Research Thesis Topic
Airborne LiDAR Data and High Resolution Imagery for Natural Resource and Environmental Management
The rapid progress of remote sensing technologies provides scientists with new ways of solving conventional problems. Newly available high-resolution spatial data from various sensors such airborne LiDAR, WorldView-2 satellite, and UAV (unmanned aerial vehicle) offer capability of capturing and modelling spatial features in much more detail than ever before. Detailed description and modelling of natural and human phenomena is required for sustainable environmental management in adaption of climate changes. Advanced new remote sensing technologies and urgent requirement in reply with important environment problems inspire researchers to develop and test more reliable approaches to discover new knowledge for improvement of the applications of these new technologies in natural resource and environmental management.
Candidate high degree research students can select topics which they are interested in from the following:
• High quality DEM generation from LiDAR and high-resolution imagery for flood plain mapping and hydrological modelling;
• Urban sprawl and land use/land cover change analysis;
• Forest biophysical feature extraction and species identification;
• Applications of UAV for mining industry or riparian ecosystem management;
• Development of new algorithms and data processing methods for detection, interpretation, characterisation, and modelling of Earth surface features.
- International Centre for Applied Climate Sciences
- School of Civil Engineering and Surveying
- Agriculture, Land and Farm Management
- Environmental Science and Management
- Geomatic Engineering
Please review the admission requirements for the academic program associated with this Thesis Topic