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PerceptiveSentinel SIGNED

Perceptive Sentinel – BIG DATA knowledge extraction and re-creation platform

Total Cost €

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EC-Contrib. €

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Partnership

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Project "PerceptiveSentinel" data sheet

The following table provides information about the project.

Coordinator
SINERGISE LABORATORIJ ZA GEOGRAFSKEINFORMACIJSKE SISTEME DOO 

Organization address
address: CVETKOVA ULICA 29
city: LJUBLJANA
postcode: 1000
website: www.sinergise.com

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 Slovenia [SI]
 Project website http://www.perceptivesentinel.eu/
 Total cost 1˙983˙187 €
 EC max contribution 1˙983˙187 € (100%)
 Programme 1. H2020-EU.2.1.6.3. (Enabling exploitation of space data)
2. H2020-EU.2.1.6.1.2. (Boost innovation between space and non-space sectors)
 Code Call H2020-EO-2017
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SINERGISE LABORATORIJ ZA GEOGRAFSKEINFORMACIJSKE SISTEME DOO SI (LJUBLJANA) coordinator 744˙875.00
2    GEOVILLE INFORMATIONSSYSTEME UND DATENVERARBEITUNG GMBH AT (INNSBRUCK) participant 444˙875.00
3    LANDBRUG & FODEVARER F.M.B.A. DK (KOBENHAVN V) participant 276˙937.00
4    INSTITUT JOZEF STEFAN SI (LJUBLJANA) participant 246˙875.00
5    MAGELLIUM SAS FR (RAMONVILLE SAINT AGNE) participant 179˙875.00
6    KMETIJSKI INSTITUT SLOVENIJE - AGRICULTURAL INSTITUTE OF SLOVENIA SI (LJUBLJANA) participant 89˙750.00

Map

 Project objective

PerceptiveSentinel project will deliver PerceptiveSentinel platform - an INTERMEDIATE EO service that will through seamless access to highly pre-processed DATA provide: - MODELLING and PUBLISHING capabilities for - DESIGN, EXPOSURE and EXPLOITATION of EO-processing chains for - FORECASTING, MONITORING and HISTORICAL ANALYSIS in different domain fields, based on - MULTI-TEMPORAL and MULTI-SPECTRAL EO-Data and Non-EO Data MODELLING.

PerceptiveSentinel platform will combine BIG-DATA SOURCES, (2) both spatial and non-spatial, (2) whether remote sensed, observed in-situ or derived (3) whether public, private or proprietary—onto a single system. The data will be transformed into action by applying STREAMING MACHINE LEARNING to UNLOCK its value.

Platform’s capabilities will significantly shorten development cycles, enabling rapid development of EO services, opening new opportunities for large-scale exploitation of data and provide the means for new EO “downstream players” to smoothly enter the market without the investment into their own storage and processing capabilities.

Commercialisation approach will be based on (1) FREE and OPEN access to services and data, (2) OPEN-VALUE-CHAIN approach, (3) LOW COST of services and on (4) DELIVERING VALUE TO END USERS. It is our intention that PerceptiveSentinel platform becomes FIRST value and benefit sharing EO platform in the world. We intent to expose an alternative business model building on COOPERATIVE VALUE CREATION and capture, including all aspects of EO value chain from data providing, product/service development, publishing and consuming. We believe in synergetic effects of cooperation, using PerceptiveSentinel platform to establish alliances with external partners, taking an open approach to participation and building joint commercial success on the delivery of new added value.

 Deliverables

List of deliverables.
EO-data collection Other 2019-11-20 15:05:52
Heterogeneous Data Pre-Processing for Stream Mining Other 2019-11-20 15:05:51
Data management plan Open Research Data Pilot 2019-11-20 15:05:52
Spatial and radiometric features Demonstrators, pilots, prototypes 2019-11-20 15:05:51
EO-QMiner: Stream Mining Models for Earth Observation Demonstrators, pilots, prototypes 2019-11-20 15:05:51

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

 Publications

year authors and title journal last update
List of publications.
2018 KENDA, Klemen, MLADENIĆ, Dunja
KENDA, Klemen, MLADENIĆ, Dunja. Autonomous sensor data cleaning in stream mining setting. Business systems research journal : international journal of the Society for Promotion of Business Information Technology (BIT), ISSN 1847-8344, 2018, vol. 9, no. 2, str. 69-79, doi: 10.2478/bsrj-2018-0020. [COBISS.SI-ID 31531815], [WoS do 10. 8. 2018: št. citatov (TC): 0, čistih citatov (CI): 0, Scopus do 8. 12. 2018: št. citatov (TC): 0, čistih citatov (CI): 0]
published pages: , ISSN: , DOI:
2019-11-20
2018 \"KOPRIVEC, Filip, ČERIN, Matej, KENDA, Klemen. Crop classification using PerceptiveSentinel. V: MLADENIĆ, Dunja (ur.), GROBELNIK, Marko (ur.). Odkrivanje znanja in podatkovna skladišča - SiKDD : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8. in 12. oktober 2018, Ljubljana, Slovenia : zvezek C = Data mining and data warehouses - SiKDD : proceedings of the 21st International Multiconference Information Society - IS 2018, October 8-12, 2018, [Ljubljana, Slovenia] : volume C, (Informacijska družba, ISSN 2630-371X). Ljubljana: Institut \"\"Jožef Stefan\"\". 2018, str. 37-40. https://is.ijs.si/archive/proceedings/2018/files/Zbornik%20-%20C.pdf. [COBISS.SI-ID 31887399]\"
Crop classification using PerceptiveSentinel
published pages: , ISSN: , DOI:
2019-11-20
2018 KENDA, Klemen, MLADENIĆ, Dunja. Autonomous sensor data cleaning in stream mining setting. Business systems research journal : international journal of the Society for Promotion of Business Information Technology (BIT), ISSN 1847-8344, 2018, vol. 9, no. 2, str. 69-79, doi: 10.2478/bsrj-2018-0020. [COBISS.SI-ID 31531815], [WoS do 10. 8. 2018: št. citatov (TC): 0, čistih citatov (CI): 0, Scopus do 8. 12. 2018: št. citatov (TC): 0, čistih citatov (CI): 0]
Autonomous sensor data cleaning in stream mining setting. Business systems research journal
published pages: , ISSN: 1847-8344, DOI:
international journal of the Society for Promotion of Business Information Technology 2019-11-20

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

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