<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/E08B52FC-0E97-4148-B0FA-AD3DCCDF9A9A" ns1:id="E08B52FC-0E97-4148-B0FA-AD3DCCDF9A9A"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/66FAF415-35C2-4802-B7A5-AF883D758449" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/1DB1D95E-D1C7-4A47-AD48-99A0DF12A101" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/1DB1D95E-D1C7-4A47-AD48-99A0DF12A101" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2024-08-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/B2FCFD0F-2227-4030-B810-CC97B7177345" ns1:rel="FUND" ns1:start="2024-03-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10101607</ns2:identifier></ns2:identifiers><ns2:title>SnowTruthSurvey</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The UK Wintersports industry, centred on Scotland's mountains, is worth &amp;pound;20-million/year and is vital to these rural communities. However, in recent years the industry has become overwhelmingly dependent on artificial snow production (80-90% of pistes) to unconditionally maintain a minimum 40-50cm depth to avoid snowpack failure and remain operational, as global warming disproportionately impacts mountain regions.

Artificial snow production is highly energy and water-intensive, accounting for up to 50% of resort operating costs and generating 3,500kg CO2-equivalent emissions per km of piste secured by artificial snow production.

Accurate requirement assessment and planning is therefore critical to reduce costs and environmental impact of over-production, which currently reaches 40% wastage due to worst-case scenario planning.

SkiBro has developed EcoSki, the world's first hyper-accurate, 3-dimensional snow topology mapping and production-planning system, based on satellite and crowd-sourced terrain altitude data for instantaneous, just-in-time operational decision-making. This project will demonstrate accuracy against LIDAR derived ground truth surveys supporting commercialisation of EcoSki.</ns2:abstractText></ns2:project>