Title :
Estimating and understanding vertical structure of forests from multibaseline TanDEM-X Pol-InSAR data
Author :
Pardini, M. ; Torano-Caicoya, A. ; Kugler, F. ; Papathanassiou, Konstantinos P.
Author_Institution :
Microwave & Radar Inst., German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
Abstract :
TanDEM-X (TDX) forms with TerraSAR-X (TSX) the first single-pass synthetic aperture radar (SAR) interferometer in space with polarimetric capabilities. The availability of such system allows for the first time the acquisition and analysis of X-band Pol-InSAR data from space without the disturbing effect of temporal decorrelation. After two years of mission, time series with variable baseline over the same forest sites are available, allowing to (1) explore their information content, (2) assess penetration capabilities, (3) assess scattering model assumptions, and (4) estimate vertical structure and monitor its dynamics. This paper discusses for the first time the potential of estimating forest vertical structure from spaceborne single-pass interferometers, extending classical tomographic concepts. Results of first experiments with TSX/TDX multibaseline Pol-InSAR data acquired over the Tapajos national forest (Brazil) are shown. Especially regarding tropical forests, potentials and applications of X-band for forest structure monitoring will also be discussed.
Keywords :
data acquisition; data analysis; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; time series; vegetation; vegetation mapping; Brazil; TSX/TDX multibaseline Pol-InSAR data; Tapajos national forest; TerraSAR-X; X-band Pol-InSAR data acquisition; X-band Pol-InSAR data analysis; forest sites; forest structure monitoring; forest vertical structure; information content; multibaseline TanDEM-X POL-INSAR data; penetration capabilities; polarimetric capabilities; scattering model assumptions; spaceborne single-pass synthetic aperture radar interferometers; temporal decorrelation; time series; tomographic concepts; tropical forests; variable baseline; Coherence; Decorrelation; Estimation; Spaceborne radar; Synthetic aperture radar; Tomography; Vegetation; Synthetic Aperture Radar (SAR); coherence tomography; forest structure; parameter inversion; polarimetry; spectral estimation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723796