DocumentCode :
2523672
Title :
Forest “dynamic” tomography: Height-varying temporal coherence separation
Author :
Lombardini, Fabrizio ; Cai, Francesco ; Viviani, Federico
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
fYear :
2012
fDate :
12-14 Sept. 2012
Firstpage :
94
Lastpage :
99
Abstract :
Multibaseline 3D SAR Tomography (Tomo-SAR) is a promising evolution of SAR Interferometry, to sense complex scenarios with multiple scatterers mapped in the SAR cell. Recently, this concept has been integrated with multipass Differential Interferometry, producing the Differential Tomography (Diff-Tomo, “4D”) mode which furnishes “space-time” signatures of multiple scatterer dynamics. Diff-Tomo has been usefully applied to subsidence monitoring in garbled layover urban areas. Other emerging interferometric and tomographic remote sensing applications regard forest scenarios. However, these are characterized by a temporal decorrelating and volumetric canopy scatterer, are even more complex than the urban one, and a set of open problems exist, in particular for the Tomo-SAR techniques to be applied to biomass inventory and monitoring. In this paper, to deal with such issues, experimental advances are presented of the original extension of Diff-Tomo methods for analyzing vegetated scenarios, to extract both geometric and dynamic information of forest layers. In particular, the concept of space-time signatures of temporal decorrelation - a new vision in SAR Interferometry - is confirmed with non-parametric Diff-Tomo analysis of real P-band airborne forest data. Also, the first extensive P-band phenomenological analysis of height-varying temporal coherence is shown, obtained with the new semi-parametric unique Diff-Tomo functionality of separation of temporal decorrelation mechanisms of canopy and ground. Finally, a characterization is shown and recent real data results are reported of the related Diff-Tomo enabled developing functionalities of 3D forest Tomography robust to temporal decorrelation, and of possible sub-canopy subsidence monitoring.
Keywords :
decorrelation; forestry; radar imaging; radar interferometry; remote sensing by radar; synthetic aperture radar; tomography; 3D forest tomography; P-band phenomenological analysis; SAR cell; SAR interferometry; Tomo-SAR techniques; biomass inventory; biomass monitoring; complex scenarios; differential tomography mode; dynamic information; forest dynamic tomography; forest layers; forest scenarios; garbled layover urban areas; geometric information; height-varying temporal coherence separation; interferometric remote sensing applications; multibaseline 3D SAR tomography; multipass differential interferometry; multiple scatterer dynamics; nonparametric Diff-Tomo analysis; real P-band airborne forest data; space-time signatures; sub-canopy subsidence monitoring; temporal decorrelating scatterer; temporal decorrelation; tomographic remote sensing applications; vegetated scenarios; volumetric canopy scatterer; Bandwidth; Coherence; Decorrelation; Estimation; Interferometry; Synthetic aperture radar; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Radar and Remote Sensing (TyWRRS), 2012 Tyrrhenian Workshop on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-2443-4
Type :
conf
DOI :
10.1109/TyWRRS.2012.6381111
Filename :
6381111
Link To Document :
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