Portfolio

Lyme Borreliosis (LB) is a rapidly growing health problem in the Highlands of Scotland.  Prevention is difficult because of the paucity of information about “hot spots”.  LymeApp integrates georeferenced disease data into spatial models using Earth Observation data alongside data from GP surgeries, and the Scottish National Lyme Borreliosis Testing Lab to produce an interactive risk map.

FATMAP’s app and 3D mapping technology helps people discover and navigate outdoor adventures all over the world. FATMAP ‘Live’ adds real-time data layers to the map including live satellite views, weather, webcams, local risks and conditions to make enjoying the outdoors easier and safer.

From portfolio or project analysis  down to single asset, Ai4Sendai  helps  key industries such as Energy, Oil And Gas, Insurance and banking, Real estate, Agriculture as well as  Public authorities and NGO  making the best informed decision  by providing a timely and accurate planetary intelligence for precisely locate their assets, identify their vulnerabilities to climate change and rate  risks to specific natural  hazard.

The WAMMO project, a continuation of Ascend XYZ’s AMMO project, aims to expand the service with ground radar data. Airports will be able to visualize bird activity and identify the associated areas of interest. Radar data and correlated EO data from multiple airports will be used to produce statistical models for airports not equipped with a radar and with similar habitats.

Ascend offers two distinct disruptive services that cover all types and sizes of airports, from the smallest to the largest ones. These services offer analysis of Earth Observation data for safety monitoring of the airport surroundings, and combine it with a cloud and browser based management system. Thereby the AMMO services are supporting the airport operators who are asked by the European Aviation Safety Agency (EASA) to comply with the regulation EU 139/2014 on aerodrome safety. 

The Satellite Navigation supported Shipment Visibility Platform (SAT SHV) for the Global Supply Chain Industry targets a platform to provide shipment visibility to players of International Supply Chains, in particular to larger Importers and Exporters as well as to Logistics Service Providers. Integration of Satellite Data AIS data of vessels as well as aircrafts is a key component of the designed solution. In addition, PLS embraces a holistic approach to cover multiple modes (sea, air, land) and is covering supply chains door to door.

The project brings solution for a systematic and automatic detection of sea ice (including the identification of ice and marginal ice zone) and oil slicks in the Arctic from Sentinel-1 images. Based on Machine Learning (Support Vector Machines), it permits to process automatically thousands of images with high accuracy.

Land mines and IEDs are a global problem that impact individuals, nations and the international community.

The MIDAS programme uses space services to improve efficiency, coordination, assurance, traceability, autonomy and safety of clearance operations; reducing casualties and returning land to productive use around the world.

The InsSAT project delivers a fully functional and operational system of automatic processing and analysis of satellite, meteorological and if needed also aerial data, focused on providing tools for assessment and settlement of insurance claims in the agricultural sector. The project is a CCN to the ASAP (“Advanced Sustainable Agriculture Production”) Demonstration Project that was completed in 2018.

ICT4Forest is an integrated dynamic forest monitoring and management service allowing a frequent, reliable and harmonized update of diversified forest and Earth observation data on a dedicated IT platform developed by Wuudis Solutions Oy (Finland). SPACEBEL (Belgium) will perform satellite image interpretation monitoring activities to be integrated into the Wuudis platform using Artificial Intelligence (AI), free Sentinel and other satellite data, as well as available open data. The innovative system facilitates the day-to-day business for silvicultural operations and forest resource monitoring, helping forest sector stakeholders to increase their income while reducing operational costs.

React 2 relies on satellite and emergency communications to deliver national and regional health bodies, to hospitals and first responders on the ground, a truly innovative pandemic response system. 

SunSafe aims to help people with sensitive skin better protect themselves using a sunlight tracker wearable.

SolumScire makes soil data more valuable and useful. This service is based on better referenced and new spatial soil data and combines this with plant performance information to get insights on soils and plant management as well as their important interactions. The data aggregation and use improves modelling for precision farming to increase yield and to lower emissions.

The SmartGrids feasibility study delivers the benefits of space based assets to energy network stakeholders. Technologies such as cloud computation and deep learning are coupled with multispectral satellite imagery, SAR, GNSS, and satellite communications to develop strongly scaling, novel, bespoke cost efficient services capable of supporting and enhancing existing operations. 

AlertSat is an earth observation change detection satellite constellation developed by the PandionAI corporation. The concept with on-orbit and autonomous image change detection, together with the instant delivery of information, gives end-users a tool to act efficiently in critical situations. AlertSat is designed with today’s challenges of rapid global changes in all areas, environment as well as business, in mind.

Monitoring and alert system for river bank.  MoMoRib^® uses a calculation programme based on the multi-methodological comparative analyses applied to geodetic, hydrological and soil-properties patterns, then links the information to the AI processed satellite datasets in the river zones prone to failure and/or where plastic and/or toxic waste can be concentrated.