Explore the words cloud of the PerceptiveSentinel project. It provides you a very rough idea of what is the project "PerceptiveSentinel" about.
The following table provides information about the project.
Coordinator |
SINERGISE LABORATORIJ ZA GEOGRAFSKEINFORMACIJSKE SISTEME DOO
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
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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 |
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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: Å¡t. citatov (TC): 0, Äistih citatov (CI): 0, Scopus do 8. 12. 2018: Å¡t. citatov (TC): 0, Äistih citatov (CI): 0] published pages: , ISSN: , DOI: |
2019-11-20 | |
2018 |
\"KOPRIVEC, Filip, ÄŒERIN, Matej, KENDA, Klemen. Crop classification using PerceptiveSentinel. V: MLADENIĆ, Dunja (ur.), GROBELNIK, Marko (ur.). Odkrivanje znanja in podatkovna skladiÅ¡Äa - 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: Å¡t. citatov (TC): 0, Äistih citatov (CI): 0, Scopus do 8. 12. 2018: Å¡t. citatov (TC): 0, Äistih 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.