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Early lessons on combining lidar and multi-baseline SAR measurements for forest structure characterization

Pardini, Matteo and Armston, John and Qi, Wenlu and Lee, Seung-Kuk and Tello, Marivi and Cazcarra-Bes, Victor and Choi, Changhyun and Papathanassiou, Konstantinos and Dubayah, Ralph and Fatoyinbo, Lola (2019) Early lessons on combining lidar and multi-baseline SAR measurements for forest structure characterization. Surveys in Geophysics, 40 (4), pp. 803-837. Springer. DOI: 10.1007/s10712-019-09553-9 ISSN 0169-3298

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Abstract

The estimation and monitoring of 3D forest structure at large scales strongly rely on the use of remote sensing techniques. Today, two of them are able to provide 3D forest structure estimates: lidar and synthetic aperture radar (SAR) configurations. The differences in wavelength, imaging geometry, and technical implementation make the measurements provided by the two configurations different and, when it comes to the sensitivity to individual 3D forest structure components, complementary. Accordingly, the potential of combining lidar and SAR measurements toward an improved 3D forest structure estimation has been recognised from the very beginning. However, until today there is no established framework for this combination. This paper attempts to review differences, commonalities, and complementarities of lidar and SAR measurements. First, vertical lidar reflectance and SAR reflectivity profiles at different wavelengths are compared in different forest types. Then, current perspectives on their combination for the generation of enhanced structure products are discussed. Two promising frameworks for combining lidar and SAR measurements are reviewed. The first one is a model-based framework where lidar-derived parameters are used to initialize SAR scattering models, and relies on both the validity of the models and on the physical equivalence of the used lidar and SAR parameters. The second one is a structure-based framework based on the ability of lidar and SAR measurements to express physical forest structure by means of appropriate indices. These indices can then be used to establish a link between the two kind of measurements. The review is supported by experimental results achieved using space- and airborne data acquired in recent relevant mission and campaigns.

Item URL in elib:https://elib.dlr.de/133523/
Document Type:Article
Title:Early lessons on combining lidar and multi-baseline SAR measurements for forest structure characterization
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pardini, MatteoMatteo.Pardini (at) dlr.dehttps://orcid.org/0000-0003-2018-7514
Armston, JohnUniversity of MarylandUNSPECIFIED
Qi, WenluUniversity of MarylandUNSPECIFIED
Lee, Seung-KukNASAUNSPECIFIED
Tello, MariviDLRUNSPECIFIED
Cazcarra-Bes, VictorVictor.CazcarraBes (at) dlr.dehttps://orcid.org/0000-0002-6776-4553
Choi, ChanghyunChanghyun.Choi (at) dlr.deUNSPECIFIED
Papathanassiou, KonstantinosKostas.Papathanassiou (at) dlr.deUNSPECIFIED
Dubayah, RalphUniversity of MarylandUNSPECIFIED
Fatoyinbo, LolaNASAUNSPECIFIED
Date:2019
Journal or Publication Title:Surveys in Geophysics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:40
DOI :10.1007/s10712-019-09553-9
Page Range:pp. 803-837
Publisher:Springer
ISSN:0169-3298
Status:Published
Keywords:Forest, structure, height, lidar, synthetic aperture radar (SAR), full waveforms, polarimetric SAR interferometry (Pol-InSAR), SAR tomography (TomoSAR)
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 - Projekt TanDEM-X, R - Vorhaben Tandem-L Vorstudien
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Pardini, Dr.-Ing. Matteo
Deposited On:14 Jan 2020 14:04
Last Modified:14 Jan 2020 14:04

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