SEED
SEED is an energy generation forecasting service for solar plants in India. The solution uses satEO data, in-situ date from solar farms, and deep-learning AI-based forecasting technologies to improve forecasts, operations and maintenance.
SEED is an energy generation forecasting service for solar plants in India. The solution uses satEO data, in-situ date from solar farms, and deep-learning AI-based forecasting technologies to improve forecasts, operations and maintenance.
Based mainly on satellite observation data, the Space Bird Watch Service (SBWS) is a web-based service to support the Regional Directorates for Environmental Protection in Poland with the necessary data acquisition, data processing, analysis, interactive maps and reporting tools to efficiently monitor, protect and conserve bird habitats within Natura2000 protection areas.
The SatSource service enables financial institutions to engage with (potential) portfolio companies to push for environmental risk mitigation measures. The environmental risks are identified and closely monitored in near real-time with satellite imagery. The following risks are identified in the company based risk report: deforestation risk (looking at forest loss, transparency, certification), fire risk, and biodiversity risk (to be developed).
Sat-PDT demo project aims to develop a tele-medicine application, based on the exploitation of the satellite-based data. This enables the treatment of the Actinic Keratosis (AK) through the daylight Photodynamic Therapy. The system calculates the daylight irradiance, on the bases of the EO data, to provide planning, forecasting and monitoring capability of the medical daylight dosimetry.
The project aims at developing and piloting three main services: Vegetation Management, Infrastructure Risk Detection and Disaster Management. All electric network owners need to make sure that vegetation is managed on the network right-of-way. The automatic Vegetation Management Service improves Vegetation management efficiency and quality. New roads, building sites, and unauthorised structures (buildings, constructions, wood heaps) near or under electricity networks may cause hazards and potential risks to the network.
SatADAPT is a Predictive Maintenance (PDMA) system that uses distributed Artificial Intelligence (AI) to predict potential failures of industrial equipment. Its versatility allows the use in several industries, such as wind power, manufacturing and oil and gas. The value that SatADAPT brings to users consists in the increased uptime of the machinery, due to the reduction of the number of failures and the avoidance of unplanned down time due to unexpected equipment failure.
SARSentry provides an automated near real time (NRT) forest monitoring system producing forest change maps applicable across landscapes, informing on both forest loss and forest degradation. The service focuses on the Brazilian state of Para tackling illegal logging intensity in the Amazon but is offered to all national and sub-national governments and companies that want to assess, monitor and report forest use, degradation and conversion.
The objective is to design, implement, test and validate a dedicated Alert System (AS) for the monitoring of the public green, in particular those located inside areas of relevant historical and cultural sites. The proposed service monitors the health of vegetation by indirect estimation of bio-physical parameters using Sentinel-2; Landsat-8 and PRISMA satellite images, fused with high resolution satellite and/or UAV images. Additionally, the service monitors in real-time trees stability leveraging on a network of in situ sensors.
The goal of the Ranglo project is to deliver a data integration and predictive analytics service for rail freight in the UK based on near real-time tracking of railcars. The software platform connects to existing internal & external data sources to allow for data exchange and integration between the different rail freight stakeholders. The tracking is performed by a Satellite-IoT and multi-constellation GNSS device that is installed directly into railcars and can be connected to multiple sensors depending on the role of the railcar.
The Lunar project is aimed at realising a dynamic door-to-door commute service able to provide better access to hospitals for employees who are often working shifts at odd times of the day when public transport is limited/unavailable. The managed commute service can contribute to significantly reduce the pressure on car parking facilities of the hospital. Satellite Navigation technologies are used to achieve an understanding of the current location of vehicles and optimise the service because of accurate, real-time location information and routing data.