INVITE ALL SWIMMING POOL OWNERS IN YOUR (E-)SHOP 

We automatically detect swimming pool owners at wide scale thanks to our identification algorithms using satellite imagery. 

Take the opportunity to reach new clients with our direct marketing service.

Field-level seasonal weather predictions can empower growers to make better-informed decisions, reducing their food waste and greenhouse emissions. We have demonstrated a working pilot of a new seasonal forecast system that combines EC Copernicus model outputs with daily weather analytics to improve long-term rainfall predictability. Applications include summer planning for irrigation, cultivar selection and decisions about crop mixes to mitigate crops losses from drought, floods or climate-linked pathogens. UKSRI has identified British growers, producers and agronomists who could benefit from these services.

The services is a visual communications service for operational management. The service helps teams in the field assimilate information relevant for the local context. We aim to offer a communications platform which leverages Location Intelligence to provide the right information at the right time, and Augmented Reality to ease access and understanding of the information.

The GeoSHM Demo Project implements a pre-operational installation and demonstration across three of the longest bridges in the world. The primary purpose of the project is the integration of GNSS positioning and Earth Observation techniques to enable the Structural Health Monitoring (SHM) of long-span bridges. This project intends to bring the GeoSHM service to the global market incrementally. 

SISMA is a low-cost solution to monitor domestic and wild herds that includes regional analysis to help dependent populations and state agencies to manage animal safety and welfare and mitigate climate change. It combines IoT and satellite technologies to track the movement, activities and biometrics of the animals. It enables data sharing between herders, veterinaries, local – state authorities, scientists, consultants…

The objectives of this feasibility study are to assess the technical feasibility and commercial viability of an integrated solution and associated services which support the optimization of freight transport through ports (e.g. routing and scheduling), based on a better understanding of users and stakeholders needs and transport conditions, and better information exchange. 

Rezatec and the Eden Project will explore how geospatial data analytics could benefit individual growers or forest owners with small areas under management, by providing commercially valuable and actionable decision support tools accessed via a self-service, digital platform. In addition, these analytics could be provided as an operational service to other creative visual installations at museums and institutions around the world.

Vialone leverages Big Earth Observation Data to support European organic rice farming and trade. Copernicus data and tailored in-situ sensors keep rice paddy fields constantly monitored from both space and ground. Vialone unlocks best practices of organic paddy management and supplies early information on growth trends. Thanks to Vialone, the so-called mature consumer will be able to make healthy and informed choices based on reliable traceability information on top-tier organic rice. 

Precise Apiculture Supported by Space Technologies (acronym: PASST) is a mobile application that enables the implementation of precise apiaries management based on the latest satellite technologies and geolocation in connection with close cooperation with agricultural producers.

RailSAT intends to enhance the current practices of monitoring railway track geometry and the surrounding environment by using Earth observation satellite data, in particular Interferometric Synthetic Aperture Radar (InSAR), and satellite navigation. 

VtDaws is a service developed on a SaaS model. VtDaws includes in its features the access to EO data (especially Sentinel and Copernicus Services data), a change/anomalies detection engine based on machine learning techniques, a warning service transforming data into information to the users and community sourcing features to add in-situ data and share information on smartphones or tablets.

SnowSense aims at the qualitative, spatial and temporal improvement of available snow information (snow covered area, snow parameters). It integrates space and ground-based assets to achieve this target. The project has won the 2013 ESA IAP IntegSpace Award.

The ARCT^TM 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 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. 

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.