Abstract


No Paper
Mapping the Amazon Basin Hydrography: An Automated Approach
Track: Water Resources
Author(s): Brent Chamberlain, Mike Meitner, Carlos Ribeiro

With significant gains in computing power, advances in Geographical Information Systems and the increasing availability of high resolution satellite imagery, hydrological modeling in the Amazon Basin is becoming increasingly precise. With these advancements, the automated creation of basin characteristics has become a viable alternative to traditional manual extraction of these parameters from topographic maps. An automated approach is necessary when trying to map large watersheds such as the Amazon basin. We highlight a number of limitations regarding current hydrological modeling techniques for very flat terrain. Furthermore, we propose a method that is more precise and accurate for delineating the boundaries of riparian features within the Amazon.

Brent Chamberlain
University of British Columbia
Forest Resources Management, Faculty of Forestry, UBC
2054 - 2424 Main Mall
Vancouver , BC V6T 1Z4
Canada
Phone: 604.822.6708
E-mail: chambs10@interchange.ubc.ca

Mike Meitner
University of British Columbia
#2054 - 2424 Main Mall
Department of Forest Resources
Vancouver , BC V6T1Z4
Canada
Phone: (604) 822-0029
E-mail: mike.meitner@ubc.ca

Carlos Ribeiro
Federal University of Vicosa
Department of Forest Engineering
Vicosa , MG 36571-000
Brazil
Phone: +55 (31) 3899-1186
E-mail: caas.ribeiro@gmail.com