Explore the words cloud of the EOXPOSURE project. It provides you a very rough idea of what is the project "EOXPOSURE" about.
The following table provides information about the project.
Coordinator |
UNIVERSITA DEGLI STUDI DI PAVIA
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
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 |
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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.