Reducing the risk of bird strikes using satellite images and Ascend’s Normalised Difference Water index software (...
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.
Project TAPIO
Status date: 17 April 2019
Project TAPIO enhances Point4’s RiMiT® vegetation risk management solution with data derived from a variety of Earth observation (EO), position, navigation & timing (PNT) and satellite communication (SATCOM) platforms. This project reduces operator cost and risk exposure by improving the quality and quantity of inputs to the RiMiT® solution.
Hawking
Status date: 12 April 2019
Hawking is a machine learning based solution for commercial growers analysing satellite imagery for better management of their crops.
ARCT.esa
Status date: 12 April 2019
The ARCTTM stakeholder mapping tool offers visualization of “Project Health” in the cross-roads between society, environment, business and policy. The unique de-risking tool combines climate change risks with other factors and makes them relevant, simple and visual for owner and decision makers of any infrastructure project.ARCT has also found a fun and engaging way to score and report on the UN Sustainability Goal Climate Action goal #13. www.arct.tools.
ALBA-TROSS
Status date: 10 April 2019
Alba Orbital is working to develop satellite applications which utilize each aircraft’s unique ‘Automatic Dependent Surveillance-Broadcast’ (ADS-B) signature. ADS-B signals contain data on flight path, and flight weather conditions, and can be used to enhance global weather forecasts, verify aircraft carbon emissions, and aid in Mayday scenarios, especially when fused with other satellite and ground based data-sets.
Tesselo
Status date: 10 April 2019
Our mission is to help organizations manage their natural resources more efficiently and sustainably. To achieve this goal, we augment satellite imagery with Artificial Intelligence and environmental expert knowledge to deliver actionable business insight to our customers.Planet B is too far away – let’s take care of Planet A.
Greenhouse Early Warning Service
Status date: 09 April 2019
Greenhouse owners are in a very competitive market, in which unexpected costs due to damage and decay of the greenhouse assets can cause severe problems. This feasibility study aims to provide insights into how an early warning service using space data can help greenhouse owners to prevent or mitigate non-insurable risks threatening their business.
ARC-REACH
Status date: 08 April 2019
A number of countries are making preparations to turn the rapidly warming Arctic into a busy global shipping route.The objective of the ARC-REACH project is to validate the need and feasibility to setup a cost-effective low-power long-range dynamic radio network, tailored for tracking of cargo and maritime activity, complemented with remote sensing of the environment.
PLIMM
Status date: 05 April 2019
The PLIMM services developed within the project provide users with unique information on the performance of their assets. Using a set of proprietary workflows and algorithms on processed InSAR data the system is able to identify critical insights within the millions of individual measurement points. Developed in close collaboration with the user community, the system provides earth observation outputs in a format that is most appropriate for the target sectors.
MIDAS
Status date: 02 April 2019
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.
SSFIS
Status date: 02 April 2019
Smallholders are underserved by credit providers as lenders are unable to assess their risk. Sensonomic’s system uses predictive and prescriptive simulations to assess system effects of credit deployment and open the market. With its dynamic data consumption, and iterative and reactive simulations, the service provides a continually updated prediction of how robust the credit providers portfolio is.