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Estimation of Vertical Structure of Forests from Multibaseline SAR data: A Performance Analysis

Marongiu, Sara (2015) Estimation of Vertical Structure of Forests from Multibaseline SAR data: A Performance Analysis. Master's, University of Pisa.

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The knowledge of the vertical forest structure and of its changes in space and time is fundamental e.g. for the assessment of heterogeneity, biodiversity, disturbance regime, and for the development of robust and accurate biomass estimators. Synthetic aperture radar (SAR) systems will play an essential role in establishing a continuous, systematic and global forest observation framework. Indeed, they provide the unique ability to image large areas at high spatial and temporal resolution, and at the same time they penetrate into the forest volume providing information about its vertical structure. Among the different SAR techniques that have been developed in the last decades, SAR Tomography (TomoSAR) allows the estimation of the 3-D distribution of the backscattered power from multiple SAR images, thus providing a proxy to forest vertical structure. Although TomoSAR is an established technique with several algorithmic implementations, there is still a lack of performance analyses characterizing the TomoSAR information extraction with respect to system constraints and forest structure product requirements. The aim of this thesis is to present some results of a performance analysis, considering the reconstruction of forest structure based on the Capon spectral estimator. Taking as a reference a number of meaningful backscattering profiles, the obtained Capon tomograms have been decomposed into a sum of Gaussian-shaped functions. In this way, each continuous power pro�les could be discretized into a limited set of parameters, and the estimation performance could be evaluated in terms of the root mean squared error associated to each of them by means of Monte Carlo simulations. In a second stage, the capability to distinguish between different pro�les has been evaluated. In this case, the performance has been quantified as the probability of correct detection of the changes of the layer parameters. For both TomoSAR pro�le estimation and profile change detection, the performance indicators have been evaluated as a function of e.g. tomographic height resolution (i.e. maximum baseline length), number of acquisitions and number of looks. Moreover a preliminary power analysis of real airborne TomoSAR data has bee carried out. In this regard the investigation and an attempt to solve some of the main issues that occur in the Tomographic data have been approached. The results of this work are expected to contribute to spaceborne system studies (like Tandem-L) aimed at optimizing acquisition strategies for forest structure observation in order to meet product requirements.

Item URL in elib:https://elib.dlr.de/88444/
Document Type:Thesis (Master's)
Title:Estimation of Vertical Structure of Forests from Multibaseline SAR data: A Performance Analysis
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Marongiu, SaraUniversity of PisaUNSPECIFIEDUNSPECIFIED
Date:31 March 2015
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:85
Keywords:SAR, Tomography, Polarimetry, Forest, Vertical structure, temporal variations
Institution:University of Pisa
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Tandem-L Vorstudien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Pardini, Dr.-Ing. Matteo
Deposited On:10 Mar 2014 11:10
Last Modified:27 Nov 2015 08:57

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