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Professor Daniel Donoghue


Professor in the Department of Geography+44 (0) 191 33 41867


Professor Donoghue has a broadly based research profile that covers applications of remote sensing technology in the fields of spectrometry, forestry, coastal ecology, land use change and archaeology. He has developed processing methods for high spectral resolution optical imaging including a commercial image-processing package (T-Spectra). Recent projects include studies on the use of artificial neural networks for image processing, the study of airborne thermal infrared imagery for geology and archaeology, the use of declassified space photography (e.g. CORONA) and high spatial resolution imagery for archaeological prospection (e.g. IKONOS). Woodland Structure, Habitats assessment & Land cover change Research Associates Robert Dunford and Pete Watt are currently working on methods to quantify woodland structure and volume in upland conifer forests in the UK. Recent work includes a British National Space Centre Customer Partnership Project to study woodland establishment, and, a EU LIFE-ENVIRONMENT project to study rapid stock assessment using satellite image data. Khondaker Huda, Tawhidul Islam and Shahed Rashid hold Commonwealth Commission Scholarships and are using remote sensing to study different aspects of land cover and resource change in Bangladesh. Huda is investigating changes in the distribution and function of small water bodies, Islam is studying changes to sal forest resources and Rashid is looking a land transformation for 1951-2001. Our research group have undertaken contracts research for Durham County Council, English Nature, the Environment Agency and the EU. NERC has supported our work by supplying airborne remotely sensed images. Dr Donoghue was a member of NERC's Airborne Science Steering Committee (1995-1998). Archaeological Remote Sensing Anthony Beck holds a NERC (Natural Environment Research Council) studentship to evaluate satellite data for archaeological landscape assessment. Nikolaos Galiatsatos holds a HSSF (Hellenic State Scholarships Foundation) scholarship to study the use of declassified space photography (e.g. CORONA) and high spatial resolution imagery for archaeological prospection (e.g. IKONOS). Kay McManus holds a University Scholarship and is investigating methods for processing airborne thermal infrared imagery for geology and archaeology applications, this work is in part supported by Dr Stuart Marsh from the British Geological Survey. Dr Donoghue was a member of editorial board of Archaeological Prospection (1999-2002). He helped to found the Archaeological Special Interest Group of Remote Sensing Society and was invited to join Aerial photography & Remote Sensing Committee of the Archaeological Data Service (1996). Catchment Sensitivity Modelling Penny Widdison holds a NERC-ESRC research studentship to study the impacts of land use and policy on freshwater quality in the Leet and Lamden burn sub-basins of the River Tweed. Stephen Opoku Duah holds a Ghana Scholarship to study land cover change and its impact on the Volta river basin in Ghana. Katherine Arrell holds a University Scholarship to study the evolution of cirque glaciers, this work is primarily supervised by Dr Ian Evans. Dr Donoghue helped to found the Scottish Fisheries Co-ordination Centre and is a member of the management committee with responsibility for information technology. The Centre is a partnership among the Scottish Executive, Independent fisheries trusts, Scottish and Southern Energy and The University of Durham. Members of the group have developed computer systems for catchment area analysis and management. Examples of Recent Externally Funded Research Projects 2001 European Commission, LIFE-Environment Fund, 249,000 Euro. British National Space Centre, Customer Partnership Project �44,000. Environment Agency, �2,500, Sediment and GIS analysis of Seal Sands, Teesside.

Research interests

  • airborne and satellite remote sensing
  • applications of remote sensing for archaeology, forestry and coastal change
  • computer aided learning techniques
  • geographical information systems for environmental modelling


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