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Proceedings Paper

Determining aboveground biomass of the forest successional chronosequence in a test-site of Brazilian Amazon through X- and L-band data analysis
Author(s): João Roberto Santos; Camila Valéria de Jesus Silva; Lênio Soares Galvão; Robert Treuhaft; José Claudio Mura; Soren Madsen; Fábio Guimarães Gonçalves; Michael Maier Keller
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Paper Abstract

Secondary succession is an important process in the Amazonian region with implications for the global carbon cycle and for the sustainable regional agricultural and pasture activities. In order to better discriminate the secondary succession and to characterize and estimate the aboveground biomass (AGB), backscatter and interferometric SAR data generally have been analyzed through empirical-based statistical modeling. The objective of this study is to verify the capability of the full polarimetric PALSAR/ALOS (L-band) attributes, when combined with the interferometric (InSAR) coherence from the TanDEM-X (X-band), to improve the AGB estimates of the succession chronosequence located in the Brazilian Tapajós region. In order to perform this study, we carried out multivariate regression using radar attributes and biophysical parameters acquired during a field inventory. A previous floristic-structural analysis was performed to establish the chronosequence in three stages: initial vegetation regrowth, intermediate, and advanced regrowth. The relationship between PALSAR data and AGB was significant (p<0.001) and results suggested that the “volumetric scattering” (Pv) and “anisotropy” (A) attributes were important to explain the biomass content of the successional chronosequence (R2adjusted = 0.67; RMSE = 32.29 Mg.ha-1). By adding the TanDEM-derived interferometric coherence (Υi) into the regression modeling, better results were obtained (R2adjusted = 0.75; RMSE = 28.78Mg.ha-1). When we used both the L- and X-band attributes, the stock density prediction improved to 10.8 % for the secondary succession stands.

Paper Details

Date Published: 12 August 2014
PDF: 10 pages
Proc. SPIE 9229, Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 92291E (12 August 2014); doi: 10.1117/12.2066031
Show Author Affiliations
João Roberto Santos, National Institute for Space Research (Brazil)
Camila Valéria de Jesus Silva, National Institute for Space Research (Brazil)
Lênio Soares Galvão, National Institute for Space Research (Brazil)
Robert Treuhaft, Jet Propulsion Lab. (United States)
José Claudio Mura, National Institute for Space Research (Brazil)
Soren Madsen, Jet Propulsion Lab. (United States)
Fábio Guimarães Gonçalves, Woods Hole Research Ctr. (United States)
Michael Maier Keller, U.S. Forest Service (United States)
Univ. of New Hampshire (United States)

Published in SPIE Proceedings Vol. 9229:
Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014)
Diofantos G. Hadjimitsis; Kyriacos Themistocleous; Silas Michaelides; Giorgos Papadavid, Editor(s)

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