Indices Multispectral Vegetation

Vegetation Indices

This service provides 11 vegetation indices as images for your specified region of interest.

Vegetation indices provide metrics about vegetation properties. Given a region of interest, the algorithm is run using Sentinel-2 to return the indices from the start date to the optional end date. The indices produced are:

  • Enhanced Vegetation Index (EVI),
  • Green Vegetation Index (GVI),
  • Leaf Area Index (LAI),
  • Modified Triangular Vegetation Index - Improved (MTVII),
  • Normalized Difference Vegetation Index (NDVI),
  • Optimized Soil Adjusted Vegetation Index (OSAVI),
  • Plant Senescence Reflectance Index (PSRI),
  • Renormalized Difference Vegetation Index (RDVI),
  • Red Edge Normalized Difference Vegetation Index (RENDVI) and
  • Red Green Ratio Index (RGRI).
  • Soil Adjusted Vegetation Index (SAVI).
  • Normalized Difference Nitrogen Index (NDNI).
The imagery is output as a series of GeoTIFF files, each with a single band representing the calculated indices. Pixel values are typically on a normalised scale (-1 to 1), although a small number of indices have different potential ranges of values. All GeoTIFF files are provided at native resolution of the inputs.

Indices Multispectral Vegetation

Case Studies & News

AgriFutures Australia: evokeAG.

Turning satellite imagery into actionable advice for farmers

As part of the evokeAG. podcast series, Professor Andy Lowe speaks with our CTO Dr Moira Smith about our use of remote sensing and its applications to agriculture – turning satellite imagery into actionable advice for farmers.

September 2022

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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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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 Wildfires

Western USA, Oregon State

There is an increasing need for affordable, effective monitoring of the environment, with the recent wildfires in the western US states being only the latest example. Each year the number of wildfire outbreaks across the globe increases, as does the need for faster detection of fires and the ability to reliably monitoring them through degraded conditions. With forests covering millions of acres of land worldwide, satellite-based imaging services from D-CAT can play a key role in monitoring fire risk for all stakeholders, including fire-fighters.

September 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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