HR: 12:05h
AN: B42A-08    [Abstracts]
TI: Remote Sensing of Forest Disturbance and Selective Logging Throughout the Brazilian Amazon
AU: * Asner, G P
EM: gpa@stanford.edu
AF: Carnegie Institution, 260 Panama St, Stanford, CA 94305 United States
AU: Bustamante, M
EM: mercedes@unb.br
AF: University of Brasilia, Department of Ecology, Brasilia, DF 00000 Brazil
AU: Keller, M
EM: michael@kaos.sr.unh.edu
AF: University of New Hampshire, Complex Systems Research Center, Durham, NH 80000 United States
AB: Selective logging is one of the most difficult forms of land-cover change to detect with remote sensing. Variation in the biophysical attributes of selective logging challenge traditional methods. LBA has supported the development of improved remote sensing approaches for detecting the location of selective logging, for quantifying forest canopy damage associated with timber harvest, and for monitoring rates of forest canopy closure following disturbance. Different methods have now been compared, and the strengths and weaknesses have been documented. In addition, remotely observed changes in forest canopy cover following timber harvest are now being linked to a range of ecological and biogeochemical processes in the field. This presentation will provide a detailed summary of the overall progress towards understanding how selective logging affects Amazonian forest ecosystems at the regional scale.
DE: 1615 Biogeochemical processes (4805)
DE: 1640 Remote sensing
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting