Short biography
I have an undergraduate degree in Physical Geography - Université de Montréal (1986), an M.Sc. in Geography - Université de Montreal (1990), and a PhD in Remote Sensing - University of Queensland (2001). I am currently an adjunct professor at the Universidade Federal de Minas Gerais. I have strong experience in the geosciences with an emphasis on remote sensing.
Supervisors
Research interests
My key research interests focus on remote sensing of vegetation in the tropics, digital mapping, image classification, image-based statistical models, and digital image processing for optical and radar imagery.
Research topics
Research demos
Satellite SAR Sea Ice Classification
Publications
Journal articles
Clausi, D. A., K. Qin, M. S. Chowdhury, P. Yu, and P. Maillard, "MAGIC: MAp-Guided Ice Classification system for operational analysis", Canadian Journal of Remote Sensing, vol. 36, no. 1, pp. S13-S25, 2010. Details
Maillard, P., T. Alencar-Silva, and D. A. Clausi, "An evaluation of RADARSAT-1 and ASTER data for mapping veredas (palm swamps)", Sensors, pp. 6055-6076, 2008. Details
Maillard, P., D. A. Clausi, and H. Deng, "Operational map-guided classification of SAR sea ice imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 12, pp. 2940 - 2951, 2005. Details
Conference papers
Clausi, D. A., K. Qin, M. S. Chowdhury, P. Yu, and P. Maillard, "MAGIC: MAp-Guided Ice Classification system for operational analysis", 5th IAPR Workshop on Pattern Recognition in Remote Sensing, Tampa, FL, USA, 2008.Details
Maillard, P., and D. A. Clausi, "Improving sea ice classification using the MAGSIC system", International Socity for Photogrammetry and Remote Sensing, Enschede, The Netherlands, January, 2006. Details
Maillard, P., and D. A. Clausi, "Pixel-based sea ice classification using the MAGSIC system", International Society for Photogrammetry and Remote Sensing, Enschede, The Netherlands, 2006. Details
Maillard, P., and D. A. Clausi, "Comparing classification metrics for labeling segmented remote sensing images", 2nd Annual Canadian Conference on Computer and Robot Vision, Victoria, B.C., Canada, pp. 421 - 428, September, 2005. Details