Sistemas de Información Geográfica

EO4GEO is an Erasmus+ Sector Skills Alliance gathering 26 partners form 12 countries from academia, private and public sector active in the educational/training and space/geospatial sectors. EO4GEO aims to help bridging the skills gap between supply and services in end-user Applications. EO4GEO will work in an multi- and interdisciplinary way and apply innovative solutions for its education and training actions including: case based and collaborative learning scenarios; learning-while- doing in a living lab environment: on-the job training; the co-creation of knowledge, skills and competences, etc. EO4GEO will define a long-term and sustainable strategy to fill the gap between supply of and demand for space/geospatial education and training taking into account the current and expected technological and non-technological developments in the space/geospatial and related sectors (e.g. ICT). The strategy will be implemented by : creating and maintaining an ontology-based Body of Knowledge for the space/geospatial sector based on previous efforts; developing and integrating a dynamic collaborative platform with associated tools; designing and developing a series of curricula and a rich portfolio of training modules directly usable in the context of Copernicus and other relevant programmes and conducting a series if training actions for a selected set of scenario’s in three sub-sectors – integrated Applications, smart cities and climate change to test and validate the approach. Finally, a long-term Action Plan will be developed and endorser to roll-out and sustain the proposed solutions

GEOTEC will be in charge for the development of new innovative tools for the EO4GEO Platform leading WP3, and will be involved in the analysis of trends, challenges and opportunities under WP1 and in the definition and fine-tuning of an ontology-based approach (WP2). UJI will host a project meeting and a workshop connected to WP1. Moreover, it will contribute to capacity building and dissemination activities and will cooperate within the project Consortium in management and quality assurance and evaluation activities.

The mission of A-WEAR action is to cross-disciplinarily create new architectures, open-source software and frameworks for dynamic wearable ecosystems, with distributed localization and privacy constraints. We aim at building new joint/double European doctoral programmes to train a new generation of young researchers in order to be aware of, to cope with, and to disseminate to a large audience the vulnerabilities and the corresponding solutions of the communication and positioning through wearables. The impact of A-WEAR will be to enhance the future social well-being, to contribute to an easy living, effective and enjoyable work, and to offer new solutions to the challenges of violation of privacy by communication and positioning through wearables and to the need of applying the right of the ownership to one’s data.

GEOTEC contributes to several workpackages and leads WP3 “Social apps and crowdsensing”. This WP focuses on massive wearable data collected through crowdsensing approaches for the purpose of social and consumer applications, such as eHealth and public safety. We will focus here on both approaches by building several application-specific platforms: context-aware positioning, eHealth, and collaborative infrastructure-less localization solutions. Particularly, the cloud context-aware platform will be based on the UJI’s experience in open sensor platforms for the smart city context. UJI will host 3 ESR students. Their PhD topics for our students are ESR5: Cloud Platform for context-adaptive positioning and localization on wearable devices; ESR6: Collaborative techniques for infrastructure-less Indoor Positioning Systems; ESR7: Urban Mobility Observatory: balancing usefulness and privacy.

An Earth observation model-based rice information service

The ERMES project (EU-FP7) aims to develop pre-operational downstream services dedicated to rice farming systems based on the assimilation of Earth Observations (EO) products and in-situ data within crop yield modelling. ERMES exploits state-of-the-art of Geospatial Information Infrastructures (GII), also known as Spatial Data Infrastructures (SDI), and smart applications to acquire in-field information and deliver the service information to End-Users.

GEOTEC is leading WP3 Users’ requirements and services’ evaluation, in which coordinates activities with End-User in order to: i) identify their requirements for the design ERMES services at regional and local scale and ii) evaluate their satisfaction after the service demonstration GEOTEC is also leading WP7 Geo-services for information management: Integration and Communication (leader), which consists on i) To design an SDI to integrate existing registered web services for discovering, accessing, visualizing data and information including the new ERMES EO services, and for providing notification of alarms; ii) to build-up, on the basis of the designed SDI, the geo-portal interface; iii) to develop and integrate smart tools applications for the interaction and information exchange with end-users using participative and mobile technology.. The group has a deep involvement in WP4 Service design, WP8 Scientific and technical validation of product and services.

GEOTEC is one of three partners organising the Joint Doctorate “Geoinformatics: Enabling Open Cities (GEO-C)”, funded under the EU Marie Curie International Training Networks (ITN) program, European Joint Doctorates (EJD). GEO-C aims to contribute methods and tools to realise smart and open cities, in which all groups of society can participate on all levels and benefit in many ways. Complementary strands of research in GEO-C (participation, data analysis & fusion, services) will lead to an improved understanding of how to build open cities and will produce a prototypical open city toolkit. With a budget of over 3’5 million EURO, Geo-C provides 15 Phd students (5 in Spain, 5 in Portugal, 5 in Germany) the opportunity to do research and advance the state of the art in smart and open cities.

Trust4IoE will investigate the design and validation of a data-centric trust management system, capable of establishing reliable relationships between IoE elements in a decentralized, unalterable and transparent way.

The design will be based on three basic pillars:

Internet of Things, Machine Learning and Blockchain. To establish trust relationships between IoE elements, we define the Experience value by using Machine Learning techniques. This value will be obtained for each IoT device (static or dynamic) and geospatial area and will be based on the quality of the data and previous relationships between them.

The Fog Computing elements will be part of a blockchain network, to share the Experience value between IoE elements, in this way the system will increase in terms of scalability, security, transparency and /or traceability. Based on the concept of the Smart Contract, we present the Smart Geospatial Contract concept. This approach, using geometries, will be able to determine the validity of an interaction (contract) through compliance or not with certain conditions (inside, near, touching,…) and depending on the location (or area) of the device.