Home || Research Interests || CV

Education

Ph.D. Candidate, Department of Geography (Hydrology and Remote Sensing Branch)¸ University of Cambridge, UK (2004-2008).Research interests: The potential of LiDAR in recovering physical data on floodplain vegetation to parameterise flow resistance . Advisors: Pr. Keith Richards and Dr. James Brasington.

B.Sc., Geographical Sciences¸ University of Bristol, UK (2001-2004).

Publications

Antonarakis, A.S., Munger, J.W., Moorcroft, P.R. (in review). Forest structure and composition from remote sensing to constrain predictions of forest ecosystem carbon dynamics, Geophysical Research Letters .

Antonarakis, A.S., Saatchi, S.S., Chazdon, R.L., Moorcroft, P.R. (2011). Using Lidar and Radar measurements to constrain predictions of forest ecosystem structure and function, Ecological Applications, 21 (4), 1120-1137. [PDF]

Antonarakis, A.S. (2010). Evaluating forest biometrics obtained from ground lidar in complex riparian forests, Remote Sensing Letters, 2 (1), 61-70. [PDF]

Antonarakis, A.S., Richards, K.S., Brasington, J., Muller, E. (2010). Determining LAI and leafy tree roughness using terrestrial laser scanning, Water Resources Research, 46, W06510. doi:10.1029/2009WR008318. [PDF]

Antonarakis, A.S., Richards, K.S., Brasington, J., Bithell, M. (2009). Leafless roughness of complex tree morphology using terrestrial lidar, Water Resources Research, 45, W10401. doi:10.1029/2008WR007666. [PDF]

Antonarakis, A.S. (2008). The potential of LiDAR in recovering physical data on floodplain vegetation to parameterise flow resistance. PhD, Cambridge University, UK.

Ecological Applications

Antonarakis, A.S., Richards, K., Brasington, J. (2008). Object-based land use classification using airborne lidar. Remote Sensing of Environment, 112 (6), 2988-2998. doi:10.1016/j.rse.2008.02.004. [PDF]

Antonarakis, A.S., Richards, K., Brasington, J., Muller, E., Bithell, M. (2008). The use of Airborne lidar to retrieve vegetative fluid resistance terms for rigid stems. Remote Characterization of Vegetation Structure; Special Issue Journal of Geographical Research-Biogeosciences, 113, G02S07. doi:10.1029/2007JG000543. [PDF]

Presentations and Workshops:

Antonarakis, A.S., Moorcroft, P.R. (2012). Forest structure and composition from remote sensing to constrain predictions of forest ecosystem carbon dynamics. Ecological Society of America, Session COS 47: 'Remote Sensing And Image Analysis', Portland, OR, USA.
Antonarakis, A.S., Moorcroft, P.R. (2012). Forest structure and composition from remote sensing to constrain predictions of forest ecosystem carbon dynamics. 23rd Harvard Forest Symposium, Harvard Forest, MA, USA.
Antonarakis, A.S., Moorcroft, P.R. (2011). Forest Structure and Composition from Remote Sensing. Hyperspectral applications pertaining to the HYSPIRI mission, NASA Headquarters, Washington D.C., USA.
Antonarakis, A.S., Saatchi, S.S. Blair, J.B., Moorcroft, P.R. (2010). Linking remote sensing with a state-of-the-art terrestrial biosphere model to better predict ecosystem dynamics. Session B33H, Ecological Significance of Forest Structure from Remote Sensing, Modelling, and Field Measurements. American Geosciences Union, San Francisco, USA.
Antonarakis, A.S., Saatchi, S.S., Chazdon, R.L., Moorcroft, P.R. (2010). Plant Symposium, Harvard University, Cambridge, MA, USA, April 29-30.
Antonarakis, A.S., Saatchi, S.S., Chazdon, R.L., Moorcroft, P.R. (2010). Using Lidar and Radar measurements to constrain predictions of forest ecosystem structure and function. NASA Terrestrial Ecology Science Team Meeting, La Jolla, CA, USA.
Antonarakis, A.S., Saatchi, S.S., Moorcroft, P.R. (2009). Using Lidar and Radar measurements to constrain predictions of forest ecosystem structure and function. Session B23F, Remote Characterization of Vegetation Structure: Including Research to Inform the Planned NASA DESDynI and European Space Agency BIOMASS Missions I. American Geosciences Union, San Francisco, USA.
Antonarakis, A.S., Richards, K., Brasington, J. (2007). Object-based Land Use Classification using Airborne LiDAR. Lidar Symposium, Scott Polar Research Institute, Geography Department, Cambridge University, UK.
Antonarakis, A.S., Richards, K., Brasington, J., Bithell, M. (2006). The potential of LiDAR in recovering physical data on floodplain vegetation to parameterise flow resistance. Session B07, American Geosciences Union, San Francisco, USA.
Antonarakis, A.S., Richards, K., Brasington, J., Bithell, M. (2006). Le potentiel de LiDAR de retrouver des données physiques sur la végétation riveraine pour parameteriser la résistance hydraulique. Atelier REGLIS LIDAR, Montpellier, France.
Antonarakis, A.S., Richards, K., Brasington, J., Devereux, B., Amable, G. (2005). The use of LiDAR and aerial photography to identify Floodplain Vegetation parameters at Woodwalton Fen. European Geosciences Union, Vienna, Austria.

 Teaching Experience

- Supervisions in Part IA, Physical Geography, Cambridge University Department of Geography
- Supervision in Part II - Prescribed topics in geography IV: Fluvial Systems, Cambridge University Department of Geography
- Supervisions in Part IB - Physical and environmental geography III. Environmental hazards, Cambridge University Department of Geography
- Filed Demonstrations in Hydrology, Fluvial Processes, and Landscapes, Cambridge University  Department of Geography

Peer Reviewing

- Remote Sensing of Environment / PNAS / International Journal of Remote Sensing / Agricultural and Forest Meteorology / ISPRS Journal of Photogrammetry and Remote Sensing / Recent Patents on Computer Science / Agroforestry Systems/ PLOS ONE / IEEE Transactions on Geoscience and Remote Sensing / Journal of Applied Remote Sensing