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Improving Forest Height-to-Biomass Allometry with Structure Information: A TanDEM-X Study

Choi, Changhyun and Pardini, Matteo and Heym, Michael and Papathanassiou, Konstantinos (2021) Improving Forest Height-to-Biomass Allometry with Structure Information: A TanDEM-X Study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2021.3116443. ISSN 1939-1404.

[img] PDF - Postprint version (accepted manuscript)

Official URL: https://ieeexplore.ieee.org/abstract/document/9552455


Allometric relations that link forest above ground biomass to top forest (i.e. canopy) height are of particular significance in the context of lidar and interferometric Synthetic Aperture Radar (SAR) remote sensing, as both techniques allow accurate height measurements at ecologically relevant spatial scales. Besides the often unknown allometry itself, its spatial variation in heterogenous forest environments restricts the performance when using a single fixed height-to-biomass allometric relation. This paper addresses how forest structure information derived from interferometric TanDEM-X data can be used to locally adapt a known height-to-biomass allometry in heterogeneous forests, and to improve biomass estimation performance. The analysis is carried out using TanDEM-X interferometric measurements in three tropical forest test sites in Gabon. A structure index expressing forest density is derived from the TanDEM-X data. Then, a continuous relationship between the structure index and the allometric level that defines the forest height-to-biomass allometry is reconstructed from the available lidar data, and used to vary the height-to-biomass relationship. Finally, the potential of the derived structure index to support an allometric relationship common to all sites is evaluated. The experimental results show the appropriateness of TanDEM-X data for characterizing structure and in this way improving the biomass estimation performance.

Item URL in elib:https://elib.dlr.de/144344/
Document Type:Article
Title:Improving Forest Height-to-Biomass Allometry with Structure Information: A TanDEM-X Study
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Choi, ChanghyunUNSPECIFIEDhttps://orcid.org/0000-0001-5963-4196UNSPECIFIED
Pardini, MatteoUNSPECIFIEDhttps://orcid.org/0000-0003-2018-7514UNSPECIFIED
Date:29 September 2021
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:Yes
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Above-ground biomass, forest height, forest structure, synthetic aperture radar (SAR), interferometry, TanDEM-X
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 - SAR Expert Support Lab
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Choi, Changhyun
Deposited On:30 Nov 2021 12:46
Last Modified:30 Nov 2021 12:46

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