Agriculture Weed Detection

Fallow Season Weed Detection

Identifies weeds over bare soil, providing 10m resolution maps and related data over your specified region of interest.

This service detects weed patches of 10m by 10m or greater that are present in fallow fields/paddocks, enabling effective weed management and decision making in remote areas or for those without high-resolution technology. Given a region of interest, the algorithm is run using Sentinel-2 to return the detected weeds for the fallow area from the start date to the optional end date. The output is provided as a GeoTIFF classifying weed (1) and non-weed (0). A preview image is also provided along with an outline of the weed areas as a series of polygons (where the minimum size of the polygons can be optionally modified using the options). A CSV file is also output containing data for the whole area and individual fields/paddocks, which includes weed area and percentage.

Agriculture Weed Detection

Case Studies & News

Vegetation Indices

Monitoring Vegetation Growth

D-CAT offers a wide range of imagery-derived vegetation indices that are used in various applications, including agriculture monitoring, offering food producers and farmers invaluable insights to help them sustainably manage their crops and soil.

March 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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Monitoring Land Surface Temperature

Smart processing for higher resolution images

The challenge to monitor changing temperatures in urban and rural areas has never been more real or important. Most commonly, temperature readings are taken by measuring the temperature of the air. However, this has a major drawback in that it cannot account for variation of temperature on different surfaces and materials. To do so, Land Surface Temperature (LST) is required. LST readings are generally obtained through remote sensing observations from satellites, which offer the benefit of monitoring cities, regions and nations at scale and at regular intervals. What differentiates D-CAT’s LST product is the unparalleled spatial resolution of 15m enabling more precise spatial insights.

March 2021

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Announcing New Partner Channel

AWS Select Technology Partner

Digital Content Analysis Technology (D-CAT), the leading business intelligence and data analysis company is pleased to announce it is now a Select Technology Partner in the Amazon Web Services (AWS) Partner Network (APN).

November 2020

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Capabilities

Image Processing & Fusion

Specialist image analysis and data fusion

We go beyond standard approaches to extract greater value from imagery for our customers. Whatever the image waveband, type or quality, we have the understanding and experience to meet even the most demanding of requirements, whether through existing algorithms or new, bespoke solutions, we can tailor to price and performance demands. As image and data fusion experts, we also bring the ability to offer enhanced performance from multiple sensor sources, where available.

 

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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

Scarles, C., Treharne, H., Casey, M.C., Abidin, H.Z. (2020) "Micro-mobilities in Curated Spaces: Agency, Autonomy and Dwelling in Visitor Experiences of Augmented Reality in Arts and Heritage" Mobilities

Hickman, D.L., Smith, M.I., Lim, J., Jeon, Y. (2018) "Modelling of Celestial Backgrounds" Proceedings of SPIE 10641, Sensors and Systems for Space Applications XI

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

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