Reducing the risk of bird strikes using satellite images and Ascend’s Normalised Difference Water index software (NDWI)
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.
RAPSODY
Status date: 19 November 2018
RAPSODY, a project led by TEKEVER, will demonstrate the use of remotely piloted aerial systems (RPAS) in a wide area maritime context, through the execution of search & rescue and pollution monitoring missions. The missions will be executed in near-real scenarios over the Atlantic Ocean. The Satcom-enabled RPAS will be fully prepared and customized to perform these maritime missions, including the integration of specific payloads and the usage of specially tailored mission-oriented data fusion, data compression and automatic feature recognition and identification algorithms.
WAMCam
Status date: 03 June 2019
Developed by Archangel Imaging, WAMCam is an innovative solution integrating satellite communication and machine learning technologies to radically improve wildlife monitoring and population studies. Researchers and conservationists working in remote regions can deploy AI-enabled cameras to remotely monitor animal traps and study areas. Receiving prompt notifications of the wildlife identified by the cameras revolutionizes the effectiveness of conservation studies.
SNAPPED
Status date: 25 August 2021
This project is a technical, economic and commercial feasibility assessment into an adaptive Load Reduction Device (LRD) for Floating Offshore Wind (FLOW) mooring systems that can significantly reduce Levelized Cost of Energy (LCOE).
Green Buildings Services - Optimising Vacant Land
Status date: 23 August 2021
The growing urban population and the impacts of climate change are putting increasing pressure on cities.
Vacant, underutilised and brownfield land provide an opportunity to create transformative interventions that contribute to addressing urban challenges and enhance the resilience of cities.
Green Buildings Services - Biodiversity Net Gain
Status date: 23 August 2021
The Biodiversity Net Gain service aims to develop a rapid, accurate and efficient approach to the mapping of biodiversity baselines and biodiversity change for Biodiversity Net Gain, facilitated by remote sensing technology.
FAST
Status date: 13 August 2021
The FAST study has the objective to identify and preliminary define new or enhanced applications, leveraging satellite communications capabilities, for the public safety sector with a focus on the three main verticals: Law Enforcement, Fire Brigades and Emergency Services.
GEO
Status date: 11 July 2021
The MIS Global Events Observer (GEO) applies accurate, real time intelligence of space-based and ground sensor data to teams working across the insurance cycle. GEO offers unique opportunities for businesses to make informed decisions when selecting, pricing, monitoring, mitigating and assessing risks, and seeks to drive technology into traditional workflows to enhance policyholder service and deliver cost savings and time efficiencies.
Beeline
Status date: 27 July 2021
The Beeline Cycle Routing project involves creating a routing engine and underlying mapping data to mimic human intelligence in route selection for cyclists. Traditional routing engines simply optimize for shortest distance or time. Beeline’s solution is intended to allow for optimization for safety, pleasantness, quietness of route and other parameters important to cyclists.
GWSS
Status date: 30 July 2021
With rapidly growing wildfire disasters in Europe and worldwide, we see an increasing need for new technologies and applications to better monitor these fires. OroraTech is developing an innovative all-in-one global wildfire detection, alerting and monitoring service from space.
Pre-Loc
Status date: 13 July 2021
Loss of water through damaged pipes is one of the biggest problems in the global distribution of drinking water. To make leak detection easier, we sell our customers a T.O.M.-System for use by own specialist staff or offer a qualified service for leak detection through Turn-off metering. Necessary information about the pipe network is documented in an online portal.
CMM
Status date: 28 July 2021
Crop Mycotoxin Management (CMM) offers a service for an efficient management of mycotoxin contamination in wheat production. Satellite-based earth-observation data are derived to crop information and combined with terrestrial data sources to assess the infield disease risk during vegetative growth and the risk of mycotoxin accumulation at harvest. Such information support farmers in site-specific scouting activities, variable-rate applications of fungicides and selective harvesting to exclude mycotoxin contaminated grains. Furthermore, the service provides information on the regional yield in terms of quality level of wheat.
ZPR
Status date: 08 February 2021
The aim of the project is to give MPAs (Marine Protected Areas), National Research Institutes, NGO and as well as marine operators access to advanced technologies as artificial intelligence (AI), robotics and space technologies, that could help, favourite and accelerate marine conservation.
Specifically, the project will allow the data mining of coastal marine habitats through embedded AI on satNav localized underwater explorer-class drones and surface vessels whose autonomous survey are optimized by cloud AI and Earth Observations (EO), creating web dashboards for MPAs to access all the marine habitats data, trends and alerts, and share them all within their community.
SmartCane
Status date: 28 July 2021
SmartCane provides agronomic and management information derived from remote sensing to commercial sugarcane producing companies and affiliated farmer organisations– “outgrowers”. The objective of the service is to provide timely information via SMS, with which farmers and commercial sugarcane producing companies can make better decisions, which result in increased production and income per hectare and reduced use of resources.
FB Eye
Status date: 13 July 2021
FB Eye – acronym of Fire-Bombing Eye – is a commercial initiative to improve the firefighting operations using innovative space-based and ground-based technologies.
FB Eye is an innovative platform-as-a-service commercial provision of integrated satellite/airborne Comms/Nav support to the precision water bombing of large wildfires.
FB Eye will provide to waterbomber’s pilot a near real time information map with precise geographical location of most radiating fire hotspots, being the most effective release target to extinguish rapidly the fire.
SEDDCR
Status date: 18 February 2021
In the SEDDCR project, space-enabled delivery drones were used to assist the National Health Service (NHS) in rural Scotland in the fight against COVID-19. The delivery drones carried critical COVID-19 pathology tests and related medicine between hospitals and medical practices, ensuring that the NHS had access to a fast, frequent and reliable medical logistics system.
PREMUSOS
Status date: 20 July 2021
PREMUSOS uses GNSS and EO imagery in order to identify the best locations in which to place environmental sensors that detect phenomena such as flooding, to accurately place those sensors as they are installed; and to use current EO data to enhance maintenance procedures.
WaterInfo
Status date: 12 July 2018
Providing continuous updates on hydro reservoir filling levels by means of Earth Observation data & machine learning to improve power price forecasting, production planning and market analysis and energy trading.
Foresense SEIA
Status date: 21 July 2021
SEIA is a solution supporting distribution network operators to perform faster, safer, more accurate and ecologically friendly asset monitoring and assessments. Our algorithm leverages state-of-the-art technological advances in machine learning to automate the monotonous and repetitive aspects of condition estimation of energy transmission network towers. This allows cost-effective funding decisions based on automated analysis of assets’ condition in aerial photography.