Being able to extract insight from data is not enough to be useable by customers to solve their problems. Needed alongside clever algorithms is the ability to develop robust, secure and useable solutions which, for example, integrate with customer systems, or provide stand-alone systems which can be used by end users.

We have a balanced team of data scientists and software developers putting us in a unique position where we can deliver creative algorithmic solutions in robust software solutions. By implementing algorithms to our exacting standards so that they can be deployed in production systems, we can deliver routine, robust insights wherever they are needed.

Approach

With extensive knowledge of cloud infrastructure, we can deliver high-availability software platforms to support user requirements. These platforms adhere to the latest standards in software development and security. We follow an agile development approach working closely with customers to iteratively develop solutions which meet their needs, building upon the solution with each iteration.

Since we focus on generating data-driven insight, our solutions automatically ingest data, applying data preparation and processing algorithms, and fusing data sources where needed, to produce insight. The resulting outputs can be delivered to intuitive user interfaces or through APIs to existing customer systems.

Our flagship Fusion Platform® product provides a working example of our approach to taking clever algorithms and making them robust and useable. The Fusion Platform® provides Algorithms-as-a-Service (AaaS) by deploying our own and third-party algorithms in a platform which securely executes the processing required to deliver insight.

Case Studies & News

Detecting and Monitoring Solar Farms

Large scale detection and monitoring of renewable energy sources

In order to mitigate the impacts of climate change and reduce the use of fossil fuels, the implementation and use of renewable energy sources is key. Remote sensing provides valuable monitoring of solar farms that enables their efficiency, and hence output, to be tracked over time at scale, efficiently from a distance. In this case study we demonstrate the automatic detection of some solar farms in the south of England and how regular monitoring using satellite thermal imaging reports on their efficiency.

July 2023

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Frost Damage Detection

Detecting frost damage in crops

Frost can be a huge problem for farmers, causing irreversible damage to their crops and significantly reducing the amount of yield that is produced. Although aids such as weather reports can give an indication of when local regions are likely to experience frost, they are not able to tell if and where the crops have been damaged. This is vital as farmers need to know exactly which areas to treat as soon as possible to reduce the impact of frost. This is where remote sensing comes in, which can highlight regions on the farm that crops are most likely to be damaged.

September 2021

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Water Indices

Monitoring Moisture Changes

D-CAT offers a variety of different imagery-derived water indices that are used in various applications, including agriculture monitoring where they offer food producers and farmers invaluable insights to help them sustainably manage their crops and soil.

April 2021

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Spectral Indices

Indicators Derived from Remote Monitoring

Analysis of imagery of the same place captured at different wavelengths can reveal a lot about the content of the scene being viewed. When comparisons are made of scene content at different wavelengths spectral indices are the most common form of image enhancement and there are indices that support a broad range of applications, from minerals to soil to vegetation.

March 2021

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Services

Consultancy

Bespoke services to meet your requirements

We have established a reputation as a trusted partner by our customers. Working closely with them, we tailor solutions to exactly what is needed within the budget available. This ranges from small-scale data exploration studies through to large-scale bespoke developments which deploy complex algorithms to deliver data intelligence to users.

 

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Remote Monitoring

Reliable, routine monitoring and anomaly detection

With the proliferation of sensors across the world, from IoT devices to Earth-observation satellites, huge amounts of data are being generated which monitor a wide range of applications. From environmental data to industrial applications, being able to remotely monitor these applications is an important task, and one which benefits from algorithms which can automatically detect change or anomalies.

 

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Products

Fusion Platform®

Monitoring, reporting and verification platform

Accessing data and derived insights from satellites couldn’t be easier as we have a wide range of immediately available remote sensing services accessible via our Fusion Platform®, and we can also rapidly tailor new data services to meet your needs.

 

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Data Exchange

Delivering intelligent data

Having the right data at the right time is key to producing actionable insight. D-CAT recognise the need to provide customers with flexible access to data that is easy to incorporate into their own analysis and workflows. We therefore make our popular data sets available via AWS Data Exchange so that customers can subscribe to and download the data they need, when they need it in an easy and secure way on the cloud.

 

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Publications

Budykho, K., Boureanu, I., Wesemeyer, S., Romero, D., Lewis, M., Rahulan, Y., Rajaona, F. and Schneider, S. (2023) "Fine-Grained Trackability in Protocol Executions" Network and Distributed System Security (NDSS) Symposium 2023

Miller, R., Boureanu, I., Wesemeyer, S., Newton, C.J.P. (2022) "The 5G Key-Establishment Stack: In-Depth Formal Verification and Experimentation" Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Al-Khalili, J., Smith, A., Sen, P. (2017) "Gravity and Me: the Force that Shapes our Lives" BBC 4 science programme using an iOS and Android app to measure local relativity effects

Treharne, H., Casey, M.C., Schneider, S., Wesemeyer, S., Ross, T., May, A., Blainey, S., Pritchard, J. (2016) "Integrating Data Sources to Enhance the Experience for Passengers with Special Needs and/or Disabilities through Privacy Aware Mobile Applications" Data to Improve the Customer Experience, RRUKA, 20/09/2016 Download

Hickman, D.L., Smith, M.I. (2016) "Mathematical Modeling and Validation in EO System Development" SPIE Press Book

Alsudani, F., Casey, M.C. (2009) "The Effect of Aesthetics on Web Credibility" Proceedings of the 23rd BCS conference on Human Computer Interaction (HCI 2009). Cambridge, UK Download

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