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.
Fields of science
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesearth and related environmental sciencessoil sciencesland-based treatment
- natural sciencesbiological sciencesecologyecosystems
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Call for proposal
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