My broad research interest is the application of geographical information system (GIS), earth observation and machine learning techniques to environmental and human problems.
My current research focus is on land surface temperature validation and monitoring from geostationary satellites. Additional research activities are on-going in the fields of crop yield prediction, pesticide environmental fate modelling and the commercial use of geospatial data.
My PhD focused on using the high resolution Swedish 'New National Height model' to examine how streamlined glacial landforms (drumlins) are influenced by the geology and geography over which they form. Using digitised geo-data, human mapping and a high resolution elevation model I used machine learning and artificial neural networks to examine the driving factors in the sub-glacial interface.