DocumentCode
271831
Title
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer
Author
Treuhaft, Robert ; Gonçalves, Fabio ; dos Santos, João Roberto ; Keller, Matthias ; Palace, Michael ; Madsen, Søren N. ; Sullivan, Franklin ; Graça, Paulo M. L. A.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume
12
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
239
Lastpage
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 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 Mg-ha-1, which is between 29% and 35% of the average AGB of 179 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.
Keywords
radar interferometry; remote sensing by laser beam; remote sensing by radar; synthetic aperture radar; vegetation; Brazil; InSAR coherence profile; Para; TanDEM-X InSAR data; TanDEM-X data; TanDEM-X observations; Tapajos National Forest; X-band; X-band InSAR data; X-band extinction coefficient; atmospheric carbon dioxide control; field measurements; global tropical-forest biomass monitoring; interferometric synthetic aperture radar; lidar profile; spaceborne TanDEM-X interferometer; tropical-forest aboveground biomass; tropical-forest biomass estimation; vertically distributed return-power profiles; Biomass; Coherence; Estimation; Laser radar; Remote sensing; Spaceborne radar; Biomass; interferometric synthetic aperture radar (InSAR); lidar; tropical forest;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2014.2334140
Filename
6879431
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