A Spatio-Temporal Environmental Management Information System based on Neural-Networks, Agents and Software Components.​

This project includes and develops some multi-disciplinary applied research (such as software engineering, knowledge and artificial intelligent engineering and ecology) for the modelling of an intelligent information system of environmental management. On the one hand, this project aims to study the automatic generation of ecological maps from satellite images.

The automatic obtaining of these maps may be useful for critical actions of environmental management such as prediction/prevention and taking decision tasks in natural disasters (i.e. floods, forest fires or earthquakes). Due to the diversity of final users (i.e. politicians, technicians, administrators, etc.) and because of the large amount of different information (some confidential criticism), it is important to have real scientific-technical proposals and practices for the construction of quick and efficient data exploitation systems (environmental, in this example).

These proposals and practices allow the human-machine interaction by means of dynamic user interfaces that adapt to the users habits and by some intelligent software advisers (agents) that help the users in the process of data exploitation. They also allow the taking decisions tasks (environmental) and the prediction/prevention tasks (which are the most important). The information system will be defined through the paradigm of Computer Supported Cooperative Work (CSCW) and implemented with intelligent agents technology and multi-agent architecture. In order to allow the process of data exploitation, we will identify and structure the kind of information that could be queried and the types of queries, using techniques of hierarchical decomposition (trees, branch and bound) and neural-networks. For the integration of all techniques adopted and developed during the project, we will study the evaluation, interoperability, adaptability, and proofs (individual and collective), and the assembly of them by using software development techniques based on COTS components. Finally, we will implement a prototype of the system.

Publications​

Groups​

Applied Computing Group (TIC-211)​

The Applied Computing Group (TIC-211) is a PAI research group of the Junta de Andalucia (Spain) that uses IT & CS tools, methods, frameworks and standards to improve the application issues of R&D projects and developing novel research issues from the experience and application.

Environmental and Computers Group (TEP-234)​

The Environmenal and Computers Group (TEP-234) is a PAI research group of the Junta de Andalucia (Spain) that uses IT & CS tools and the collaboration of developers and researchers that aims to produce software, systems, publications, and services that are beneficial to the ecological and environmental sciences.

Events​

The Dynamic Response of Terrestrial Vegetation to Climate Variability Seen Through Time Series Analysis of Satellite Data. Massimo Menenti, Jornada de Seguimiento y Transferencia SOLERES, Almeria 2010

SOLERES - A Spatio-Temporal Environmental Management Information System based on Neural-Networks, Agents and Software Components. Luis Iribarne, Jornada de Seguimiento TIN, Madrid, 5 March 2010.

JTIS2011 - 3das Jornadas de Seguimiento y Transferencia de Investigacion SOLERES

JTIS2010 - 2das Jornadas de Seguimiento y Transferencia de Investigacion SOLERES

JTIS2008 - 1ras Jornadas de Seguimiento y Transferencia de Investigacion SOLERES

JATIMA2006 - Jornadas de Aplicación de las Tecnologias de la Informacion al Medio Ambiente