MSc. Advanced Forest Research, Technical University of Madrid (2013)
BA. Forestry Engineer specialized in Environmental Management, Technical University of Madrid (2012)
4V5 Cottrell Building
Biological & Environmental Sciences
Faculty of Natural Sciences
University of Stirling
Stirling, Scotland, FK9 4LA
tel: +44 (0)1786 467794
fax: +(44) 1786 467843
Development and adaptation of algorithms for the estimation of carbon budget in lakes.
There is increasing evidence that lakes play an important role in regional and global biogeochemical cycling, particularly in the storage, transport and transformation of carbon. However, there is much uncertainty about how the role of lakes in carbon cycling is likely to be modified under future climate change. The estimation of global carbon stocks in lakes is hampered by the fact that there are over 305 million lakes on Earth and the vast majority of these systems, particularly those in remote and inaccessible locations, have never been previously studied or monitored.
The forthcoming generation of Earth-observing satellites, such as the European Space Agency’s (ESA) Copernicus programme, will provide new capabilities for observing lakes at a global scale and at high spatial and/or temporal resolutions. In this framework it is needed to develop and validate algorithms for estimating lake biogeochemical properties applicable to these new sensors.
The overall aim of this project is to develop and adapt algorithms for the estimation of carbon-relevant metrics, for application to ESA’s forthcoming Sentinel-3 OLCI satellite (300-1200m spatial resolution). The further application of these algorithms to Sentinel-2 MSI and the recently launched Landsat-8 satellite (10-60m and 30m spatial resolution respectively) will extend observations to finer scales allowing measurements on even small lakes.
IMPACT studentship funded by the University of Stirling
GloboLakes Project (http://www.globolakes.ac.uk/)