CORDIS - Forschungsergebnisse der EU
CORDIS

Restarting the Economy in Support of Environment, through Technology

Leistungen

Report on data and information needs for GI investment

Report on data and information needs for green investment policy support ICA AT

Report: blueprint for green investment PSS

Blueprint for a Green Investment Policy Support System levering technology in support of sustainable development planning at the European scale RIKSKCL

Report on scientific integration of ReSET models

Blueprint for a scientific and technical integration of models for ReSET RIKSKCL

Review paper of tools and methods submitted

A review of tools and methods for understanding the impacts of urban and agricultural development on multiple environmental risks as experienced by European populations ICA IRSA AT KCL RIKS GEO

Mid-project strategy for project exploitation

This will revise and update our initial strategy based on project progress

Contribution to Summer School v1

Training programme focused on dissemination results from ReSET RIKS KCL ICA

Management guidelines

Will provide general rules and recommendations related to the project management not covered by the Consortium Agreement KCL ICA

First periodic report

Will provide an assessment of the progress for the First Project Review ICAALL

Conceptual and integration roadmap

Will provide a review of the key theoretical concepts to be further developed and a roadmap of the hardware and software development activities RIKS KCL ALL

Environmental Intelligence Collaboration Plan

This will be a joint effort across all the projects funded under this call to create a plan for how the various projects will work together The deliverable will be reviewed when needed and updated accordingly

User documentation for ReSET PSS

User documentation for prototype ReSET policy support system KCL RIKS AT

Exploitation Plan

This will outline our initial plans to exploit the technological and knowledge advancements made by this project ALL

Policy paper information needs

Information needs for environmentally socially and economically sustainable recovery investment for Europe ICA IRSAAT KCL RIKS GEO

Interim progress report

Will provide an assessment of the progress of the project in its 9 months for the EU KCL ALL

Publication of FreeStationAPI

Publication of updated open access FreeStation API at wwwfreestation.org connecting ReSET with FreeStation [AT, KCL]

Blueprint v1

This will represent contribution to an inter-project first iteration blueprint of lessons learned towards a fully fledged environmental intelligence system [KCL, RIKS]

Website: EduStation Madrid

Website EduStation Lowcost urban area environment monitoring via Schools Madrid AT ICA

Online instructions Freestation.org

Build instructions online at wwwfreestationorg for water pollution turbidity electrical conductivity temperature thermal extreme temperature humidity heat index wind chill noise and air pollution particulates freestations AT

Website: EduStation London

Website EduStation Lowcost urban area environment monitoring via Schools London KCL AT

Interim EduStation online training programme

Edustation online training materials developed

Data Management Plan v2

This is an updated version of the original data plan 18 RIKS KCL

Data Management Plan

ReSET will deliver a Data Management Plan in line with the requirements of the Open Research Data Pilot in Horizon 2020This plan will outline the data processing procedures RIKSKCL

Veröffentlichungen

Environmental intelligence for more sustainable infrastructure investment

Autoren: Mulligan M. ,Douglas C,Van Soesbergen A.,Shi M., Burke S., Van Delden H.,Giordano R. R.,Lopez-Gunn E.,Scrieciu A.
Veröffentlicht in: GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good, Ausgabe 1st Conference on Information Technology for Social Good, GoodIT 2021, 2021, Seite(n) Pages 225 - 229, ISBN 9781450384780
Herausgeber: Association for Computing Machinery, Inc
DOI: 10.1145/3462203.3475916

Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies

Autoren: Arnout Van Soesbergen; Zedong Chu; Miaojing Shi; Mark Mulligan
Veröffentlicht in: IEEE Transactions on Geoscience and Remote Sensing, Ausgabe Ausgabe 60, 4 May 2022, 2022, ISSN 1558-0644
Herausgeber: IEEE
DOI: 10.1109/tgrs.2022.3172883

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