large-scale application used as a case study for this research work is the calibration of a large-scale SWAT hydrological model, covering the Danube River Basin.

Earth Observation application development based on the Grid oriented ESIP satellite image processing platform

Satellite images supply important information on earth surface, weather, clime, geographic areas, vegetation, and natural phenomena. Processing of satellite data requires high computation resources and flexible tools in order to search, discover, and reveal the main information, to experiment new algorithms, and to include them into new Earth Observation applications. This paper describes the features and the architectures of the ESIP and gProcess platforms, supporting the Grid based satellite imagery processing. The development methodology of Earth Observation applications is highlighted as well in order to hide the Grid complexity to the user.

Software Platform Interoperability Throughout EnviroGRIDS Portal

The Black Sea Catchment area is well known for subjects such as ecologically unsustainable development or inadequate resource management. The EnviroGRIDS project addresses these issues by using emerging information technologies. The enviroGRIDS Web Portal allows the users to access the geospatial functionality given by Web infrastructure, and to high power computation resources given by Grid infrastructure. The Black Sea Catchment Observation System portal provides a single point of access to the enviroGRIDS applications and tools. Both the vertical and horizontal interoperability are available between the platforms and applications throughout the portal. The horizontal interoperability is accomplished through services, meaning the applications are working together by the exposed services. The vertical interoperability is supported by the communication between the layers of end user applications, Web infrastructure, and Grid infrastructure. The basic solution of interoperability is accomplished by services, messages, and data. The paper highlights the solutions developed by the Black Sea Catchment Observation System portal to support various types of interoperability between the modules of geospatial data management, hydrological model calibration and running, satellite image processing, spatial data visualization, and virtual training center.

gSWAT Platform for Grid Based Hydrological Model Calibration and Execution

The assessment of the sustainability and vulnerability of a particular geographical region could be performed by simulating different scenarios based on environmental changes and water quality models. The gSWAT application allows the calibration of the SWAT models and the execution of different scenarios based on calibrated SWAT model over the Grid infrastructure. The requirements for running the SWAT models involves lots of input and output data, a high number of simulations that must be performed in the calibration process, recommend the Grid infrastructure for storing and execution SWAT models. This paper presents the gSWAT platform highlighting the architectural components and presenting some test cases to assess the system performances.

Geospatial and Grid Interoperability Through OGC Services Gridification

The paper focuses on and takes the shape of an approach meant to mediate the interaction between the Geospatial and the Grid infrastructures by introducing a new component referred to as Mediator. The component shall diminish the gap between the two infrastructures and create an interoperable communication. The solution thereinafter advanced aims at adapting the Geospatial services so as to follow different execution flows, either on the Web or on the Grid, by considering the input conditions and the running platforms as factors required to maximize the execution performances.

Grid Based Hydrologic Model Calibration and Execution

The continuous expansion of distributed hydrological models applied on different geographical regions in order to solve and predict water resource problems raised multiple issues related to the model calibration and execution processes. The calibration process was performed on SWAT (Soil and Water Assessment Tool) hydrological model that could be used to predict the impact of land management practices on water, sediment and agricultural chemical yields in complex watersheds. This paper presents methods, algorithms, data access issues and human-computer interaction techniques used in developing a Web application for the Grid based SWAT model execution and calibration, called gSWAT. The SWAT model calibration process is time consuming (e.g. in some situations its execution could reach hours or even days in length). The Grid is the platform that integrates the gSWAT application, due to its parallel and distributed characteristics, offering high computation and storage capabilities in response to the calibration process requirements.