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PROJECT SHOWCASES

LATEST PROJECTS

 

BROWSE PROJECTS

Based on user needs and industry skills, the evolution of customized solutions and the establishment of innovative services is accomplished through project activities. Focusing on various thematic areas, relevant information on the project activities is provided below.

Shrub Mapping

Status date: 07 April 2020

The Shrub Mapping service is intended to detect shrub management needs in young boreal forest areas. Based on Terramonitor’s Earth observation and multi-source data, the cloud service maps large forest areas, analyses and monitors the shrub situation in conifer forests and generates insights about the need for forest management duties anywhere in the world.  

Diagnostic ECG garment

Status date: 07 April 2020

KYMIRA is developing smart wearable garments that interact with the human body to change, improve and one day save the wearers’ lives. This project built on a previously developed cardiac monitoring prototype garment, investigating its ability to identify developing cardiovascular conditions and detect the onset of acute cardiac events through machine learning software.

ASMSpotter

Status date: 06 April 2020

With ASMSpotter, local authorities get regular, automatic updates of artisanal mining activity in their area of interest. The service is powered by Machine Learning so that large areas can be monitored at no extra effort.

GIP4 Smart Airports

Status date: 06 April 2020

Fourteen million flights are expected in 2035 in Europe. To increase airport capacity and efficiency, optimisation at every step must be carried on. GIP4SmartAirports projects aims at minimizing rotation time and smoothing real-time operations. Space technologies can be a valuable asset to support surveillance and safety, and help airport manager to maintain high quality and complete knowledge of their assets.

ENTEL

Status date: 06 April 2020

The ENTEL project enables the development of an innovative service that combines information derived from satellites (Earth Observation and Meteorology) with various other information (relating to the electricity grid, the electricity supply and socio-economic elements) to improve the effectiveness of DSOs’ enforcement action against the electricity Non-TEchnical Losses (NTL).

EuroSim CBRN

Status date: 06 April 2020

The EuroSIM CBRN Project is focused on the launch of the UrbanAware Incident Modelling Platform to provide lifesaving CBRN / HazMat situational awareness and decision support.

SyriUS

Status date: 04 April 2020

SyriUS is developing innovative data services for bathymetric mapping, benthic mapping, seafloor characterization, habitat mapping, and environmental monitoring. Current end users experience a lack of such data availability. For example, bathymetric maps are often outdated and not available for very shallow waters. SyriUS proposes three innovative data services that combine proven earth observation (EO) technology from EOMAP GmbH & Co.  KG with unmanned maritime systems (UMS) solutions from Maritime Robotics AS. Data products created via the SyriUS services provide larger area coverage than can be obtained using only UMS, and with greater accuracy than can be obtained using only EO solutions.

VisionV

Status date: 01 April 2020

VisionV integrates a combination of data provided by the end-user (spatial and non-spatial) and data derived from space-borne assets (VHR optical, elevation, structural health) to create new AR/VR visualisation capabilities in the context of:Situational awareness for Critical National Infrastructure (CNI) asset managementSearch & Rescue

Space Science as a Service

Status date: 31 March 2020

The “Space science as a Service” feasibility study aims to validate the viability of a new model to deliver space science satellites through a commercial delivery and implementation plan.

EnviNavigator

Status date: 31 March 2020

EnviNavigator is a customer-tailored EO-based analysis services supported by mobile applications targeted for forestry and insurance businesses. The services offer easy access to most up-to-date forest data by utilizing EO-based change detection with machine learning methods for assessment of storm damages, climate-change-driven risks and predicting carbon balance development.