Relating secondary forest characteristics to time series of Landsat-derived reflectances
Stephen
Hagen, University of New Hampshire-EOS-CSRC, steve.hagen@unh.edu
(Presenting)
William
Salas, Applied Geosolutions, wsalas@agsemail.com
Lucas
Fortini, University of Florida, lfortini@ufl.edu
Mark
Ducey, University of New Hampshire-NR, mjducey@cisunix.unh.edu
Jiaguo
Qi, Michigan State University, qi@msu.edu
Daniel
Zarin, University of Florida, zarin@ufl.edu
Joanna
Tucker, University of Florida, jmtucker@ufl.edu
Diogenes
Alves, IMPE/DPI, dalves@dpi.inpe.br
As part of an integrated study aimed at modeling and mapping forest regrowth potential for the Amazon region, we conducted extensive field measurements of secondary forest structure in three areas across Amazonia and collected time series of remote sensing data from these same areas. We present preliminary results linking these field measurements and an annual times eries of Landsat reflectance data. We compare the rates of succession of the stands by examining the stand level trajectories of reflectance over time. We also explore the feasibility of establishing a structural index created from the Landsat observations that is related to a combination of field-measured structural attributes. The thick and variable atmospheric conditions complicate the creation of a standard time series of reflectances from the Landsat data.
Submetido por Stephen Charles Hagen em 25-MAR-2004
Tema Científico do LBA: CD (Armazenamento e Trocas de Carbono)