Project TAPIO Intelligent Geospatial Risk Management Service for Vegetation

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UK Meteorological Office data show that the growing season for trees and other vegetation in the UK is increasing up to 328 days per year.  UK electricity distribution companies are predicted to spend nearly £1billion over the next 5 years ensuring that encroaching vegetation does not disrupt the supply of electricity to critical national infrastructure.  Airborne LiDAR data collection can provide an account of encroaching vegetation, but this is an expensive and time-consuming ‘snapshot’ of the network condition at one point in time. 

Project TAPIO enhances the RiMiT® solution which is comprised of 4 subscription services that provide the user with the answers to 4 simple questions:

RiMiT Baseline™

  • Which trees are posing a risk to my infrastructure now?

 RiMiT Compliance™

  • Have the trees which posed a risk to my infrastructure been cut correctly? (includes RiMiT Baseline™)

 RiMiT Predict™

  • When and where will trees next pose a risk to my infrastructure? (includes RiMiT Baseline™ and RiMiT Compliance™)

 RiMiT Monitor™

  • Do I need to collect LiDAR again to identify infrastructure risk? (includes RiMiT Baseline™, RiMiT Compliance™ and RiMiT Predict™)

Users and their needs

Target user communities:

-       Critical national infrastructure providers including electricity, railways, highways, water and other sectors. 

Involved users:

-       Scottish Power Energy Networks (SPEN)

-       Scottish & Southern Energy Networks (SSEN)

-       UK Power Networks (UKPN)

-       Western Power Distribution (WPD)


User needs:

-       Accurate data detailing which trees are most likely to damage their network.

-       Affordable and timely status updates regarding proximal vegetation on their networks.

-       Clear and specific work orders for tree surgeons.

-       Confirmation that the tasked work order has been completed.

-       Forecast of cutting required for efficient planning.


Operational challenges:

-       Safety; operating near power lines is dangerous and so companies need to use accurate task orders to minimise the time workers spend in close proximity.

-       Scale; 300,000km of overhead powerlines in the UK therefore understanding the real-time status of the entire network is data-intensive.

-       Resources; cutting trees in remote parts of the UK is time-consuming and expensive.

The intended users are in the UK but Point4 aspire to offer the benefits of the RiMiT® solution to other countries within Europe and beyond. 

Service/ system concept

RiMiT® solution

The 4 RiMiT® services work together to minimise the need for airborne LiDAR data collection.  An indicative solution configuration is below, noting that Point4 aspire to maximise the airborne LiDAR data value for a period of at least 6 years.

RiMiT Baseline™ 

This service maps the proximity of vegetation to electricity network apparatus in 3D using airborne LiDAR and assigns an individual tree risk value.  Users interact with the service through a graphic user interface (GUI) accessed via a web browser login portal.  The following types of information are delivered:

  • A network vegetation risk profile presented within the RiMiT Compute™ risk management web portal.
  • 2D and 3D referenced model of the client’s infrastructure with a narrow corridor of surrounding vegetation.
  • Colour-coded vegetation polygons in a risk layer which closely correspond with industry-standard risk categories.


RiMiT Compliance™

This service enables accurate measurement of tree clearances once tree surgeons have cut-back encroaching vegetation.  A GPS-enabled hand-held laser device accurately records the new clearance distance between the vegetation and the nearest network apparatus.  This measurement device transmits the clearance data by SATCOM back into the RiMiT Engine™ which automatically updates the corresponding vegetation’s new risk value in the RiMiT Compute™ risk management portal. 


RiMiT Predict™

Using an additional LiDAR dataset, this service utilises growth-modelling algorithms to assess the future clearance, and therefore risk value, of encroaching vegetation.  Using this analysis, clients can anticipate when and where trees will need to be cut on their networks thereby ensuring the most efficient use of limited resources.  This service creates, in essence, a living dataset in which vegetation values are regularly updated to ensure that maximum value is derived from expensive airborne LiDAR data collection.


RiMiT Monitor™

This service monitors the accuracy of the predictive growth model through the use of very-high spatial resolution Earth observation (EO) data.  Growth Verification Sites (GVS) are created across the network in which actual clearance measurements are derived from EO data using advanced image processing techniques.  These measurements are used to assess the growth model performance and advise the client as to when they may wish to plan a new airborne LiDAR collection campaign.  The use of EO data maximises the value from airborne LiDAR data collection and helps to reduce carbon emissions from repeated collection flights. 

Space Added Value

Earth observation (EO).  This project will demonstrate the use of Worldview-3 and SkySat electro-optical satellite imagery, coupled with advanced imagery processing techniques, to verify the performance of the RiMiT Predict™ vegetation growth model.  The added value is ubiquitous very high spatial resolution imagery of the network apparatus and encroaching vegetation.  This will compliment airborne LiDAR collection which is the current method of documenting encroaching vegetation.

Satellite communication (SATCOM).  The project is using Alphasat 24.8E, an Inmarsat/ESA Inmarsat-4A F4 large geostationary communications satellite.  The added value of using this space asset is that field workers, making vegetation clearance measurements after tree cutting, are able to upload their data at any time – even when there is no cellular signal.

Position, navigation and timing (PNT).  When field workers make measurements, and when SATCOM is used, the signal from GPS satellites is used to provide a precise field location.  The project is currently using equipment compatible with GPS however, going forward, the intention is to source equipment which can also use the Galileo GNSS.  The added value is more accurate surveys, more efficient vegetation location and reporting than by using analogue map-reading or visual survey techniques alone.

Current Status

Project TAPIO has passed the Critical Design Review (CDR) milestone and is proceeding towards the Factory Acceptance Test (FAT) milestone at the end of summer 2019.  The RiMiT® services will then be verified at a UK Power Networks (UKPN) test site near Bury St Edmunds for the System Acceptance Test (SAT) milestone, before 2 additional pilot demonstrations are undertaken with other industry partners. 

Prime Contractor

Status Date

Updated: 17 April 2019 - Created: 17 April 2019