Case Studies

We are collaborating with colleagues in the department of Sustainability and Social Responsibility's Forest and Peatland Project to deliver baseline mapping and future monitoring of the University's new estate at Drumbrae.

E4 PhD student Liz Poulsom is studying methods to remotely sense the early onset of forest disease using a variety of sensing techniques.

E4 PhD student Apithanny Bourne is studying the use of high resolution imaging and remote sensing to assess the quality of pollinator habitats such as floral field margins and species rich grasslands.

We've been delighted to support SENSE (Satellite Data in Environmental Science) PhD student Calum Hoad on his work using drones and satellite data to understand changes in Arctic tundra.

Working closely with the UK Centre for Ecology and Hydrology (UKCEH), E3 PhD student Gillian Simpson used high resolution remote sensing data in conjunction with ground sensors to study patterns of peatland carbon exchange.

PhD student Safaa' Alawadhi is using drone, aircraft and satellite-based remote sensing to develop efficient and responsive methods to assist in mapping and managing oil spills.

We are deploying our advanced drone LiDAR and photogrammetry systems to the Belmont Estate in Grenada help reveal traces of a historic landscape of enslavement.

We are collaborating with the Scottish Seabird Centre and colleagues within the School of Biological Sciences to deploy the latest imaging and machine learning technologies in support of research into the ongoing avian flu epidemic affecting seabirds across the northern hemisphere.

We have been working with colleagues within GeoSciences to digitally scan dinsosaur trackways on the Isle of Skye.

In collaboration with Highlands Rewilding we have supported post-graduate student research into the utility of drone imagery in mapping pollinator resources and connectivity in the Scottish Highlands.

In collaboration with the Eddleston Water Project and researchers at the University of Dundee we have been involved in a study to assess various sensing techniques to map the historic river channel near Eddleston.

We have been supporting MSc research into the use of high resolution imagery and multi-spectral sensing for the automated identification and mapping of coastal plastic pollution.