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L- and P-Band 3-D SAR Reflectivity Profiles vs. Lidar Waveforms: The AfriSAR Case

Pardini, Matteo and Tello Alonso, Maria and Cazcarra-Bes, Victor and Papathanassiou, Konstantinos and Hajnsek, Irena (2018) L- and P-Band 3-D SAR Reflectivity Profiles vs. Lidar Waveforms: The AfriSAR Case. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (10), pp. 3386-3401. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2018.2847033 ISSN 1939-1404

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Abstract

The aim of this paper is to compare L- and P-band vertical backscattering profiles estimated by means of Synthetic Aperture Radar (SAR) Tomography (TomoSAR) and full LIght Detection And Ranging (lidar) waveforms in terms of their ability to distinguish different tropical forest structure types. The comparison relies on the unique DLR F-SAR and NASA LVIS lidar data sets acquired in 2016 in the frame of the AfriSAR campaign. In particular, F-SAR and LVIS data over three different test sites complemented by plot field measurements are used. First, the SAR and lidar 3-D data sets are compared and discussed on a qualitative basis. The ability to penetrate into and through the canopy down to the ground is assessed at L- and P-band in terms of both the ground-to-volume power ratio and the performance to estimate the location of the ground scattering. The effect of polarimetry in the visibility of the ground is discussed as well. Finally, the 3-D measurements for each configuration are compared with respect to their ability to derive physical forest structure descriptors. For this, vertical structure indices derived from the volume-only 3-D radar reflectivity at L- and P-band and from the LVIS profiles are compared against each other as well as against plot-derived indices.

Item URL in elib:https://elib.dlr.de/118321/
Document Type:Article
Title:L- and P-Band 3-D SAR Reflectivity Profiles vs. Lidar Waveforms: The AfriSAR Case
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pardini, MatteoMatteo.Pardini (at) dlr.dehttps://orcid.org/0000-0003-2018-7514
Tello Alonso, MariaMaria.TelloAlonso (at) dlr.deUNSPECIFIED
Cazcarra-Bes, VictorVictor.CazcarraBes (at) dlr.dehttps://orcid.org/0000-0002-6776-4553
Papathanassiou, KonstantinosKostas.Papathanassiou (at) dlr.deUNSPECIFIED
Hajnsek, IrenaIrena.Hajnsek (at) dlr.deUNSPECIFIED
Date:October 2018
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.1109/JSTARS.2018.2847033
Page Range:pp. 3386-3401
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Tropical forest, forest structure, synthetic aperture radar (SAR), SAR tomography (TomoSAR), light detection and ranging (lidar), full waveforms.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Tandem-L Vorstudien
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Pardini, Dr.-Ing. Matteo
Deposited On:18 Jan 2018 14:17
Last Modified:01 Dec 2018 19:53

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