Environment

jose.lorenzo's picture
Jose Lorenzo Mon
Geospatial technologies that support the development of distributed geo-spatial processes
Mission: 

The Environment Sector focuses on the design and implementation of information architectures, oriented towards the seamless geospatial data distribution and execution of distributed geospatial processes. The current research topics are related to the use of Earth Observation Data for wildlife monitoring; improving operational agriculture monitoring based on information derived from Copernicus satellite observation data; provision of modelling and analytics tools for Copernicus data; measure planning and decision support for climate change adaptation; geographic information for Open Data and Big Data; and driving innovation in Crisis Management.

Vision: 

Through the use of state-of-the-art technologies, the Environment Sector is working towards addressing current and potential challenges, related to:

  • Earth Observation and Security by extending this activity through the provision of inputs to the Copernicus and GEOSS initiatives.
  • Multiple Risk Management by extending the achievements reached in the FP6 project ORCHESTRA and FP7 project DEWS to multiple risks and emergency domains, such as the early warning for tsunamis, biodiversity, cultural heritage, agriculture, and many others.
  • Observation Web with associated environmental enablers for the Future Internet, leveraged by the work done in the Environmental Usage Area within the Future Internet PPP programme.
  • Be a reference partner for the Public Administration in the developments needed to adopt the INSPIRE directive.
Values: 

With the main goal of promoting the adoption of emerging geospatial technologies, and with a strong relationship with the Geospatial Information Research Line, that provides the technical and thematic knowledge in this domain, the Environment Sector looks for:

  • Integration of in-situ & EO observations from environmental sensors
  • Use of large array databases (i.e. Rasdaman) for the massive storage and analysis of raster-based information (e.g. satellite imagery)
  • Service Oriented Architecture (SOA) for accessing and processing geospatial information
  • Expertise on Open Geospatial Consortium (OGC) standards such as WMS, WFS, WPS, WCS, SWE…
  • Implementation of geographical independent decision support and alerting systems (e.g. for the prevention of disasters)

Projects

BONVOYAGE

Intermodal mobility solutions, interfaces and applications for people and goods
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H2020, MG

Design, development and testing of a platform optimizing multimodal door-to-door transport of passengers and goods, supported by an innovative communication network.

CANDELA

Copernicus Access Platform Intermediate Layers Small Scale Demonstrator
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H2020, SPACE

Creation of value from Copernicus data through the provisioning of modelling and analytics tools.

CLARITY

Integrated climate adaptation service tools for improving resilience measure efficiency
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H2020, CLIMATE

Exploiting/demonstrating the added value of climate services for climate-proofing of vulnerable urban and transport infrastructure.

DataBio

Data-Driven Bioeconomy
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H2020, BIG DATA PPP

Big Data PPP Large Scale Pilot focusing on the production of best possible raw materials from agriculture, forestry and fishery/aquaculture.

EO4AGRI

Bringing together the Knowledge for Better Agriculture Monitoring
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H2020, SPACE

Its main objective is to catalyse the evolution of the European capacity for improving operational agriculture monitoring, based on information from Copernicus satellite data, and through the exploitation of associated geospatial services.

EO4wildlife

Platform for wildlife monitoring integrating Copernicus and ARGOS data
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H2020, SPACE

Service platform and Toolbox for European Sentinel Copernicus Earth Observation data use for biologists, ecologists, scientists and ornithologists.

EUXDAT

European e-Infrastructure for extreme data analytics in sustainable development
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H2020, EINFRA

Enabling users to fully benefit from underlying High Processing capacities to explore new methods, build new innovative services, and to perform predictions and simulations with extremely large and heterogeneous datasets.

SMART GROUND

Smart data collection to enhance availability and accessibility of data on secondary raw materials
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H2020, WASTE

Fostering of resource recovery in landfills by improving the availability and accessibility of data and information on Secondary Raw Materials (SRM) in the EU.