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.

Through our work analysing many types of imagery data, and especially different sources of satellite data, we have developed key data sets designed to resolve real problems which we ourselves frequently use. For example, these data sets range from combining different channels of multi-spectral data into a variety of vegetation, water or soil indices, through to intelligent processing techniques we apply to other data sources to increase spatial or temporal resolution. We make these popular datasets available via  AWS Marketplace Data Exchange (ADX).

D-CAT is always seeking new ways to broaden the reach of our data products. The frictionless solution for ingesting third-party data products offered by AWS Data Exchange allows us to share this data in an effective and secure way. You just need an AWS account to benefit from this data ingestion technology. AWS Data Exchange allows you to manage all your data subscriptions from a single place, the AWS console, including the updates of the data product and the commercial and legal terms of use.

While we offer popular products via AWS Data Exchange, if you have specific requirements, or want to know more, please get in touch, and we'd be pleased to help.

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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Predicting Crop Yield

Forecasting wheat production months before harvest

A strong and stable agriculture sector is important at a national level as a source of food, and beneficial as a source of economic gain through exports. Early prediction of harvest yields at national and regional scales is therefore important as an influencer of commodity trading pricies, a means of ensuring adequate food supplies, managing logistics, and as a component of balance of trade. At a smaller scale, accurate estimates of likely yields allow farmers to better manage budgets, plan seed retention versus sales, assist with insurance cover judgements, and crop management decisions through the latter part of the growing season. Crop yield prediction is possible using remote sensing from satellite imagery, and accurate predictions of wheat yield are shown below to be possible months before harvest.

March 2022

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Pasture Biomass Mapping

Accurate mapping irrespective of cloud cover

Trusted, accurate mapping of pasture biomass bring another level of decision making to anyone working with pastures, and offers the potential for more efficient practices, optimised feed management and the avoidance of over-grazing. Removing the need to estimate biomass by eye, plate-meter or drone/aircraft flights, satellite-derived biomass mapping saves time and money. Here we share our latest case study, where a best-practice test farm in Australia has finished trialling our pasture biomass service and is utilising it to develop optimal stock movements, improve sustainability and drive greater efficiencies.

August 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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Capabilities

Platforms & APIs

Robust cloud platforms and API solutions

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.

 

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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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