Biography
Professor Martin Wooster is an expert on satellite Earth observation and the quantification of landscape fire. He was appointed Professor of Earth Observation Science at King's in 2005.
He joined the Department of Geography in 1998 on a lectureship funded by the Natural Environment Research Council (NERC) Earth Observation Science Initiative (one of four such lectureships awarded nationally in the UK).
He is currently working on the Leverhulme Centre for Wildfires, Environment and Society, in partnership with Imperial College London, Royal Holloway and the University of Reading.
Previously, he was the Principle Investigator in the NERC National Centre for Earth Observation. His research was instrumental in developing the operational Fire Radiative Power (FRP) product from the Meteosat Second Generation satellites, available free in real-time from the EUMETSAT Land Satellite Applications Facility (Land SAF).
Martin chaired the Steering Committee of the NERC Field Spectroscopy Facility and was previously a member of the Steering Committee of the NERC Airborne Remote Sensing Facility. He holds investigatorships on a number of remote sensing missions.
Qualifications
BSc in Physics, University of Bristol
MSc in Remote Sensing, University of London
PhD in Earth Sciences, Open University (focused on exploiting the ATSR instrument for the remote sensing of active volcanoes)
Awards
'Young Academic Researcher of the Year' award, King's College London (2007)
Innovation and Impact' award, King's College London (2009)
'Daiwa-Adrian Award for Excellence in UK-Japan Collaborative Science'
'Knowledge Transfer Award for Environmental Science', London Development Agency
Research
- Remote sensing/Earth observation
- Biomass burning
- Active volcanoes
- Natural hazards
- Thermal processes atmospheric pollutionisation and complex systems
Martin's key research interest lies in quantifying the role that vegetation fires (biomass burning) play in exchanges of material between the land surface and the atmosphere, and the development of remote sensing approaches to help address this question.
Teaching
PhD supervision
Martin welcomes those interested in possible postgraduate study or research fellowships to email him.
Further details
See Martin's research profile