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.
XplorIT for Recovery
Status date: 30 July 2021
Due to the pandemic, Data Duopoly have pivoted to utilise their existing technology to help the recovery post-Covid. They can help aid social distancing on site by utilising satellite data and location data and this demonstration project will allow them to utilise this technology in 2-3 high profile venues and optimise this market opportunity before scaling to more venues.
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.
PLESS
Status date: 28 July 2021
Marine pollution in the form of plastics is a devastating problem that not only affects the whole planet ecosystem, but also represents a great socio-economic impact on human activities It is considering this ever increasing problem that there is an urge for new conceptual and technological solutions that can help to detect, monitor and mitigate the consequences of marine plastics pollution and, ultimately, contribute for the establishment of adequate policies that can contribute for its mitigation.
MOOD Decom
Status date: 28 July 2021
Feasibility study of digital services supporting decommissioning activities at sea through the provision of Earth Observation (EO)-enriched modelled MetOcean parameters relevant for operation planning and environmental impact monitoring.
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.
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.
MEO-Certif
Status date: 28 July 2021
MEO-Certif is a web mapping tool dedicated to organic farming players. Thanks to a panel of cartographic indicators, professionals can use the service during their decision-making process.
EMLM
Status date: 28 July 2021
EMLM investigates the technical feasibility and commercial viability of Earth observation satellites, HAPS and drone data to detect, monitor and model the movement of large accumulations of floating plastic litter as it travels from the source, along rivers and estuaries, and into the Oceans.
SMRC
Status date: 21 July 2021
SMRC intends to create a school map in rural communities with the help of satellite data, applying computer vision to earth observation data.
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.