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Title: Tropical-forest biomass estimation at X-band from the spaceborne tandem-X interferometer
Authors: Treuhaft, Robert N.
Gonçalves, Fábio Guimarães
Santos, João Roberto dos
Keller, Michael
Palace, Michael W.
Madsen, Søren Nørvang
Sullivan, Franklin B.
Graça, Paulo Maurício Lima Alencastro de
Keywords: Atmospheric Chemistry
Carbon Dioxide
Optical Radar
Sensitivity Analysis
Aboveground Biomass
Atmospheric Carbon Dioxide
Biomass Estimation
Biomass Monitoring
Complex Correlation
Extinction Coefficients
Interferometric Synthetic Aperture Radars
Tropical Forest
Synthetic Aperture Radar
Issue Date: 2015
metadata.dc.publisher.journal: IEEE Geoscience and Remote Sensing Letters
metadata.dc.relation.ispartof: Volume 12, Número 2, Pags. 239-243
Abstract: This letter reports the sensitivity of X-band interferometric synthetic aperture radar (InSAR) data from the first dual-spacecraft radar interferometer, TanDEM-X, to variations in tropical-forest aboveground biomass (AGB). It also reports the first tropical-forest AGB estimates from TanDEM-X data. Tropical forests account for about 50% of the world's forested biomass and play critical roles in the control of atmospheric carbon dioxide by emission through deforestation and uptake through forest growth. The TanDEM-X InSAR data used in this analysis were taken over the Tapajós National Forest, Pará, Brazil, where field measurements from 30 stands were acquired. The magnitude of the InSAR normalized complex correlation, which is called coherence, decreases by about 25% as AGB increases from 2 to 430\ \hbox{Mg-ha}^{-1}, suggesting more vertically distributed return-power profiles with increasing biomass. Comparison of InSAR coherences to those of small-spot (15 cm) lidar suggests that lidar penetrates deeper into the canopies than InSAR. Modeling InSAR profiles from InSAR coherence and lidar profiles yields an estimate of 0.29 dB/m for the X-band extinction coefficient relative to that of lidar. Forest AGB estimated from InSAR observations on 0.25-ha plots shows RMS scatters about the field-estimated AGB between 52 and 62\ \hbox{Mg-ha}^{-1}, which is between 29% and 35% of the average AGB of 179\ \hbox{Mg-ha}^{-1}, depending on the data analysis mode. The sensitivity and biomass-estimation performance suggest the potential of TanDEM-X observations to contribute to global tropical-forest biomass monitoring. © 2004-2012 IEEE.
metadata.dc.identifier.doi: 10.1109/LGRS.2014.2334140
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