Indices Vegetation Synthetic Aperture Radar

Radar Indices

This service provides a radar vegetation index (RVI) image for your specified region of interest.

RVI is a measure of vegetation abundance, and can therefore be used through a crop or pasture growing season to assess the relative amounts of vegetation present. Similar to how Normalized Difference Vegetation Index (NDVI) is used, but measuring abundance rather than vigour/greenness, RVI images have the benefit of all-weather validity. Given a region of interest, the algorithm is run using Sentinel-1 to return the indices from the start date to the optional end date. Imagery is output as a GeoTIFF for each set of input VH and VV files for a specific date, with a single band representing the calculated index. Pixel values are typically on a normalised scale (0 to 4). All GeoTIFF files are provided at native resolution of the inputs.

Indices Vegetation Synthetic Aperture Radar

Case Studies & News

Soil Monitoring for Sustainable Land Use

Satellite-Derived Top-Soil Mapping: Uses & Benefits

Understanding soil is vital for good agricultural outcomes and sustainable land use management, but methods for mapping and monitoring typically require manual intervention. Satellite-derived top-soil indices do not, and are therefore offer an attractive alternative – or addition – to other data gathering methods.

June 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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Monitoring Oceans and Coasts with Remote Observations

Detecting Oil Spills

There is an increasing need for using insightful remote sensing to monitor the environment. Rising levels of pollution and temperature in oceans have caused concern for the impact on aquatic life and coastal regions. With oceans covering over 70% of the Earth's surface, solutions are needed that allow large regions to be monitored quickly and effectively, providing more than imagery alone. D-CAT offer services which help clients to manage and protect fragile ecosystems.

August 2020

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Cloud and Shadow Detection in Satellite Images

Removing uncertainty in Sentinel-2 images

There is a rapidly increasing demand for remote sensing capabilities, which calls for quick and efficient ways to transform raw data into useable insights. However, clouds and shadows in optical satellite images block the potential for creating usable insights. D-CAT offers a reliable cloud and shadow detection service which allows clients and users of Sentinel-2 imagery to identify them with ease and trust the processed results.

July 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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