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Forest Structure Characterization From SAR Tomography at L-Band

Tello Alonso, Marivi and Cazcarra-Bes, Victor and Pardini, Matteo and Papathanassiou, Konstantinos (2018) Forest Structure Characterization From SAR Tomography at L-Band. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (10). IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2018.2859050 ISSN 1939-1404

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Official URL: https://ieeexplore.ieee.org/document/8457291/

Abstract

Synthetic aperture radar (SAR) remote sensing configurations are able to provide continuous measurements on global scales sensitive to the vertical structure of forests with a high spatial and temporal resolution. Furthermore, the development of tomographic SAR techniques allows the reconstruction of the three-dimensional (3-D) radar reflectivity opening the door for 3-D forest monitoring. However, the link between 3-D radar reflectivity and 3-D forest structure is not yet established. In this sense, this paper introduced a framework that allows a qualitative and quantitative interpretation of physical forest structure from tomographic SAR data at L-band. For this, forest structure is parameterized into a set of a horizontal and a vertical structure index. From inventory data, both indices can be derived from the spatial distribution and the dimensions of the trees. Similarly, two structure indices are derived from the 3-D spatial distribution of the local maxima of the reconstructed 3-D radar reflectivity profiles at L-band. The proposed methodology is tested by means of experimental tomographic L-band data acquired over the temperate forest site of Traunstein in Germany. The obtained horizontal and vertical structure indices are validated against the corresponding estimates obtained from inventory measurements and against the same indices derived from the vertical profiles of airborne Lidar data. The high correlation between the forest structure indices obtained from these three different data sources (expressed by correlation coefficients between 0.75 and 0.87) indicates the potential of the proposed framework.

Item URL in elib:https://elib.dlr.de/121673/
Document Type:Article
Title:Forest Structure Characterization From SAR Tomography at L-Band
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tello Alonso, MariviUNSPECIFIEDUNSPECIFIED
Cazcarra-Bes, VictorVictor.CazcarraBes (at) dlr.dehttps://orcid.org/0000-0002-6776-4553
Pardini, MatteoMatteo.Pardini (at) dlr.dehttps://orcid.org/0000-0003-2018-7514
Papathanassiou, KonstantinosKostas.Papathanassiou (at) dlr.deUNSPECIFIED
Date:September 2018
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.1109/JSTARS.2018.2859050
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Forestry, Vegetation, Synthetic aperture radar, Tomography, Indexes, L-band
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 Multi-dimensionale SAR-Auswertung
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Cazcarra-Bes, Victor
Deposited On:01 Oct 2018 09:03
Last Modified:31 Jul 2019 20:19

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