Canadian Journal of Remote Sensing Prize Paper Award / Prix pour le meilleur article du Journal canadien de télédétection
The CJRS Prize Paper Award was created in 2001 to recognise excellence in peer-reviewed publications. The award will be presented during the Canadian Symposium on Remote Sensing for the best paper (published in any category) in the prior year’s volume. The CJRS Editorial Board, based upon nominations from reviewers, board members, or CRSS members, recommends the winner to the CRSS Awards Committee. The winner will receive a one-year membership in CASI/CRSS and a certificate.
Recipients / Récipiendaires
2001 - Sverre T. Dokken (Chalmers University of Technology, Gothenburg, Sweden) and co- authors, for a "significant contribution to the development and validation of sea ice remote sensing applications" as published in:
Dokken, S.T., B. Håkansson and J. Askne, 2000. Inter-Comparison of Arctic Sea Ice Concentration Using RADARSAT, ERS, SSM/I and In-Situ Data, Canadian Journal of Remote Sensing, 26(6): 521-536.
2002 - A. Laurence Gray (Canada Centre for Remote Sensing, Ottawa) and co-authors, for "a critical assessment of the application of SAR interferometry as an original quantitative SAR interpretation technique to an important and generalised problem" as published in:
Gray, A.L., Short, N., Mattar, K.E., and Jezek, K.C., Filchner Ice shelf and its Tributaries Determined from Canadian Journal of Remote Sensing, 27(3): 193-206.
2001. Velocities and Flux of the Speckle Tracking Interferometry,
2005 - Naomi H. Short (Noetix Research Inc., Ottawa) and co-authors, for “an important contribution to RADARSAT image analysis of glacier movement in northern Canada”, as published in:
Short, N.H. and A.L. Gray, 2005.
Glacier Dynamics in the Canadian High Arctic
2006 - Darren Janzen (University of Northern British Columbia, Prince George, B.C.) and co- authors, for "an innovative approach to forestry remote sensing image processing and analysis”, as published in:
Janzen, D., R. Wheate and A. Fredeen, 2006. Radiometric Correction Techniques and Accuracy Assessment for Landsat TM data in Remote Forested Regions, Canadian Journal of Remote Sensing, 32(5): 330-340.