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Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography

Cazcarra-Bes, Victor and Tello Alonso, Maria and Fischer, Rico and Heym, Michael and Papathanassiou, Konstantinos (2017) Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography. Remote Sensing, 9 (1229). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs9121229. ISSN 2072-4292.

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Official URL: http://www.mdpi.com/2072-4292/9/12/1229

Abstract

Synthetic Aperture Radar Tomography (TomoSAR) allows the reconstruction of the 3D reflectivity of natural volume scatterers such as forests, thus providing an opportunity to infer structure information in 3D. In this paper, the potential of TomoSAR data at L-band to monitor temporal variations of forest structure is addressed using simulated and experimental datasets. First, 3D reflectivity profiles were extracted by means of TomoSAR reconstruction based on a Compressive Sensing (CS) approach. Next, two complementary indices for the description of horizontal and vertical forest structure were defined and estimated by means of the distribution of local maxima of the reconstructed reflectivity profiles. To assess the sensitivity and consistency of the proposed methodology, variations of these indices for different types of forest changes in simulated as well as in real scenarios were analyzed and assessed against different sources of reference data: airborne Lidar measurements, high resolution optical images, and forest inventory data. The forest structure maps obtained indicated the potential to distinguish between different forest stages and the identification of different types of forest structure changes induced by logging, natural disturbance, or forest management.

Item URL in elib:https://elib.dlr.de/114132/
Document Type:Article
Title:Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Cazcarra-Bes, VictorVictor.CazcarraBes (at) dlr.dehttps://orcid.org/0000-0002-6776-4553
Tello Alonso, MariaMaria.TelloAlonso (at) dlr.deUNSPECIFIED
Fischer, RicoDepartment of Ecological Modelling, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, 04318, Leipzig, Germany.UNSPECIFIED
Heym, MichaelTechnical University of Munich, Hans-Carl-v.-Carlowitz-Platz 2 85354 Freising, Germany.UNSPECIFIED
Papathanassiou, KonstantinosKostas.Papathanassiou (at) dlr.deUNSPECIFIED
Date:28 November 2017
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI :10.3390/rs9121229
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:synthetic aperture radar (SAR); tomography; forest structure; forest dynamics; horizontal forest structure; vertical forest structure; L-band; compressive sensing
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 Multi-dimensionale SAR-Auswertung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Cazcarra-Bes, Victor
Deposited On:25 Sep 2017 12:16
Last Modified:14 Dec 2019 04:26

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