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EOXPOSURE SIGNED

TOOLS FOR MAPPING HUMAN EXPOSURE TO RISKY ENVIRONMENTAL CONDITIONS BY MEANS OF GROUND AND EARTH OBSERVATION DATA

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "EOXPOSURE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI PAVIA 

Organization address
address: STRADA NUOVA 65
city: PAVIA
postcode: 27100
website: www.unipv.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://www.h2020-eoxposure.eu/
 Total cost 324˙000 €
 EC max contribution 270˙000 € (83%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2016
 Funding Scheme MSCA-RISE
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI PAVIA IT (PAVIA) coordinator 67˙500.00
2    ECOLE ROYALE MILITAIRE - KONINKLIJKE MILITAIRE SCHOOL BE (BRUXELLES) participant 121˙500.00
3    UNIVERSIDAD DE EXTREMADURA ES (BADAJOZ) participant 81˙000.00
4    UNIVERSIDAD NACIONAL DE CORDOBA AR (CORDOBA) partner 0.00
5    UNIVERSIDADE FEDERAL DE ALAGOAS BR (MACEIO ALAGOAS) partner 0.00

Map

 Project objective

The goal of the EOxposure project is to build tools to quantify the exposure of population and economic assets to multiple risks using novel information layers from current and future Earth Observation (EO) missions, as well as the growing sensor web on the ground. The project exploits the novel concept of the human EXPOSOME, i.e. the set of exposures to which an individual is subjected through its own existence. It includes the entire history of interactions with the environment, including air and water quality, food and exercises, as well as living habits and diseases that may spread. The cutting-edge fusion of this concept with EO and sensor data aims at measuring the human exposure to threats that are external to each individual, and quantify the interactions between human beings and the environment. By building geospatial information tools upon data coming from multiple sources, at different spatial and temporal scales, the EOxposure project aims at providing free public services, enabling citizens to understand the threats to which they are exposed, and decision makers to take more informed and effective actions against them. Specifically, EOxposure will focus on threats connected to housing conditions, disease spread, as well as security and health issues in urban and peri-urban areas, where population is concentrated. The new tools will build upon the consortium expertize on nutrition- and vector-borne disease models, urban heat monitoring and material characterization, satellite data processing, and geospatial data fusion, realizing interdisciplinary working groups dedicated to the above mentioned applications. To do so, EOxposure enrolls institutions from Europe and South America, merging expertises on exposure to risk in both developed and developing countries.

 Deliverables

List of deliverables.
DISESP tool alpha release Other 2020-01-30 18:35:52
HOCOM tool alpha release Other 2020-01-30 18:35:52
PHYMAP tool beta release Other 2020-01-30 18:35:52
Common Data Gateway platform release Other 2020-01-30 18:35:52
HOCOM tool beta release Other 2020-01-30 18:35:52
DISESP tool beta release Other 2020-01-30 18:35:52
PHYMAP tool alpha release Other 2020-01-30 18:35:52
Project-related profiles in professional and social networks Websites, patent fillings, videos etc. 2020-01-30 18:35:52
Project website Websites, patent fillings, videos etc. 2020-01-30 18:35:52

Take a look to the deliverables list in detail:  detailed list of EOXPOSURE deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Haut Hurtado, Juan Mario Universidad de Extremadura
NUEVAS TÉCNICAS PARA EL PROCESAMIENTO MASIVO DE DATOS DE OBSERVACIÓN REMOTA DE LA TIERRA
published pages: , ISSN: , DOI:
2020-03-05
2019 Ruben Fernandez-Beltran, Filiberto Pla, Antonio Plaza
Sentinel-2 and Sentinel-3 Intersensor Vegetation Estimation via Constrained Topic Modeling
published pages: 1-5, ISSN: 1545-598X, DOI: 10.1109/lgrs.2019.2903231
IEEE Geoscience and Remote Sensing Letters 2020-01-30
2019 Juan Mario Haut, Mercedes E. Paoletti, Javier Plaza, Antonio Plaza, Jun Li
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
published pages: 1-5, ISSN: 1545-598X, DOI: 10.1109/lgrs.2019.2909495
IEEE Geoscience and Remote Sensing Letters 2020-01-30
2019 Juan Mario Haut, Ruben Fernandez-Beltran, Mercedes E. Paoletti, Javier Plaza, Antonio Plaza
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
published pages: 1-13, ISSN: 0196-2892, DOI: 10.1109/tgrs.2019.2924818
IEEE Transactions on Geoscience and Remote Sensing 2020-01-30
2019 Juan Mario Haut, Mercedes E. Paoletti, Javier Plaza, Antonio Plaza, Jun Li
Visual Attention-Driven Hyperspectral Image Classification
published pages: 1-16, ISSN: 0196-2892, DOI: 10.1109/tgrs.2019.2918080
IEEE Transactions on Geoscience and Remote Sensing 2020-01-30
2019 Ruben Fernandez-Beltran, Filiberto Pla, Antonio Plaza
Intersensor Remote Sensing Image Registration Using Multispectral Semantic Embeddings
published pages: 1-5, ISSN: 1545-598X, DOI: 10.1109/lgrs.2019.2904874
IEEE Geoscience and Remote Sensing Letters 2020-01-30
2019 Juan Mario Haut, Jose Antonio Gallardo, Mercedes E. Paoletti, Gabriele Cavallaro, Javier Plaza, Antonio Plaza, Morris Riedel
Cloud Deep Networks for Hyperspectral Image Analysis
published pages: 1-17, ISSN: 0196-2892, DOI: 10.1109/tgrs.2019.2929731
IEEE Transactions on Geoscience and Remote Sensing 2020-01-30
2018 Oladimeji Mudele, Chiemeka Nsofor, Fabio Dell\'Acqua
Investigation into Academic Remote Sensing Education Across the Globe: The Case of Nigeria [Education]
published pages: 98-104, ISSN: 2168-6831, DOI: 10.1109/mgrs.2018.2872173
IEEE Geoscience and Remote Sensing Magazine 6/4 2020-01-30

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The information about "EOXPOSURE" are provided by the European Opendata Portal: CORDIS opendata.

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